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1468 papers and 35 presentations; 1372 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 Demystifying Regression Analysis Techniques with R Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao		 35
WUSS 2026 Interactive Modeling with SAS Visual Statistics Danny R. Modlin source 28
WUSS 2026 The GENMOD Toolkit: What do you do when things aren't Normal? [presentation] Danny R. Modlin source 36
PharmaSUG CN 2026 AI-Native Real-Time SDTM Mapping and Exploration Agent Hao Chen,
Xuejie Zhou,
Haomin Yang,
Qianwang Wang		 source 13
PharmaSUG CN 2026 From AI-Ready Metadata to Intelligent Agents: Enabling Human-in-the-Loop Coordination in Clinical Programming Yanan Sui,
Tingting Zeng,
Yaohui Zhu,
Nana Yang,
Mingliang Fan		 source 6
PharmaSUG 2026 AI-Assisted Modular Design for R Markdown Report Generation A Hybrid Architecture for Enhanced Maintainability and Cross-Study Scalability Song Liu,
Jingwei Xiong		 source 13
PharmaSUG 2026 Regression Analysis Made Easy Using R Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao		 source 32
PHUSE US 2026 AI-Optimised AESI Flagging: Streamlined SAS Hash Table Logic with Dynamic CALL EXECUTE and Metadata-Driven Specifications Hang Zhong,
Rashad Rasul,
Jiaqi Hu		 source
presentation source		 12
PHUSE US 2026 Evolve Clinical Data Management: A Python-Based Framework for Clinical Data Transformation with Generative AI Integration Mitul Patel,
Denis Sokolov		 source
presentation source		 5
PHUSE APAC 2026 Machine Learning Algorithms to Explore the Relationship Between Primary Obsessive-Compulsive Disorder (OCD) and Co-morbid Depression Symptoms Ajay Kumar Singh,
Sabyasachi Mukherjee		 source
presentation source		 12
PHUSE EU 2025 GLMM and GEE for Categorical Repeated Measures - Linking SAS and R Miriam Amor source
presentation source		 16
SESUG 2025 Easily Turn Your Automated Explanation into a Predictive Model Danny R. Modlin 21
SESUG 2025 Multiple Logistic Regression Using SAS and SPSS Amita Patil 14
SESUG 2025 Statistical Analysis in SAS: The Not-So-Scary Overview Danny R. Modlin 64
SESUG 2025 The GENMOD Toolkit: What do you do when things aren't Normal? Danny R. Modlin 36
WUSS 2025 The GENMOD Toolkit: What do you do when things aren't Normal? [presentation] Danny R. Modlin source 36
PharmaSUG 2025 Deciphering Exposure-Response Analysis Datasets: A Programmer-s Perspective for Oncology Studies Sabarinath Sundaram source 6
PharmaSUG 2025 Implementation of the inverse probability of censoring weighting (IPCW) Model in Oncology Trials Mei Huang,
Shibani Harite,
Haijun Ma,
Linsong (Athena) Zhang		 source 17
PharmaSUG 2025 Landmark Analysis: A Method for Accurate Prediction of Time-Dependent Clinical Risks and Their Effect on Patient Outcomes Sunil Kumar Pusarla,
Avani Reddy Alla		 source 8
PharmaSUG 2025 Practical Process in SAS of Using External Controls Hui Mao,
Na Wang,
Lixin Gao		 source 5
PharmaSUG 2025 Programming Perspectives for Efficient and Accurate C-QTc Analysis Lingjie Zhang,
Lata Maganti,
Richard Moreton,
Runcheng Li		 source 11
PharmaSUG 2025 Super Learner for Predictive Modeling and Causal Analysis Honghe Zhao,
Clay Thompson,
Michael Lamm		 source 9
PHUSE US 2025 Accelerating Data Integration: Utilizing Python Scripts and Semantic Search for Variable Mapping in Multiple Studies Xiaopeng Li source
presentation source		 6
PHUSE US 2025 Comparing Confidence Intervals for a Difference in Adjusted Predicted Probabilities Cralen Davis,
Trevano Dean		 source
presentation source		 5
MWSUG 2024 Developing Artificial and Convolutional Neural Networks with Python's Keras API for TensorFlow Ryan Paul Lafler,
Anna T. K. Wade		 source 18
MWSUG 2024 Revelation and Exploration for COVID-19 Data: Visual Data Insights and an InfoGeographic Atlas [presentation] LeRoy Bessler source 97
MWSUG 2024 Teaching Your Computer to See: Using Computer Vision to Detect Defects [presentation] Scott Koval source 23
PHUSE EU 2024 Leveraging 'Ensemble' Machine Learning Models to Drive Automation of Specification Generation and Data Mapping in Clinical Trial Data Submission Venu Mallarapu source
presentation source		 10
PHUSE EU 2024 Streamlining Complex Analysis: An SAS Macro for Marginal Structural Modelling Amine Khemiri source
presentation source		 6
SESUG 2024 A Comprehensive Analysis of the Relationship Between Depression, Sleep Deprivation, and Self-Esteem Using Advanced Statistical Methods Muslihat Adejoke Gaffari source 43
SESUG 2024 Developing Artificial and Convolutional Neural Networks with Python's Keras API for TensorFlow Ryan Paul Lafler,
Anna T. K. Wade		 source 18
SESUG 2024 Interactive Modeling with SAS Visual Statistics Danny R. Modlin source 28
SESUG 2024 Using SAS In Analyzing Trends in Corn Yields, Surface Temperature, and Precipitation in U.S. South Atlantic Census Division States Abdullah Khan source 31
WUSS 2024 Correlation of a Composite Self-Reported Symptoms Severity Score with Patient Number of Symptoms as Predictors of SARS-CoV-2 infection status/Viral Load using the SAS System [presentation] Jesse Albert Canchola,
Daniel Jarem,
Alison Kuchta		 source 54
WUSS 2024 Developing Artificial and Convolutional Neural Networks with Python's Keras API for TensorFlow Ryan Paul Lafler,
Anna T. K. Wade		 source 18
WUSS 2024 From Keys to Credit: A Deep Dive into Homeownership's Influence on Loan Quality Yi-Che Chen,
Debanik Chakraborty		 source 15
WUSS 2024 Regression Analysis Made Easy Using SAS Studio Zheyuan (Walter) Yu source 42
PharmaSUG CN 2024 Application of I&I Late Phase in Programming Renxiang Wang source 15
PharmaSUG CN 2024 Implementation on concentration-QTc modeling Daoqing Li,
Deli Cao		 source 20
PharmaSUG 2024 Bayesian Additive Regression Trees for Counterfactual Prediction and Estimation Michael Lamm source 10
PharmaSUG 2024 Bayesian Models with the Power Prior Using PROC BGLIMM Yi Gong,
Fang K. Chen		 source 15
PharmaSUG 2024 Multiple Logistic Regression Analysis using Backward Selection Process on Objective Response Data with SAS Girish Kankipati,
Jai Deep Mittapalli		 source 9
PharmaSUG 2024 The Survival Mode Varsha Ganagalla,
Natalie Johnson		 source 12
PharmaSUG 2024 Unraveling the Layers within Neural Networks: Designing Artificial and Convolutional Neural Networks for Classification and Regression Using Python-s Keras & TensorFlow Ryan Paul Lafler,
Anna T. K. Wade		 source 18
PharmaSUG 2024 Unravelling the SDTM Automation Process through the Utilization of SDTM Transformation Template Lakshmi Mantha,
Inbasakaran Ramesh		 source 11
PharmaSUG 2024 Variable Subset Codelist Kang Xie source 7
PHUSE US 2024 Analysis of Same Objective - Different SAS Procedures: How to Choose a SAS Procedure Wisely for a Statistical Analysis? Pradeep Acharya,
Ephicacy Lifescience		 source
presentation source		 9
PHUSE US 2024 Beyond Outliers: Unsupervised Anomaly Detection in Clinical Trial Data Helena Yaben,
Kian Norouzi		 source
presentation source		 9
PHUSE US 2024 Population Pharmacokinetic Analysis Data (ADPPK) Programming in {admiral} and the pharmaverse Jeffrey Dickinson source
poster source		 9
PHUSE US 2024 Spline Analysis to Understand the Non-linear Relationship in Clinical Research Anwaya Joshi source
presentation source		 9
PHUSE EU 2023 'Beep Beep': A Metadata Code Writer to Generate SAS Programs Giuseppe Di Monaco source
presentation source		 10
PHUSE EU 2023 Automating ADaM Dataset Generation via Definitive Specification Writing with A Domain-Specific Language Kang Zhao source
presentation source		 7
WUSS 2023 Getting Started with the SGPLOT Procedure Joshua M. Horstman source 18
WUSS 2023 Introduction to Machine Learning - Descriptions and Best Practices Jim Box source 13
WUSS 2023 Leveraging Logistic Regression and Bootstrap Sampling to Assess a Decision Threshold in Classification Predictive Analytics Colleen E. McGahan source 15
WUSS 2023 Picking Scabs and Digging Scarabs: Refactoring User-Defined Decision Table Interpretation Using the SAS Hash Object To Maximize Efficiency and Minimize Metaprogramming Troy Martin Hughes,
Louise S. Hadden		 source 15
WUSS 2023 Regression Analysis Made Easy Using SAS Studio Kirk Paul Lafler,
Zheyuan (Walter) Yu,
Nuoer Lu,
Nicklas (Rebel) Yee,
Yanzhang Gavin Chen,
Kai Kang		 source 43
WUSS 2023 Unraveling the Layers within Neural Networks: Designing Artificial and Convolutional Neural Networks for Classification and Regression Tasks using TensorFlow in Python Ryan Paul Lafler,
Anna T. K. Wade		 source 24
WUSS 2023 What's next after model comparison? Model selection and model averaging in SAS Chong Ho Yu,
Charlene Yang		 source 14
SESUG 2023 Longitudinal Analysis of Marital Therapy's Impact on Intimacy in Heterosexual Couples Yaa Awuah,
Mostafa Zahed		 source 19
SESUG 2023 Predicting Employees' Preference for Remote or On-site Jobs Livingstone Gadzanku source 10
SESUG 2023 Regression Analysis Made Easy Using SAS Studio Kirk Paul Lafler,
Zheyuan (Walter) Yu,
Nuoer Lu,
Daniel Qian,
Kai Kang,
Yanzhang Gavin Chen,
Nicklas (Rebel) Yee,
Yixuan (Jason) Xiang		 source 43
SESUG 2023 SAS Macro for Randomization-Based Methods for Covariance and Stratified Adjustment of Win Ratios and Win Odds for Ordinal Outcomes Elaine Kowalewski,
Ann Marie K. Weideman,
Gary G. Koch		 source 11
PharmaSUG 2023 Picking Scabs and Digging Scarabs: Refactoring User-Defined Decision Table Interpretation Using the SAS Hash Object To Maximize Efficiency and Minimize Metaprogramming Troy Martin Hughes,
Louise S. Hadden		 source 15
PharmaSUG 2023 What is Machine Learning, anyway? Jim Box source 11
PHUSE EU 2022 If you want to deliver standardised clinical data sets quickly, talk to the machine Chris Austin,
Michael Phillips		 source
presentation source		 6
PHUSE EU 2022 Trimmed Mean Analysis Is Not Rocket Science [presentation] Kateryna Fedoryshyna source
video		 18
SESUG 2022 A SAS Macro That Automates Model Fitting of Group-Based Trajectory Modeling Using Proc TRAJ Donald Warden,
Yu Jiang		 source 9
SESUG 2022 Use of JMP's Prediction Profiler to Predict Outcomes of Acute Spinal Cord Injury Melvin T. Alexander source 9
WUSS 2022 Attribute Reduction for Continuous Dependent Variables in SAS Alec Zhixiao Lin source 20
WUSS 2022 Story telling with SAS Visual Statistics Jim Box,
Laura Watson		 source 8
PharmaSUG 2022 Potential features analysis affect Covid-19 spread Yida Bao,
Philippe Gaillard		 source 11
PharmaSUG 2022 Unravel the mystery around NONMEM data sets for statistical programmers Sabarinath Sundaram,
Lyma Faroz		 source 9
PHUSE US 2022 Machine Learning in R to Predict Outcomes from Biomarker Data [presentation] Benno F. Kurch,
Prakash Dev		 source
video		 21
PHUSE EU 2021 Statistical Approaches in Complex Efficacy Analysis for Vaccine Trials [presentation] Drisya C A,
Nijitha L M		 source
video		 10
SESUG 2021 Back to Basics: Running an Analysis from Data to Refinement in SAS Deanna Naomi Schreiber-Gregory source 21
SESUG 2021 Screening, Binning, Transforming Predictors for a Generalized Logit Model Bruce S. Lund source 17
SESUG 2021 Use SAS Enterprise Miner Workstation 15.1 to Do Predictive Analysis for Mobile Strategy Games Industry Chun Du source 11
SESUG 2021 Using QUANTREG to Examine time and Drug on Histamine HA level in Mice Abbas S. Tavakoli,
Navid S. Tavakoli		 source 7
PHUSE US 2021 Central Statistical False Positives - Predicting True Signals with Machine Learning [presentation] Dorothea Ugi source
video		 24
PHUSE US 2021 SDTM Mapping and Conversion Using NLP [presentation] Eric Weising source
video		 16
PharmaSUG 2021 Back to Basics: Running an Analysis from Data to Refinement in SAS Deanna Naomi Schreiber-Gregory source 21
PharmaSUG 2021 Build a model: Introducing a methodology to develop multiple regression models using R in oncology trial analyses Girish Kankipati,
Jai Deep Mittapalli		 source 20
PharmaSUG 2021 Dynamic macro using the convergence dataset to generate the Odds Ratio (OR), Risk Ratio (RR) and Risk Difference (RD) per SOC/PT using Genmod procedure Jagadish Katam source 20
PharmaSUG 2021 Graphical Representation of Clinical Data using Heat Map Graph Pavani Potuganti,
Sree Nalluri		 source 10
PharmaSUG 2021 Mitigating Multicollinearity: Using Regulation Techniques to Minimize the Effect of Collinearity Deanna Naomi Schreiber-Gregory source 23
PharmaSUG 2021 Preserving the Privacy of Participant's Data by Data Anonymization Chaithanya Velupam,
Kaushik Sundaram		 source 10
PharmaSUG 2021 SAS Proc Mixed: A Statistical Programmer-s Best Friend in QoL Analyses Janaki Devi Manthena,
Varsha Korrapati,
Chiyu Zhang		 source 9
SGF 2021 Back to Basics: Running an Analysis from Data to Refinement in SAS Deanna Naomi Schreiber-Gregory source
presentation		 20
SGF 2021 Bayesian Analysis of GLMMs Using PROC BGLIMM Walter W. Stroup source
pdf		 25
SGF 2021 Do Americans Trust Scientific Experts? Jaswinder Singh,
Kalyan Alisetty,
Vinil Rayala,
Taylor Rebollar		 source 7
SGF 2021 Do I Have Enough? - A Macro for Sample Size Determination in Simple and Multiple Logistic Regression Carl P. Wilson source
sas		 10
SGF 2021 Haste Makes Waste: Don't Ruin Your Reputation With Hasty Regression Steven C. Myers source
presentation
sas		 39
SGF 2021 Investing in Education Intelligently Sam Edison,
Rushya Puttam,
Akhil Emani,
Nithisha Katta		 source
presentation		 7
SGF 2021 Modeling Causal Effects Using SAS/STAT John Amrhein,
McDougall Scientific		 source 21
SGF 2021 Modernizing Scenario Analysis With SAS Viya and SAS Visual Analytics Arne Cordes,
Stu Sztukowski		 source
presentation		 21
SGF 2021 Using the %SCAN Function [presentation] Jonas V. Bilenas source
presentation		 10
PHUSE EU 2020 SDTM Mapping and Conversion Using ML/NLP [presentation] Eric Weising,
Farha Feroze		 source
video		 15
SESUG 2020 A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education Deanna Naomi Schreiber-Gregory source 13
SGF 2020 %SURVEYCORRCOV Macro: Complex Survey Data Correlations for Multivariate Analysis and Model Building David R. Nelson,
Siew Wong-Jacobson		 source 20
SGF 2020 A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education Deanna Naomi Schreiber-Gregory source 13
SGF 2020 Analyzing Non-normal Data: Application to Missing Data Problems Niloofar Ramezani source 10
SGF 2020 Analyzing the Factors Impacting Suicidal Behavior in American Youth Ashlesha Sampathi source 7
SGF 2020 Automation in SAS Visual Data Mining and Machine Learning Wendy Czika source 26
SGF 2020 Causal Effect Estimands: Interpretation, Identification, and Computation Clay Thompson source 20
SGF 2020 Developing Credit Scores with Telco Data Using Machine Learning and Agile Methodology Luciano Diettrich source 14
SGF 2020 Enabling Real-Time Stability Monitoring using SAS Viya and SAS Event Stream Processing Sanjeev Heda source 12
SGF 2020 Enhancing Academic Teaching of Data Science with SAS Viya for Learners Stefan Dimitrov Stoyanov source 30
SGF 2020 Explanatory Machine Learning Model Plots for Epidemiological and Real-World Evidence Studies David Olaleye source 22
SGF 2020 Exploring Online Drug Reviews using Text Analytics, Sentiment Analysis, and Data Mining Models Thu Dinh,
Goutam Chakraborty		 source 23
SGF 2020 How to Explain Your Black-Box Models in SAS Viya Funda Güneş source 26
SGF 2020 Human Bias in Machine Learning: How Well Do You Really Know Your Model? Jim Box source 14
SGF 2020 Machine Learning Approach to Combat the Opioid Epidemic Navjot Kaur source 15
SGF 2020 Modeling of Between - and Within-Subject Variances using Mixed Effects Location Scale (MELS) Models Qianheng Ma,
Donald Hedeker		 source 14
SGF 2020 Multinomial vs. Ordinal. Does model selection make a difference? for SAS Global Forum 2020 Corey Leadbeater source 15
SGF 2020 Neural-Network Based Forecasting Strategies in SAS Viya Steven C. Mills source 14
SGF 2020 Semi-automatic Feature Engineering from Transactional Data James A. Cox,
Biruk Gebremariam,
Tao Wang		 source 17
SGF 2020 Simulating Data for Complex Linear Models Phil Gibbs,
Kathleen Kiernan		 source 20
SGF 2020 The Plight of the Honeybee Rachael Bishop source 8
SGF 2020 The Seven Most Popular Machine Learning Algorithms for Online Fraud Detection and Their Use in SAS Patrick Maher source 6
SGF 2020 Tips for Building Rich Interaction in Your SAS Visual Analytics Reports Jeanne Marie Tan,
Sierra Shell		 source 11
SGF 2020 Turning the Crank. A Simulation of Optimizing Model Retraining David R. Duling source 17
SGF 2020 Using Python with Model Studio for SAS Visual Data Mining and Machine Learning Jagruti Kanjia source 35
SGF 2020 Variable Selection Using Random Forests in SAS Denis Nyongesa source 11
SGF 2020 What's New in SAS Visual Analytics? Smart Business Intelligence, Smart Analytics Rajiv Ramarajan,
Mark Malek		 source 14
SGF 2020 What's New in SAS Visual Data Mining and Machine Learning: From a Programmer's Perspective Tao Wang source 13
SGF 2020 Winning Tactics for SAS Visual Data Mining and Machine Learning: Why it's the Only Skill You Need Chris St. Jeor source 12
SGF 2020 You Are Using PROC GLM Too Much (and What You Should Be Using Instead) Peter L. Flom source 22
PharmaSUG 2020 A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education Deanna Naomi Schreiber-Gregory source 14
PharmaSUG 2020 Butterfly Plot for Comparing Two Treatment Responses Raghava Pamulapati source 13
PharmaSUG 2020 Detecting Side Effects and Evaluating the Effectiveness of Drugs from Customers' Online Reviews using Text Analytics, Sentiment Analysis and Machine Learning Models Thu Dinh,
Goutam Chakraborty		 source 22
PharmaSUG 2020 RStats: A R-Shiny application for statistical analysis Sean Yang,
Hrideep Antony,
Aman Bahl		 source 8
PharmaSUG 2020 You Are Using PROC GLM Too Much (and What You Should Be Using Instead) Peter L. Flom,
Deanna Naomi Schreiber-Gregory		 source 15
PHUSE EU 2019 Mixed Model Repeated Measures (MMRMs) Mrudula Suryawanshi source
presentation source		 19
PHUSE EU 2019 SMART RPA - powered by Machine Learning Charan Kumar Kuyyamudira Janardhana source
presentation source		 10
PHUSE EU 2019 Using R to build artificial neural networks in medical data Thomas Wollseifen source
presentation source		 17
SESUG 2019 Advanced Statistical Modeling within Machine Learning and Big Data Analytics Niloofar Ramezani,
George Mason		 source 16
SESUG 2019 Generalized Linear Mixed Model Approach to Time-to-Event Data with Censored Observations Censored Observations source 9
SESUG 2019 Glass Box Neural Networks Ross Bettinger source 14
SESUG 2019 Hybrid Rare Event Sampling Technique Ross Bettinger source 15
SESUG 2019 Improving Employee Satisfaction Through Text Analytics Luis David Martinez source 15
SESUG 2019 Introduction to Propensity Score Modeling and Treatment Effect Estimation Jason Brinkley source 13
SESUG 2019 Macros for Neural Network Modeling Ross Bettinger source 23
SESUG 2019 The Best of Both Worlds: Forecasting Using Time Series with Inputs David A. Dickey source 19
SESUG 2019 The Thorn in My Side!! Logistic Regression Continuous Variables that Violate the Assumption of Linearity on the Log-odds (Logit) Scale: How to Identify and What to Do? Janet M. Grubber,
Cynthia J. Coffman		 source 13
SESUG 2019 Time Series Forecasting using PROC MCMC SESUG 2019 Murali Sastry,
Tyler Hicks		 source 16
SESUG 2019 Validating Classification and Recidivism in Corrections Through Outcome Analytics Alan R. Mann source 34
SCSUG 2019 Can Life Style Change Prevent Diabetes? Mounica Mandapati source 11
SCSUG 2019 Explore your data before you rush to analysis, you will thank me later: explorations in cross section data Steven C. Myers source 28
MWSUG 2019 Classifying Risk in Life Insurance using Predictive Analytics Sai Gopi Krishna Govindarajula 6
MWSUG 2019 Detecting Side Effects and Evaluating Effectiveness of Drugs from Customers' Online Reviews using Text Analytics and Data Mining Models Thu Dinh 23
MWSUG 2019 Explore your data before you rush to analysis, you will thank me later: explorations in cross section data Steven C. Myers 28
MWSUG 2019 Survival Tips for Survival Analysis Xiaoting Wu 13
WUSS 2019 Choosing Wisely: Using the Appropriate Statistical Test for Trend in SAS Christina Park,
Jui-Ting Hsiung,
Melissa Soohoo,
Elani Streja		 source 10
WUSS 2019 General, Age-Specific, and Total Fertility Rates in Montana, 2008-2017 Matthew Ringel source 7
WUSS 2019 Ordinal vs. Multinomial: Does Model Selection Make a Difference? Corey Leadbeater source 14
WUSS 2019 Polynomial Regression for Modeling Curvilinear Data: A Biological Example Elisha Johnston source 20
WUSS 2019 PROC DTREE VS PROC HPSPLIT YuTing Tian source 19
WUSS 2019 Using convergence status in a macro to iterate through a series of models Kristi Busico Metzger source 8
WUSS 2019 Variable Selection Using Random Forests in SAS Denis Nyongesa source 11
PharmaSUG 2019 %LOGBINAUTO: A SAS 9.4 Macro for Automated Forward Selection of Log-Binomial Models Matthew Finnemeyer source 12
PharmaSUG 2019 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory,
Karlen Bader		 source 21
PharmaSUG 2019 PROC MIXED: Calculate Correlation Coefficients in the Presence of Repeated Measurements Qinlei Huang,
Radha Railkar		 source 16
PharmaSUG 2019 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory,
Karlen Bader		 source 23
PharmaSUG 2019 SAS V9.4 MNAR statement for multiple imputations for missing not at random in longitudinal clinical trials Lingling Li source 11
PharmaSUG 2019 Using Real-World Evidence to Affect the Opioid Crisis Sherrine Eid,
Andrea Coombs		 source 10
SGF 2019 A Comparison of Algorithmic and Epidemiologic Approaches for Modeling Predictors of Type II Diabetes Audrey Whittle source 8
SGF 2019 A Quick Tour for SAS Visual Analytics 8.3: More Visual, More Analytics Rajiv Ramarajan,
Jordan Riley Benson		 source 9
SGF 2019 Applying Propensity Score Methods to Complex Survey Data Using PROC PSMATCH Patrick Karabon source 10
SGF 2019 Asking the Right Questions: A study in Multiclass Imbalanced Classification for H1-B Visas Matthew Bunker,
Owen Kelly		 source 7
SGF 2019 Causal Graph Analysis with the CAUSALGRAPH Procedure Clay Thompson source 21
SGF 2019 Conducting Tests in Multivariate Regression Chii-Dean Joey Lin source 13
SGF 2019 Creating Great Maps in ODS Graphics Using the SGMAP Procedure Kelly Mills source 11
SGF 2019 Developing a Credit Risk Model Using SAS Amos Odeleye source 16
SGF 2019 Distribution Transformer Health Monitoring and Predictive Asst Maintenance Prasenjit Shil,
Tom Anderson		 source 11
SGF 2019 Factors Affecting Mental Health in Employees and Their Relation to Suicide Rates at a Workplace Shambhavi Pandey source 11
SGF 2019 Factors Influencing Academic Performance Onkar Mayekar,
Miriam McGaugh		 source 9
SGF 2019 Generating Sales Insights from Predictive Models Krzysztof Dzieciolowski source 10
SGF 2019 Getting Started with the SGPLOT Procedure Joshua M. Horstman source 19
SGF 2019 How to Use Deep Learning with Your Internet of Things (IoT) Digital Twin Bradley W. Klenz source 9
SGF 2019 Machine Learning and Predictive Analytics in SAS Enterprise Miner and SAS/STAT Software David Richard Cutler source 21
SGF 2019 Monitoring the Relevance of Predictors for a Model Over Time Ming-Long Lam source 16
SGF 2019 Predicting the success of a startup company Vrushank Shah,
Miriam McGaugh		 source 11
SGF 2019 Real-World Evidence and Population Health Analytics: Intersection and Application David Olaleye source 16
SGF 2019 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory source 23
SGF 2019 SAS Enterprise Miner and SAS Visual Data Mining and Machine Learning Hand Shake Jagruti Kanjia,
Dominique Latour,
Holly Sweeney		 source 35
SGF 2019 SCORE! Techniques for Scoring Predictive Regression Models Using SAS/STAT Software Phil Gibbs,
Randy Tobias		 source 18
SGF 2019 Screening, Transforming, and Fitting Predictors for the Cumulative Logit Model Bruce S. Lund source 21
SGF 2019 The Aftermath What Happens after you Deploy Your Models and Decisions David R. Duling source 18
SGF 2019 The Bayesians are Coming! The Bayesians are Coming! The Bayesians Are Coming to Time Series! Aric LaBarr source 13
SGF 2019 The Benefits of Keeping It Casual: Investigating Stress-Mediated Health Outcomes with PROC CAUSALMED Daniel Muzyka,
Matthew Lypka		 source 19
SGF 2019 The Best of Both Worlds: Forecasting Using Time Series with Inputs David A. Dickey source 19
SGF 2019 Using Cost-Sensitive Predictive Modeling in Digital Marketing Romana Sipoldova source 7
SGF 2019 Using SAS Procedures to Fit Rasch Models Tianshu Pan,
Yumin Chen		 source 10
SGF 2019 Writing a Gradient Boosting Model Node for SAS Visual Forecasting Yue Li,
Jingrui Xie,
Iman Vasheghani Farahani		 source 19
PHUSE US 2019 Misuse and Misapplication in Statistical Data Analysis - A Topic that Never Goes Out of Style Corinna Miede source
presentation source		 12
SCSUG 2018 City of Austin Community Perception and Satisfaction Analysis Eric Hart source 11
SCSUG 2018 Deciphering cryptocurrencies: Sentiments and prices Priyansh Dadar source 6
SCSUG 2018 Machine Learning in Litigation Prediction - Workers' Compensation Litigation Propensity Predictive Model Mei Najim source 17
SCSUG 2018 NBA Draft Analytics: Boom or Bust? Isaiah Hartman source 17
PHUSE EU 2018 An Efficient Way for Statistical Review Using RShiny Application Adarsh Nagare,
Sameer Bamnote		 source
presentation source		 9
PHUSE EU 2018 Enhancing the Application of Real-world Evidence with Episode of Care Analytics David Olaleye,
Lina Clover		 source
presentation source		 13
SESUG 2018 ANALYSIS OF FACTORS INFLUENCING DROPOUTS IN SOPHOMORE ENROLLMENT Apoorva Chandrasekaran source 14
SESUG 2018 Automated Comparison Tables using PROC REPORT Evan Kwiatkowski source 6
SESUG 2018 Comparison of SAS, SAS University Edition, and Microsoft Excel in Collaborative Data Analysis of Physical Properties by Scientist and Statistical Programmer John Schreiber source 6
SESUG 2018 Computing Predicted Values and Residuals from Data Sets Containing Classification Variables with Large Numbers of Levels Jamie McClave Baldwin,
Ramon C. Littell,
James McClave		 source 14
SESUG 2018 Getting Started with the SGPLOT Procedure Joshua M. Horstman source 18
SESUG 2018 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory,
Henry M. Jackson		 source 22
SESUG 2018 Predicting the Risk of Attrition for Undergraduate Students using SAS Enterprise Miner Sivateja Reddy Kandula source 12
SESUG 2018 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory,
Henry M. Jackson		 source 23
MWSUG 2018 Alternative Methods of Regression when OLS is Not Right Peter L. Flom 22
MWSUG 2018 Baseline Mean Centering for Analysis of Covariance (ANCOVA) Method of Randomized Controlled Trial Data Analysis Jennifer Scodes 6
MWSUG 2018 Getting Started with the SGPLOT Procedure Joshua M. Horstman 18
MWSUG 2018 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory,
Karlen Bader		 22
MWSUG 2018 Pan-Cancer Epigenetic Biomarker Selection from Blood Sample Using SAS Xi Chen,
Jin Xie,
Qingcong Yuan		 9
MWSUG 2018 Propensity Scores and Causal Inference for (and by) a Beginner Bruce S. Lund 18
MWSUG 2018 Regularization Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory,
Karlen Bader		 23
MWSUG 2018 Screening, Transforming, and Fitting Predictors for Cumulative Logit Model Bruce S. Lund 22
WUSS 2018 Getting Started with the SGPLOT Procedure Joshua M. Horstman source 18
WUSS 2018 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory source 21
WUSS 2018 Non-parametric Analysis of the Variance in SAS Hend Aljobaily source 11
WUSS 2018 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory source 23
WUSS 2018 Using Net Lift Measure to Model the Effects of Changes in Interest Rates on Mortgage Prepayment Alec Zhixiao Lin,
Xiao Hu		 source 15
PHUSE US 2018 Drug-Induced Liver Injury (DILI) Classification Using FDA-Approved Drug Labeling and FAERS Data - FDA Qais Hatim source
presentation source		 31
PHUSE US 2018 Modeling and Text Analysis to Empower FAERS Adverse Event Mitigation Qais Hatim,
Emily McRae		 source
presentation source		 24
PharmaSUG 2018 A One-Sided Fisher's Exact Test: A Tail of Clinical Worsening William Coar source 8
PharmaSUG 2018 An Introduction to the Analysis of Rare Events Nathaniel Derby source 19
PharmaSUG 2018 Build Models without Code with the new SAS Visual Interface Jim Box source 12
PharmaSUG 2018 Challenges & Strategies in PKPD Programming Jing Su,
Jiannan Kang		 source 6
PharmaSUG 2018 Multicollinearity: What Is It and What Can We Do About It? Deanna Naomi Schreiber-Gregory source 13
PharmaSUG 2018 Preventing premature unblinding in PK/PD related studies Debbie Sisco,
Alice Zong		 source 11
PharmaSUG 2018 Programming Support for Anti-Drug Antibody Pharmacokinetics in Therapeutic Protein Drug Development Linghui Zhang,
Jiannan Kang		 source 11
PharmaSUG 2018 Statistician in my Soul. Statistical Questions from SPA Nadiia Hryhorenko source 12
SGF 2018 A One-Sided Fisher's Exact Test: A Tail of Clinical Worsening Bill Coar source 9
SGF 2018 A SAS Macro Implementation of a Test for Co-directional Interactions Julia Sharp,
Patrick Gerard,
Bereket Tesfaldet		 source 16
SGF 2018 A Study of Modeling Approaches for Predicting Dropout in a Business College Helmut Schneider,
Xuan Wang		 source 8
SGF 2018 Alternative Variance Parameterizations in Count Data Models Robin High source 14
SGF 2018 An Investigation of the Factors Associated with Opioid Misuse Claire Masson source 6
SGF 2018 Bayesian Networks for Causal Analysis John Amrhein,
Fei Wang		 source 11
SGF 2018 Causal Mediation Analysis with the CAUSALMED Procedure Michael Lamm source 20
SGF 2018 Claim Analytics: A Litigation Prediction Case Study Mei Najim source 18
SGF 2018 Claim Risk Scoring Using Survival Analysis Framework and Machine Learning with Random Forest Yuriy Chechulin source 15
SGF 2018 Credit Score: A Comparison of Gradient Boosting with Logistic Regression in Practical Cases Paulo Di Cellio Dias,
Marc Witarsa		 source 25
SGF 2018 Demystify Income Models with Advanced Machine Learning Techniques for Ultimate Accuracy Vickey Chang source 18
SGF 2018 Do You Need to Put Your Data on a Diet? Howard Plemmons Jr.,
Priya Sharma		 source 7
SGF 2018 Getting More Insight into Your Forecast Errors with the GLMSELECT and QUANTSELECT Procedures Gerhard Svolba source 26
SGF 2018 Getting Started with Survival Analysis Marc Huber source 76
SGF 2018 How Good is That Forecast? The Nuances of Prediction Evaluation Across Time Aric LaBarr source 7
SGF 2018 How to Use Streaming Analytics to Create a Real-Time Digital Twin Bradley W. Klenz source 14
SGF 2018 Insights into Using the GLIMMIX Procedure to Model Categorical Outcomes with Random Effects Kathleen Kiernan source 23
SGF 2018 Location Matters: Evidence from Spatial Econometric Analysis of Opioid Prescription Rates Jonathan Mccopp source 21
SGF 2018 Model Selection Using Information Criteria (Made Easy in SAS ) Wendy Christensen source 12
SGF 2018 Navigating the Analytics Life Cycle with SAS Visual Data Mining and Machine Learning Susan Haller,
Brett Wujek		 source 29
SGF 2018 New Ways to Incorporate Continuous Predictors in Generalized Linear Models Anthony Salis,
Angela Wu,
Gordon Johnston		 source 15
SGF 2018 Retail Product Bundling: A New Approach Bruno Nogueira source 18
SGF 2018 Robust Tuning for Machine Learning Alex Glushkovsky source 22
SGF 2018 SAS Macros for Computing Causal Mediated Effects in Two- and Three-Wave Longitudinal Models David P. MacKinnon,
Matthew Valente		 source 18
SGF 2018 Shorter Waiting Time, Better Emergency Healthcare: Forecasting Stockholms' Emergency Room Visits Martin Nordberg,
Oskar Eriksson		 source 24
SESUG 2017 Backward Variable Selection for Logistic Regression Based on Percentage Change in Odds Ratio Evan Kwiatkowski source 6
SESUG 2017 Binning of Predictors for the Cumulative Logit Model Bruce S. Lund source 20
SESUG 2017 Churn the Data Around - A Machine Learning Approach to Understanding Why Customers Leave Sean Ankenbruck source 9
SESUG 2017 Data Quality Control: Using High Performance Binning to Prevent Information Loss Deanna Naomi Schreiber-Gregory,
Henry M. Jackson		 source 9
SESUG 2017 Exploring JMP Modeling Functionality Using Consumer Expenditure Data Joshua Klick source 12
SESUG 2017 Finding the Gold in Your Data: An Overview of Data Mining David A. Dickey source 25
SESUG 2017 Multicollinearity: What Is It, Why Should We Care, and How Can It Be Controlled? Deanna Naomi Schreiber-Gregory,
Henry M. Jackson		 source 12
SESUG 2017 Propensity Score Methods for Causal Inference with the PSMATCH Procedure Yang Yuan,
Yiu-Fai Yung,
Maura E. Stokes		 source 17
SESUG 2017 SAS In The Classroom: Exploratory Data Analysis with SAS Studio Jonathan W. Duggins source 20
SESUG 2017 Using SAS to Employ Propensity Score Matching in an Institutional Research Office to Create Matched Groups for Outcomes Analyses Bobbie E. Frye,
James E. Bartlett		 source 19
SCSUG 2017 Analysis of the effects of financial parameters on GDP and poverty using panel data analysis. Akshay Arora source 13
SCSUG 2017 Classifying and Predicting Spam Messages Using Text Mining in SAS Enterprise Miner Venkata Kondamudi,
Sai Mounika,
Balamurugan Mohan		 source 14
SCSUG 2017 Prediction of Used Cars? Prices by Using SAS EM Jaideep Muley,
Vijay Kumar Movva		 source 12
SCSUG 2017 Use Machine Learning to Discover Your Rules David R. Duling source 10
PHUSE EU 2017 Health Technology Assessment PRO Least Squares Mean Difference Programming Techniques Using SAS Yirong Cao,
Siory Traoré		 source
presentation source		 11
PHUSE EU 2017 The Model Statistician Insights into Model Selection Techniques in Clinical Trials Peter Williams source
presentation source		 6
MWSUG 2017 Claim Analytics Mei Najim 18
MWSUG 2017 Correcting for Selection Bias in a Clinical Trial Shana Kelly 8
MWSUG 2017 Exploring the Relationship Between Substance Abuse and Dependence Disorders and Discharge Status: Results and Implications Deanna Naomi Schreiber-Gregory 25
WUSS 2017 An Overview of SAS Visual Data Mining and Machine Learning on SAS Viya Radhikha Myneni source 23
WUSS 2017 Analyzing Multiple Membership Hierarchical Data Using PROC GLIMMIX Maria Elsa Vazquez Arreola,
Jeffrey Wilson		 source 7
WUSS 2017 Five Ways to Flip-Flop Your Data Joshua M. Horstman source 10
WUSS 2017 Is My Model the Best? Methods for Exploring Model Fit Deanna Naomi Schreiber-Gregory source 7
WUSS 2017 Modeling Longitudinal and Multilevel Data in SAS Niloofar Ramezani source 8
WUSS 2017 Multicollinearity: What Is It and What Can We Do About It? Deanna Naomi Schreiber-Gregory source 12
WUSS 2017 Propensity Score Methods for Causal Inference with the PSMATCH Procedure Maura E. Stokes source 17
WUSS 2017 Standardized Approaches for Analyzing Quality Improvement Interventions in Healthcare Settings Polina Kukhareva source 20
PharmaSUG 2017 Dear Dave, Please See the .LST File for Our Validation Differences. Thanks, Bad Validation Programmer Tracy Sherman,
David W. Carr,
Brian P. Fairfield-Carter		 source 9
PharmaSUG 2017 Multinomial Logistic Regression Models With Sas Proc Surveylogistic Marina Komaroff source 7
PharmaSUG 2017 Multiple Imputation: A Statistical Programming Story Christopher J. Smith,
Scott Kosten		 source 16
SGF 2017 %SURVEYGENMOD Macro: An Alternative to Deal with Complex Survey Design for the GENMOD Procedure Alan Ricardo da Silva source 28
SGF 2017 A Practical Guide to Getting Started with Propensity Scores Thomas Gant source 10
SGF 2017 A SAS Macro for Covariate Specification in Linear, Logistic, and Survival Regression Sai Liu source
zip		 19
SGF 2017 Advanced Hierarchical Modeling with the MCMC Procedure Fang K. Chen,
Maura E. Stokes		 source 21
SGF 2017 An Investigation into Big Data Analytics Applied to Insurance Rebecca Peters,
Penny Holborn		 source 18
SGF 2017 An Overview of SAS Visual Data Mining and Machine Learning on SAS Viya Jonathan Wexler,
Susan Haller		 source 23
SGF 2017 Analyzing Correlated Data in SAS Niloofar Ramezani source 13
SGF 2017 Analyzing the Effect of Weather on Uber Ridership Anusha Mamillapalli,
Singdha Gutha		 source
pdf		 10
SGF 2017 Analyzing the Effectiveness of COPD Drugs Through Statistical Tests and Sentiment Analysis Indra Kiran Chowdavarapu,
Dursun Delen,
Vivek Manikandan Damodaran		 source 23
SGF 2017 Big Value from Big Data: SAS/ETS Methods for Spatial Econometric Modeling in the Era of Big Data Guohui Wu,
Jan Chvosta		 source 15
SGF 2017 Breaking through the Barriers: Innovative Sampling Techniques for Unstructured Data Analysis Murali Krishna Pagolu source 8
SGF 2017 Building Bayesian Network Classifiers Using the HPBNET Procedure Ye Liu,
Weihua Shi,
Wendy Czika		 source 19
SGF 2017 Construction of a Disease Network and a Prediction Model for Dementia Jinwoo Cho source 14
SGF 2017 Continuous Predictors in Regression Analyses Ruth Croxford source 12
SGF 2017 Estimating Causal Effects from Observational Data with the CAUSALTRT Procedure Michael Lamm,
Yiu-Fai Yung		 source 18
SGF 2017 Examining Higher Education Performance Metrics with SAS Enterprise Miner and SAS Visual Analytics Taylor Blaetz,
Tuesdi Helbig,
Gina Huff,
Matt T. Bogard		 source 15
SGF 2017 Fitting Complex Statistical Models with NLMIXED and MCMC Procedures Robin High source 14
SGF 2017 Fuzzy Matching and Predictive Models for Acquisition of New Customers Daniel Marinescu source 12
SGF 2017 Geospatial Analysis: Linear, Nonlinear, or Both? Kelsey Osterloo,
Angela Wu		 source 14
SGF 2017 Go Ahead and _BREAK_-down: Advanced COMPUTE Block Examples Cynthia L. Zender source
zip		 30
SGF 2017 Hash Objects: When LAGging Behind Just Doesn't Work Andrea Wainwright-Zimmerman source 5
SGF 2017 Interactive Modeling in SAS Visual Analytics Donald R. Chapman,
Jonathan Wexler		 source 16
SGF 2017 Interrupted Time Series Power Calculation using DO Loop Simulations Nigel Rozario,
Andrew McWilliams,
Charity Moore		 source 15
SGF 2017 Methods of Multinomial Classification Using Support Vector Machines Ralph Abbey,
Taiping He,
Tao Wang		 source 20
SGF 2017 Modeling the Merchandise Return Behavior of Anonymous and Non-Anonymous Online Apparel Retail Shoppers Sunny Lam source 20
SGF 2017 Multicollinearity: What Is It, Why Should We Care, and How Can It Be Controlled? Deanna Naomi Schreiber-Gregory source 12
SGF 2017 Outline Outliers: Adding a Business Sense Alex Glushkovsky source 17
SGF 2017 Predictive Models: Storing, Scoring, and Evaluating Matthew Duchnowski source 10
SGF 2017 Pricing a Self-Funded Health Plan by Applying Generalized Linear Models Using SAS Enterprise Guide Luiz Carlos Leao source 20
SGF 2017 PROC LOGISTIC: Using New SAS 9.4 Features for Cumulative Logit Models with Partial Proportional Odds Paul Hilliard source
zip
pdf		 16
SGF 2017 Propensity Score Methods for Causal Inference with the PSMATCH Procedure Yang Yuan source 17
SGF 2017 Property and Casualty Insurance Predictive Analytics in SAS Mei Najim source 17
SGF 2017 Real AdaBoost: Boosting for Credit Scorecards and Similarity to WOE Logistic Regression Paul Edwards source 12
SGF 2017 Red Rover, Red Rover, Send Data Right Over: Exploring External Geographic Data Sources with SAS Louise S. Hadden source 9
SGF 2017 Revenue Score: Forecasting Credit Card Products with Zero Inflated Beta Regression and Gradient Boosting Marc Witarsa,
Paulo Di Cellio Dias		 source 20
SGF 2017 Use Machine Learning to Discover Your Rules David R. Duling source 10
SGF 2017 Using a Dynamic Panel Estimator to Model Change in Panel Data Roberto Gutierrez source 10
SGF 2017 Using a Population Average Model to Investigate the Success of a Customer Retention Strategy Colleen E. McGahan source 19
SGF 2017 Using SAS to Analyze Emergency Department Visits: Medicaid Patients Compared to Other Pay Sources Bradley Casselman,
Taylor K. Larkin,
Denise J. McManus		 source 16
SGF 2017 Using Segmentation to Build More Powerful Models with SAS Visual Analytics Darius S. Baer,
Sam Edgemon		 source 18
SGF 2017 What Statisticians Should Know about Machine Learning David Richard Cutler source 13
SCSUG 2016 How to stop Stephen Curry Wei Gao,
Vrushali Walde		 source 11
SESUG 2016 A Simple SAS Macro to Perform Blinder-Oaxaca Decomposition Taylor Lewis,
Stanislas Ezoua		 source 8
SESUG 2016 Analyzing non-normal data with categorical response variables Niloofar Ramezani,
Allameh Tabataba'i		 source 9
SESUG 2016 Creating Viable SAS Data Sets From Survey Monkey Transport Files John R. Gerlach source 11
SESUG 2016 Factors of Multiple Fatalities in Car Crashes Bill Bentley,
Gina Colaianni,
Kennedy Onzere,
Cheryl Joneckis,
Xuelei (Sherry) Ni		 source 62
SESUG 2016 Formula 1: Analytics behind the tracks to the podium Pallabi Deb,
Piyush Lashkare		 source 8
SESUG 2016 How is Healthcare Cost Data Distributed? Using Proc Univariate to Draw Conclusions about Millions of Different Customers Aran Canes source 8
SESUG 2016 Predicting student success based on interactions with virtual learning environment Vivek Doijode,
Neha Singh		 source 10
SESUG 2016 Text Analysis of American Airline s Customer Reviews Rajesh Tolety source 7
SESUG 2016 Using Regression Splines in SAS STAT Procedures Jonas V. Bilenas,
Nish Herat		 source 19
SESUG 2016 Using SAS Macros to Extract P-values from PROC FREQ Rachel Straney source 7
PHUSE EU 2016 Boosting the Efficiency of Data Review by using SAS Integration Technologies and VBA Giuseppe Di Monaco source
presentation source		 9
PHUSE EU 2016 DIY: Create Your Own SDTM Mapping Framework Bas van Bakel source
presentation source		 11
PHUSE EU 2016 R Beyond Statistics Namrata Deshpande source
presentation source		 12
MWSUG 2016 A Demonstration of Various Models Used in a Key Driver Analysis Steven M. LaLonde 17
MWSUG 2016 A Predictive Logistic Regression Model for Chronic Kidney Disease Jingye Wang 1
MWSUG 2016 An Introduction to the HPFOREST Procedure and its Options Carl Nord,
Jacob Keeley		 12
MWSUG 2016 Analyzing the Effect of Weather on Uber Ridership Snigdha Gutha,
Anusha Mamillapalli		 11
MWSUG 2016 Automating the Process of Generating Publication Quality Regression Tables through SAS Base Programming Ji Qi 16
MWSUG 2016 Fitting Complex Statistical Models with PROCs NLMIXED and MCMC Robin High 16
MWSUG 2016 Fitting Your Favorite Mixed Models with PROC MCMC Fang K. Chen,
Gordon Brown,
Maura E. Stokes		 27
MWSUG 2016 Identifying the factors responsible for loan defaults and classification of customers using SAS Enterprise Miner Juhi Bhargava,
Prashanth Reddy Musuku		 13
MWSUG 2016 Is My Model the Best? Methods for Exploring Model Fit Deanna Naomi Schreiber-Gregory 7
MWSUG 2016 Property and Casualty Insurance Predictive Analytics in SAS Mei Najim 17
MWSUG 2016 Red Rover, Red Rover, Send Data Right Over: Exploring External Geographic Data Sources with SAS Louise S. Hadden 9
MWSUG 2016 Use Multi-Stage Model to Target the Most Valuable Customers Chao Xu,
Jing Ren,
Hongying Yang		 10
MWSUG 2016 Using Animation to Make Statistical Graphics Come to Life Jesse M. Pratt 10
WUSS 2016 Creating Viable SAS Data Sets From Survey Monkey Transport Files John R. Gerlach,
Independent Contractor		 source 11
WUSS 2016 Employing Latent Analyses in Longitudinal Studies: An Exploration of Independently Developed SAS Procedures Deanna Naomi Schreiber-Gregory source 14
WUSS 2016 Fitting Your Favorite Mixed Models with PROC MCMC Fang K. Chen source 27
WUSS 2016 How to analyze correlated and longitudinal data? Niloofar Ramezani source 8
WUSS 2016 How we know an intervention works: Program evaluation by example AnnMaria De Mars source 13
WUSS 2016 Selection Bias: How Can Propensity Score Utilization Help Control For It? Deanna Naomi Schreiber-Gregory source 13
WUSS 2016 Text Analysis of American Airline s Customer Reviews Saurabh Choudhary,
Rajesh Tolety		 source 9
WUSS 2016 The REPORT Procedure: A Primer for the Compute Block Jane Eslinger source 23
PharmaSUG 2016 Latent Structure Analysis Procedures in SAS Deanna Naomi Schreiber-Gregory source 8
PharmaSUG 2016 Mixed Effects Models Yan Wang source 7
PharmaSUG 2016 Programming Support for Exposure-Response Analysis in Oncology Drug Development Peter Lu,
Hong Yan		 source 8
PharmaSUG 2016 Unequalslopes: Making life easier when the proportional odds assumption fails Matthew J. Wiedel source 11
SGF 2016 A Property and Casualty Insurance Predictive Modeling Process in SAS Mei Najim source 14
SGF 2016 A SAS Macro for Generating a Ternary Graph in a Ceramics Industry Process Igor Ferreira do Nascimento,
Zacarias Linhares,
Roberto Arruda Lima Soares		 source 9
SGF 2016 A SAS Macro for Geographically Weighted Negative Binomial Regression Alan Ricardo da Silva,
Thais Rodrigues		 source
zip		 20
SGF 2016 Analysis of Grades for University Students Using Administrative Data and the IRT Procedure Sara Armandi source 13
SGF 2016 Analysis of IMDb Reviews for Movies and Television Series Using SAS Enterprise Miner and SAS Sentiment Analysis Studio Ameya Jadhavar,
Goutam Chakraborty,
Prithvi Raj Sirolikar		 source 17
SGF 2016 Analyzing Non-Normal Binomial and Categorical Response Variables under Varying Data Conditions Niloofar Ramezani source 16
SGF 2016 Application of Data Mining Techniques in Improving Breast Cancer Diagnosis Josephine Akosa source
presentation		 10
SGF 2016 Application of Gradient Boosting through SAS Enterprise Miner to Classify Human Activities Minh Pham,
Mary Ruppert-Stroescu,
Mostakim Tanjil		 source
presentation		 8
SGF 2016 Building a Recommender System with SAS to Improve Cross-Selling for Online Retailers Miao Nie,
Shanshan Cong		 source
zip		 12
SGF 2016 Classifying Fatal Automobile Accidents in the US, 2010-2013: Using SAS Enterprise Miner to Understand and Reduce Fatalities Catherine LaChapelle,
Daniel Brannock,
Aric LaBarr,
Craig Shaver		 source 11
SGF 2016 Correcting the Quasi-complete Separation Issue in Logistic Regression Models Xinghe Lu source 10
SGF 2016 Ensemble Modeling: Recent Advances and Applications Wendy Czika,
Ye Liu		 source 20
SGF 2016 Everyone CAN be a Data Scientist: Using SAS Studio to Create a Custom Task for SAS In-Memory Statistics Stephen Ludlow source 20
SGF 2016 Exploring the Factors That Impact Injury Severity Using Hierarchical Linear Modeling (HLM) Pradeep Bista source 9
SGF 2016 exSPLINE That: Explaining Geographic Variation in Insurance Pricing Carol Frigo,
Kelsey Osterloo		 source 6
SGF 2016 Factors of Multiple Fatalities in Car Crashes Bill Bentley,
Gina Colaianni,
Cheryl Joneckis,
Sherry Ni,
Kennedy Onzere		 source 60
SGF 2016 Fitting Multilevel Hierarchical Mixed Models Using PROC NLMIXED Raghavendra Kurada source 15
SGF 2016 Fitting Your Favorite Mixed Models with PROC MCMC Gordon Brown,
Fang K. Chen,
Maura E. Stokes		 source 27
SGF 2016 Generalized Linear Models for Non-Normal Data Theresa H. Ngo source 5
SGF 2016 How Do My Neighbors Affect Me? SAS/ETS Methods for Spatial Econometric Modeling Guohui Wu,
Jan Chvosta		 source 13
SGF 2016 Improving Performance of Memory-Based Reasoning Model by Using Weight of Evidence Coded Categorical Variables Vinoth Kumar Raja,
Goutam Chakraborty,
Vignesh Dhanabal		 source 6
SGF 2016 Latent Structure Analysis Procedures in SAS Deanna Naomi Schreiber-Gregory source 8
SGF 2016 Lyric Complexity and Song Popularity: Analysis of Lyric Composition and Relation among Billboard Top 100 Songs John Harden,
Yang Gao,
Vojtech Hrdinka,
Chris Linn		 source 15
SGF 2016 Making Better Decisions about Risk Classification Using Decision Trees in SAS Visual Analytics Stephen M. Overton,
Ben Murphy		 source 13
SGF 2016 Outlier Detection Using the Forward Search in SAS/IML Studio Jos Polfliet source
zip		 12
SGF 2016 Predicting Forest Fire Occurrence and Incremental Fire Rate Using SAS 9.4 and SAS Enterprise Miner 14.1 Quyen Nguyen source 12
SGF 2016 Predicting Human Activity Sensor Data Using an Auto Neural Model with Stepwise Logistic Regression Inputs Venkata Vennelakanti source
presentation		 10
SGF 2016 Predicting Rare Events Using Specialized Sampling Techniques in SAS Rhupesh Damodaran Ganesh Kumar,
Kiren Raj Mohan Jagan Mohan		 source 7
SGF 2016 Probability Density for Repeated Events Bruce S. Lund source 16
SGF 2016 PROC GLIMMIX as a Teaching and Planning Tool for Experiment Design Walter W. Stroup source
zip		 19
SGF 2016 Quantitle Regression versus Ordinary Least Squares Regression Ruth Croxford source 10
SGF 2016 Reducing and Screening Redundant Variables in Logistic Regression Models Using SAS/STAT Software and SAS Enterprise Miner Xinghe Lu source 10
SGF 2016 SAS Macro for Generalized Method of Moments Estimation for Longitudinal Data with Time-Dependent Covariates Katherine Cai,
Jeffrey Wilson		 source 9
SGF 2016 SAS Visual Statistics 8.1: The New Self-Service, Easy Analytics Experience Xiangxiang Meng,
Donald R. Chapman,
Cheryl LeSaint		 source 11
SGF 2016 Streaming Decisions: How SAS Puts Streaming Data to Work Fiona McNeill,
David R. Duling,
Steve Sparano		 source
zip		 15
SGF 2016 Survival Analysis of the Patients Diagnosed with Non-Small Cell Lung Cancer Using SAS Enterprise Miner 13.1 Raja Rajeswari Veggalam,
Akansha Gupta,
Goutam Chakraborty		 source 11
SGF 2016 The Use of Statistical Sampling in Auditing Health-Care Insurance Claim Payments Taylor Lewis,
Julie Johnson,
Christine Muha		 source 18
SGF 2016 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Phil Gibbs source 21
SGF 2016 Upgrade from ARIMA to ARIMAX to Improve Forecasting Accuracy of Nonlinear Time-Series: Create Your Own Exogenous Variables Using Wavelet Analysis Woranat Wongdhamma source 16
SGF 2016 Using Animation to Make Statistical Graphics Come to Life Jesse M. Pratt source 10
SGF 2016 Using Propensity Score Analyses to Adjust for Selection Bias: A Study of Adolescent Mental Illness and Substance Use Deanna Naomi Schreiber-Gregory source 7
SCSUG 2015 Using SAS Software to Determine the Mixed Rotterdam Demand Model Parameters and Test Statistical References Maryam Tabarestani,
Hector Zapata		 23
MWSUG 2015 A Property & Casualty Insurance Predictive Modeling Process in SAS Mei Najim 14
MWSUG 2015 A Simple Adjustment for Selection Bias Through Use of Propensity Scoring Deanna Naomi Schreiber-Gregory 24
MWSUG 2015 Get the highest bangs for your marketing bucks using Incremental Response Models in SAS Enterprise Miner Delali Agbenyegah 8
MWSUG 2015 The REPORT Procedure: A Primer for the Compute Block Jane Eslinger 23
MWSUG 2015 Utilizing Propensity Score Analyses to Adjust for Selection Bias: A Study of Adolescent Mental Illness and Substance Use Deanna Naomi Schreiber-Gregory 7
MWSUG 2015 Visualize the Geography of your Business Insights using SAS MAP tools Xingrong (Candice) Zhang 14
SESUG 2015 Alternative Methods of Regression when OLS is Not Right Peter L. Flom source 28
SESUG 2015 Analysis of the Impact of Federal Funds Rate Change on US Treasuries Returns using SAS Svetlana Gavrilova source 31
SESUG 2015 ANOVA_Robust: A SAS Macro for Various Robust Approaches to Testing Mean Differences in One-Factor ANOVA Models Thanh V. Pham,
Eun Sook Kim,
Diep T. Nguyen,
Yan Wang,
Jeffrey D. Kromrey,
Yi-Hsin Chen		 source 14
SESUG 2015 Comparing Results from Cox Proportional Hazards Models using SUDAAN and SAS Survey Procedures to a Logistic Regression Model for Analysis of Influenza Vaccination Coverage Yusheng Zhai,
K. E. Kahn,
A. O'Halloran		 source 13
SESUG 2015 How Latent Structure Analysis Can Improve the Fit of a Regression Model Deanna Naomi Schreiber-Gregory source 11
SESUG 2015 MIXED_RELIABILITY: A SAS Macro for Estimating Lambda and Assessing the Trustworthiness of Random Effects in Multilevel Models Jason A. Schoeneberger,
Bethany A. Bell		 source 10
SESUG 2015 Probability Density for Repeated Events Bruce S. Lund source 16
WUSS 2015 Data Analyses in Multivariate Regression Chii-Dean Joey Lin source 9
WUSS 2015 Exposure-Response Plots Using SAS Janette Garner source 8
WUSS 2015 Generalized Estimating Equations for Depression Dose Regimes Karen Walker source 8
WUSS 2015 Latent Analysis Applications for Regression Models Deanna Naomi Schreiber-Gregory source 11
WUSS 2015 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
PharmaSUG CN 2015 Hands-on Tutorial for Piecewise Linear Mixed-effects Models Using SAS PROC MIXED Qinlei Huang 15
PharmaSUG CN 2015 Why Statistical Analysis Plan (SAP) should be comprehensive. Riddhi Merchant,
Ranjith Prayankotveettil		 6
PharmaSUG 2015 How To Use Latent Analyses Within Survey Data Can Be Valuable Additions to Any Regression Model Deanna Naomi Schreiber-Gregory source 9
PharmaSUG 2015 Medication Adherence in Cardiovascular Disease: Generalized Estimating Equations in SAS Erica Goodrich,
Daniel Sturgeon		 source 8
PharmaSUG 2015 The REPORT Procedure: A Primer for the Compute Block Jane Eslinger source 23
SGF 2015 A Genetic Algorithm for Data Reduction Lisa Henley source
zip		 7
SGF 2015 Addressing AML Regulatory Pressures by Creating Customer Risk Rating Models with Ordinal Logistic Regression Edwin Rivera,
Jim West		 source 12
SGF 2015 Alternative Methods of Regression when OLS is Not Right Peter L. Flom source 19
SGF 2015 An Application of the Cox Proportional Hazards Model to the Construction of Objective Vintages for Credit in Financial Institutions, Using PROC PHREG Iván Darío Atehortua Rojas source
zip		 8
SGF 2015 An Introductory Overview of the Features of Complex Survey Data Taylor Lewis source 22
SGF 2015 An Overview of Econometrics Tools in SAS/ETS: Explaining the Past and Modeling the Future: Mark Little,
Kenneth Sanford		 source 13
SGF 2015 Analysis of Survey Data Using the SAS SURVEY Procedures: A Primer Patricia A. Berglund source 19
SGF 2015 Analyzing Marine Piracy from Structured and Unstructured Data Using SAS Text Miner Raghavender Reddy Byreddy,
Nitish Byri,
Goutam Chakraborty,
Tejeshwar Gurram,
Anvesh Reddy Minukuri		 source 12
SGF 2015 Applied Analytics in Festival Tourism: A Case Study of Intention-to-Revisit Prediction in an Annual Local Food Festival in Thailand Jongsawas Chongwatpol,
Thanathorn Vajirakachorn		 source 13
SGF 2015 Determining the Key Success Factors for Hit Songs in the Billboard Music Charts Piboon Banpotsakun,
Jongsawas Chongwatpol		 source 12
SGF 2015 Double Generalized Linear Models Using SAS: The %DOUBLEGLM Macro Paulo Silva,
Alan Ricardo da Silva		 source
zip		 16
SGF 2015 Entropy-Based Measures of Weight of Evidence and Information Value for Variable Reduction and Segmentation for Continuous Dependent Variables Alec Zhixiao Lin source 27
SGF 2015 Experimental Approaches to Marketing and Pricing Research Max Friedauer,
Jason Greenfield,
Yuhan Jia,
Joseph Thurman		 source 22
SGF 2015 Forecasting Vehicle Sharing Demand Using SAS Forecast Studio Kushal Kathed,
Goutam Chakraborty,
Ayush Priyadarshi		 source 9
SGF 2015 GEN_OMEGA2: A SAS Macro for Computing the Generalized Omega-Squared Effect Size Associated with Analysis of Variance Models Anh P. Kellermann,
Yi-Hsin Chen,
Jeffrey D. Kromrey,
Thanh Pham,
Patrice Rasmussen,
Patricia Rodríguez de Gil,
Jeanine L. Romano		 source 12
SGF 2015 Gross Margin Percent Prediction: Using the Power of SAS Enterprise Miner 12.3 to Predict the Gross Margin Percent for a Steel Manufacturing Company [presentation] Kushal Kathed,
Patti Jordan,
Ayush Priyadarshi		 source 3
SGF 2015 How Latent Analyses within Survey Data Can Be Valuable Additions to Any Regression Model Deanna Naomi Schreiber-Gregory source 9
SGF 2015 How to Implement Two-Phase Regression Analysis to Predict Profitable Revenue Units [presentation] Shrey Tandon source 15
SGF 2015 Improving the Performance of Data Mining Models with Data Preparation Using SAS Enterprise Miner Ricardo Galante source 21
SGF 2015 Improving the Performance of Two-Stage Modeling Using the Association Node of SAS Enterprise Miner 12.3 Girish Shirodkar,
Goutam Chakraborty,
Ankita Chaudhari		 source 9
SGF 2015 Imputing Missing Data using SAS Christopher Yim source 9
SGF 2015 Incorporating External Economic Scenarios into Your CCAR Stress Testing Routines Kenneth Sanford,
Christian Macaro		 source 10
SGF 2015 Introduce a Linear Regression Model by Using the Variable Transformation Method [presentation] Nancy Hu source
zip		 12
SGF 2015 Mapping out SG Procedures and Using PROC SGPLOT for Mapping Frank Poppe source
zip		 14
SGF 2015 Multilevel Models for Categorical Data Using SAS PROC GLIMMIX: The Basics Mihaela Ene,
Bethany A. Bell,
Genine L. Blue,
Elizabeth Leighton		 source 12
SGF 2015 Multinomial Logistic Model for Long-Term Value Bruce S. Lund source 16
SGF 2015 Multiple Ways to Detect Differential Item Functioning in SAS Yan Zhang source 9
SGF 2015 Predicting Readmission of Diabetic Patients Using the High-Performance Support Vector Machine Algorithm of SAS Enterprise Miner 13.1 Hephzibah Munnangi,
Goutam Chakraborty		 source 10
SGF 2015 Predicting Transformer Lifetime Using Survival Analysis and Modeling Risk Associated with Overloaded Transformers Using SAS Enterprise Miner 12.1 Balamurugan Mohan,
Goutam Chakraborty		 source 18
SGF 2015 Random vs. Fixed Effects: Which Technique More Effectively Addresses Selection Bias in Observational Studies Jessica Navratil-Strawn,
Stephen Hartley,
Ronald J. Ozminkowski		 source
zip		 8
SGF 2015 Reversing the IN Operator Can Tongur source 4
SGF 2015 Statistical Analysis of Publicly Released Survey Data with SAS/STAT Software SURVEY Procedures Donna Brogan source 20
SGF 2015 Sums of Squares: The Basics and a Surprise Sheila Barron,
Michelle Mengeling		 source 8
SGF 2015 The %ic_mixed Macro: A SAS Macro to Produce Sorted Information Criteria (AIC and BIC) List for PROC MIXED for Model Selection Qinlei Huang source 16
SGF 2015 The REPORT Procedure: A Primer for the Compute Block Jane Eslinger source 23
SGF 2015 The Spatio-Temporal Impact of Urgent Care Centers on Physician and ER Use Laurel Trantham source 6
SGF 2015 Time Series Modeling and Forecasting--An Application to Stress-Test Banks Ania Supady source 13
SGF 2015 Using SAS Enterprise Miner to Predict Breast Cancer at an Early Stage Gibson Ikoro,
Beatriz de la Iglesia		 source 9
SGF 2015 Using SAS to Combine Regression and Time Series Analysis on U.S. Financial Data to Predict the Economic Downturn Avinash Kalwani,
Nishant Vyas		 source 6
SGF 2015 Using SAS to Deliver Web Content Personalization Using Cloud-Based Clickstream Data and On-premises Customer Data Mahesh Subramanian,
Suneel Grover		 source 24
SGF 2015 Using SAS to Increase Profitability through Cluster Analysis and Simplicity: Follow the Money [presentation] Sherrie Rodriguez source 9
SESUG 2014 %DISCIT Macro: Pre-screening continuous variables for subsequent binary logistic regression analysis through visualization Mohamed S. Anany source 6
SESUG 2014 ANOVA_HOV: A SAS Macro for Testing Homogeneity of Variance in One-Factor ANOVA Models Diep T. Nguyen,
Thanh V. Pham,
Patricia Rodríguez de Gil,
Tyler Hicks,
Yan Wang,
Isaac Y. Li,
Aarti P. Bellara,
Jeanine L. Romano,
Eun Sook Kim,
Harold Holmes,
Yi-Hsin Chen,
Jeffrey D. Kromrey		 source 12
SESUG 2014 Don't be binary! Tales of Non-binary Categorical Regression Charlotte Baker source 6
SESUG 2014 Expanding the Use of Weight of Evidence and Information Value to Continuous Dependent Variables for Variable Reduction and Scorecard Development Alec Zhixiao Lin,
Tung-Ying Hsieh		 23
SESUG 2014 Identifying Superutilizers in the Medicaid Population - A Simple and Powerful technique Aran Canes 7
SESUG 2014 Multilevel Models for Categorical Data Using SAS PROC GLIMMIX: The Basics Mihaela Ene,
Elizabeth A. Leighton,
Genine L. Blue,
Bethany A. Bell		 source 12
SESUG 2014 Overview of Analysis of Covariance (ANCOVA) Using GLM in SAS Abbas S. Tavakoli source 10
SESUG 2014 To foam or not to foam: A survival analysis of the foam head that forms when a soda is poured Kate Phillips source 16
SESUG 2014 Using SAS to Examine Mediator, Direct and Indirect Effects of Isolation and Fear on Social Support Using Baron& Kenny Combined with Bootstrapping Methods Abbas S. Tavakoli,
Sue P. Heiney		 source 12
PHUSE EU 2014 Conjoint Analysis of Treatment Preference Milena Balcerzak source
presentation source		 12
PHUSE EU 2014 NONMEM - A Programmers Point of View Raghu Kishor Koukuntla source
presentation source		 12
MWSUG 2014 Analyzing Collection Effectiveness using Incremental Response Modeling Ryan Burton 7
MWSUG 2014 Common Method Variance Techniques Bradford R. Eichhorn 11
MWSUG 2014 Comparing regression, propensity matching and coarsened exact matching in healthcare observational studies using SAS: An example from the Medical Expenditure Panel Survey (MEPS) Douglas Thompson 16
MWSUG 2014 Five Ways to Flip-Flop Your Data Joshua M. Horstman 9
MWSUG 2014 How To Use Latent Analyses of Survey Data in a Logistic Regression Model Deanna Naomi Schreiber-Gregory 9
MWSUG 2014 Modifying a structural equation model of child dietary intake using the Lagrange Multiplier test in SAS PROC CALIS for MWSUG 2014 Lauren Cook,
Chih-Ping Chou,
Nicole Gatto,
Jaimie N. Davis,
Donna Spruijt-Metz		 9
MWSUG 2014 Understanding Change through Different Methodological Lens Jie Liao 12
MWSUG 2014 Use of Social Media Data to Predict Retail Sales Performance Li Zhang 13
WUSS 2014 Decision Trees as a Predictive Modeling Method Gerry Hobbs source 8
WUSS 2014 Don't Let a Bad Date Ruin Your Day: Dealing with Invalid Dates in SAS Lucheng Shao source 9
WUSS 2014 Fuzzy Bootstrap Matching Dale Harrington source 9
WUSS 2014 Practice Pattern Instrumental Variables for Comparative Effectiveness Carol Conell,
Alexander C. Flint		 source 15
WUSS 2014 Using PROC FACTOR for variable inclusion in PROC SURVEYLOGISTIC: A Case Study Deanna Naomi Schreiber-Gregory source 35
WUSS 2014 Using SAS and the Centers for Disease Control and Prevention 2010 Natality Data to Estimate the Effect Size of Prenatal Visits on Preterm Birth Melissa Borelli source 10
PharmaSUG 2014 %IC_LOGISTIC: A SAS Macro to Produce Sorted Information Criteria (AIC/BIC) List for PROC LOGISTIC for Model Selection Qinlei Huang,
Liang Zhu		 source 12
PharmaSUG 2014 %ME: A SAS Macro to Assess Measurement Equivalence for Patient-Reported Outcome Measures Qinlei Huang source 8
PharmaSUG 2014 A Mental Health and Risk Behavior Analysis of American Youth Using PROC FACTOR and SURVEYLOGISTIC Deanna Naomi Schreiber-Gregory source 23
PharmaSUG 2014 Five Ways to Flip-Flop Your Data Joshua M. Horstman source 9
PharmaSUG 2014 Survival Analysis Approaches and New Developments using SAS Jane Lu,
David Shen		 source 13
PharmaSUG 2014 Swimmer Plot: Tell a Graphical Story of Your Time to Response Data Using PROC SGPLOT Stacey D. Phillips source 12
PharmaSUG 2014 The Association of Morbid Obesity with Mortality and Coronary Revascularization among Patients with Acute Myocardial Infarction Ashwini S Erande,
Shaista Malik		 source 11
PharmaSUG 2014 Using SAS to Calculate and Compare Adjusted Relative Risks, Odds Ratios, and Hazard Ratios Besa Smith,
Tyler C. Smith		 source 23
SGF 2014 A Mental Health and Risk Behavior Analysis of American Youth Using PROC FACTOR and SURVEYLOGISTIC Deanna Naomi Schreiber-Gregory source 23
SGF 2014 A SAS Macro for Complex Sample Data Analysis Using Generalized Linear Models Paulo Henrique Dourado da Silva,
Alan Ricardo da Silva		 source 19
SGF 2014 A SAS Macro to Diagnose Influential Subjects in Longitudinal Studies Grant Schneider,
Randy Tobias		 source
zip		 18
SGF 2014 A Stepwise Algorithm for Generalized Linear Mixed Models Nagaraj Neerchal,
Jorge Morel,
Xuang Huang,
Alain Moluh		 source 11
SGF 2014 Association of Socio-Emotional Factors: Religious Affiliation, Depression to Suicidal Tendency Among Adolescent Girls Sesha Sai Ega,
Chandra Shekar Pulipati,
Venkata Rachapudi		 source 6
SGF 2014 Automatic and Efficient Post-Campaign Analyses By Using SAS Macro Programs Justin Jia,
Amanda Lin		 source 12
SGF 2014 Comparison of Five Analytic Techniques for Two-Group, Pre-Post Repeated Measures Designs Using SAS J. Madison Hyer,
Jennifer L. Waller		 source 8
SGF 2014 Confirmatory Factor Analysis and Structural Equation Modeling of Non-cognitive Assessments Using PROC CALIS Steven L. Holtzman source 11
SGF 2014 Data Coarsening and Data Swapping Algorithms Tom Krenzke,
Katie A. Hubbell,
Mamadou Diallo,
Amita Gopinath,
Sixia Chen		 source 19
SGF 2014 Examples of Logistic Modeling with the SURVEYLOGISTIC Procedure Rob Agnelli source 17
SGF 2014 Five Ways to Flip-Flop Your Data Joshua M. Horstman source 9
SGF 2014 Graphs Useful for Variable Selection in Predictive Modeling Bob Moore source 9
SGF 2014 Healthcare Services Data Distribution, Transformation, and Model Fitting Dawit Mulugeta,
Jason Greenfield,
Tison Bolen,
Lisa Conley		 source 22
SGF 2014 How to Interpret SVD Units in Predictive Models? Murali Krishna Pagolu,
Goutam Chakraborty		 source 10
SGF 2014 Implementing Multiple Comparisons on Pearson Chi-square Test for an RxC Contingency Table in SAS Man Jin,
Binhuan Wang		 source 6
SGF 2014 Internet Gambling Behavioral Markers: Using the Power of SAS Enterprise Miner 12.1 to Predict High-Risk Internet Gamblers Sai Vijay Kishore Movva,
Vandana Reddy,
Goutam Chakraborty		 source 11
SGF 2014 Measures of Fit for Logistic Regression Paul D. Allison source 12
SGF 2014 Modeling Loss Given Default in SAS/STAT Xiao Yao,
Jonathan Crook,
Galina Andreeva		 source 9
SGF 2014 Power and Sample Size for MANOVA and Repeated Measures with the GLMPOWER Procedure John M. Castelloe source 20
SGF 2014 Reevaluating Policy and Claims Analytics: A Case of Corporate Fleet and Non-Fleet Customers in the Automobile Insurance Industry Kittipong Trongsawad,
Jongsawas Chongwatpol		 source 10
SGF 2014 Revealing Human Mobility Behavior and Trips Prediction Based on Mobile Data Records Carlos Andre R. Pinheiro source 14
SGF 2014 SAS for Bayesian Mediation Analysis Miočević Milica,
David P. MacKinnon		 source 11
SGF 2014 Scatter Plot Smoothing Using PROC LOESS and Restricted Cubic Splines Jonas V. Bilenas source 11
SGF 2014 The Role of Customer Response Models in Customer Solicitation Center's Direct Marketing Campaign Arun Mandapaka,
Amit Kushwah,
Goutam Chakraborty		 source 12
SGF 2014 The Soccer Oracle: Predicting Soccer Game Outcomes Using SAS Enterprise Miner [presentation] Vandana Reddy,
Sai Vijay Kishore Movva		 source 3
SGF 2014 The Use of Analytics for Insurance Claim Fraud Detection: A Unique Challenge Roosevelt Mosley,
Nick Kucera		 source 15
SGF 2014 Top Seven Techniques for Creating SAS Web Applications Yogendra Joshi source 20
SGF 2014 Validating Self-Reported Survey Measures Using SAS Sarah Lyons,
Kimberly Kaphingst,
Melody S. Goodman		 source 6
WUSS 2013 A Tutorial on PROC LOGISTIC Arthur X. Li source 19
WUSS 2013 An Algorithm for ARIMA Dynamic Regression Variable Selection Ross Bettinger source 14
WUSS 2013 Automated Forward and Best Subset Selection for Generalized Additive Models using PROC GAM William Garner source 11
WUSS 2013 Decision Trees as a Predictive Modeling Method Gerry Hobbs source 8
WUSS 2013 Dynamic Regression in ARIMA Modeling Ross Bettinger source 11
WUSS 2013 Proper Estimation of Relative Risk Using PROC GENMOD in Population Studies Kechen Zhao source 14
WUSS 2013 The Association of Morbid Obesity with Mortality and Coronary Revascularization among Patients with Acute Myocardial Infarction using ARRAYS, PROC FREQ and PROC LOGISTIC" Ashwini Erande,
Shaista Malik		 source 11
WUSS 2013 Tools for Imputing Missing Data Taylor Lewis source 16
WUSS 2013 Using PROC ARIMA to Model Trends in US Home Prices Ross Bettinger source 13
SESUG 2013 Array Applications in Determining Periodontal Disease Measurement Liang Wei source 10
SESUG 2013 Comparing SAS PROC MI and IVEware Callable Software Bruno Vizcarra,
Amang Sukasih		 source 11
SESUG 2013 Comparisons of SAS Mixed and Fixed Effects Modeling for Observed over Expected Count Outcomes in the Presence of Hierarchical or Clustered Data Rachel E. Patzer source 9
SESUG 2013 Finding the Gold in Your Data: An Overview of Data Mining David A. Dickey source 16
SESUG 2013 Forecasting Enrollment in Higher Education using SAS Forecast Studio Forecasting Enrollment source 5
SESUG 2013 GEN_OMEGA2: A SAS Macro for Computing the Generalized Omega-Squared Effect Size Associated with Analysis of Variance Models Squared Effect Size Associated source 10
SESUG 2013 What Do Your Consumer Habits Say About Your Health? Using Third-Party Data to Predict Individual Health Risk and Costs Satish Garla source 15
PHUSE EU 2013 Are You out of Your Mind? CDISC Mappings Using the Mind Map Tool Niels Both,
Johannes Ulander		 source
presentation source		 5
PHUSE EU 2013 Lexis Expansion - Age-at-Risk Adjustment for Survival Analysis Lai San Hong,
Sarah Lewington		 source 5
PHUSE EU 2013 Using PROC GENMOD to Analyses Ratio to Placebo in Change of Dactylitis Imgard Hollweck source
presentation source		 9
MWSUG 2013 A Tutorial on PROC LOGISTIC Arthur X. Li 19
MWSUG 2013 Adventures in Path Analysis and Preparatory Analysis Brandy R. Sinco,
Phillip L. Chapman		 19
MWSUG 2013 An Analysis of Risk Behavior Trends and Mental Health in American Youth Using PROC SURVEYLOGISTIC Deanna Naomi Schreiber-Gregory 15
MWSUG 2013 Analyzing Continuous Variables from Complex Survey Data Using PROC SURVEYMEANS Taylor Lewis 14
MWSUG 2013 Finding the Gold in Your Data: An Overview of Data Mining David A. Dickey 16
MWSUG 2013 Residential Energy Efficiency and the Principal-Agent Problem Ryan Anderson 11
MWSUG 2013 Statistical Models for Proportional Outcomes Wensui Liu,
Kelly Zhao		 17
NESUG 2013 Analyzing Continuous Variables from Complex Survey Data Using PROC SURVEYMEANS Taylor Lewis 15
NESUG 2013 How to Handle Binomial Proportion with Zero Frequency Tulin Shekar 11
NESUG 2013 Marketing and Granger Causality: Going Beyond Correlation Jonathan Prantner 11
NESUG 2013 Proc SurveyCorr Jessica R. Hampton 7
PharmaSUG 2013 Combining Analysis Results from Multiply Imputed Categorical Data Bohdana Ratitch,
Ilya Lipkovich,
Michael O'Kelly		 source 19
PharmaSUG 2013 SDTM Harmonization in the Absence of CDASH - A Modularized Approach to Domain Programming Annie S. Guo source 12
SGF 2013 A Flexible Method to Apply Multiple Imputation Using SAS/IML Studio Lisa M. Lix,
Xue Yao		 source
pdf		 9
SGF 2013 A Flock of C-Stats, or Efficiently Computing Multiple Statistics for Hundreds of Variables Bruce S. Lund,
Steven Raimi		 source 11
SGF 2013 A SAS Macro for Applying Multiple Imputation to Multilevel Data Stephen Mistler source 8
SGF 2013 A SAS Macro for Computing Pooled Likelihood Ratio Tests with Multiply Imputed Data Stephen Mistler source 10
SGF 2013 Being Continuously Discrete (or Discretely Continuous): Understanding Models with Continuous and Discrete Predictors and Testing Associated Hypotheses David J. Pasta source 19
SGF 2013 Bringing Churn Modeling Straight to the Source: SAS and Teradata In-Database Model Development Jonathan Wexler,
Karl Krycha		 source 9
SGF 2013 Considerations and Techniques for Analyzing Domains of Complex Survey Data Taylor Lewis source 12
SGF 2013 Detecting Cross-Channel Fraud Using SAS Krutharth Kumar Peravalli Venkata Naga,
Srikar Rayabaram		 source 9
SGF 2013 DICHOTOMIZED_D: A SAS Macro for Computing Effect Sizes for Artificially Dichotomized Variables Aarti P. Bellara,
Harold Holmes,
Isaac Y. Li,
Jeanine L. Romano,
Jeffrey D. Kromrey,
Patrice Rasmussen,
Patricia Rodríguez de Gil,
Yi-Hsin Chen		 source 12
SGF 2013 Do Not Let a Bad Date Ruin Your Day Lucheng Shao source 9
SGF 2013 Examining Mediator and Indirect Effects of Loneliness in Social Support on Social Well-Being Using the Baron and Kenny Method and a Bootstrapping Method Abbas S. Tavakoli,
Sue P. Heiney		 source 12
SGF 2013 Extension Node to the Rescue of the Curse of Dimensionality via Weight of Evidence (WOE) Recoding Andrew Cathie,
Goutam Chakraborty,
Satish Garla		 source 9
SGF 2013 Finding the Gold in Your Data: An Overview of Data Mining David A. Dickey source 16
SGF 2013 GEN_ETA2: A SAS Macro for Computing the Generalized Eta-Squared Effect Size Associated with Analysis of Variance Models Anh P. Kellermann,
Jeanine L. Romano,
Jeffrey D. Kromrey,
Patrice Rasmussen,
Patricia Rodríguez de Gil,
Thanh Pham,
Yi-Hsin Chen		 source
pdf		 10
SGF 2013 High Performance Statistical Modeling Bob Rodriguez,
Robert A. Cohen		 source 19
SGF 2013 Missing No More: Using the MCMC Procedure to Model Missing Data Fang K. Chen source 23
SGF 2013 Models for Ordinal Response Data Robin High source 16
SGF 2013 Performance Predictability By Using Social Profile in Online P2P Lending Market Harshal Darade,
Siming Li,
Zhangxi Lin		 source
pdf		 9
SGF 2013 Predicting Women's Department Purchases in a Retail Store By Using the SEMMA Methodology Michael Soto source 12
SGF 2013 Predictive Modeling in Sports Leagues: An Application in the Indian Premier League Goutam Chakraborty,
Pankush Kalgotra,
Ramesh Sharda		 source 10
SGF 2013 Regression of NASCAR: Looking into Five Years of Jimmie Johnson Alex Herrington,
Liuchun Yang,
Yun Gao		 source 20
SGF 2013 Smarter Grid Operations with SAS/OR Arnie de Castro,
Greg Link		 source 12
SGF 2013 The Value of Neighborhood Information in Prospect Selection Models: Investigating the Optimal Level of Granularity Dirk Van den Poel,
Philippe Baecke		 source 15
SGF 2013 Using Data Mining in Forecasting Problems Chip Wells,
Justin Kauhl,
Timothy Rey		 source 17
SGF 2013 Using the Boosting Technique to Improve the Predictive Power of a Credit Risk Model Alejandro Correa Bahnsen,
Andres F. Gonzalez,
Darwin A. Amezquita		 source 7
SGF 2013 Variance Partition: My Mission and Ambition Come to Fruition Brenda Beaty,
L. Miriam Dickinson		 source 8
SGF 2013 What Do Your Consumer Habits Say About Your Health? Using Third-Party Data to Predict Individual Health Risk and Costs Albert Hopping,
Rick Monaco,
Sarah Rittman,
Satish Garla		 source 15
NESUG 2012 Efficiently Screening Predictor Variables for Logistic Models Steven Raimi,
Bruce S. Lund		 13
NESUG 2012 Generalized Additive Models in Marketing Mix Modeling Revisited Patralekha Bhattacharya 9
NESUG 2012 Introducing the FMM Procedure for Finite Mixture Models Maura E. Stokes 22
NESUG 2012 K-Nearest Neighbor Classification and Regression in SAS Liang Xie 16
NESUG 2012 Profiling Consumer Price Index Formulas Joshua Klick 6
NESUG 2012 Scatter Plot Smoothing Using PROC LOESS and Restricted Cubic Splines Jonas V. Bilenas 12
NESUG 2012 Target Trained Transformations for Predictive Modeling Talbot M. Katz 9
NESUG 2012 Using SAS to Test, Probe and Display Interaction Effects in Regression Timothy Gravelle 16
SCSUG 2012 Overlaying Scatter Plots on Box Plots in the Presence of Ties Charles Minard source 11
PHUSE EU 2012 The Logic and Logistics of Logistic Regression, Including New Features in SAS 9.2 Lawrence Rasouliyan source
presentation source		 16
SESUG 2012 A SAS macro to compute effect size (Cohen's d) and its confidence interval from raw survey data Rajendra P source 12
SESUG 2012 Fitting Bayesian hierarchical multinomial logit models in PROC MCMC Fitting Bayesian source 8
SESUG 2012 K-Nearest Neighbor Classification and Regression using SAS Liang Xie source 16
SESUG 2012 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
SESUG 2012 SAS macro to obtain reference values based on estimation of the lower and upper percentiles via quantile regression Neeta Shenvi,
Amita Manatunga		 source 9
SESUG 2012 Spatial Analysis of Gastric Cancer in Costa Rica using SAS Software So Young Park,
Marcela Alfaro-Cordoba		 source 8
SESUG 2012 The Keouk County CAFO Study: A Complementary Analysis Using Classification Trees in SAS Enterprise Miner Leonard Gordon source 8
SESUG 2012 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Kathleen Kiernan,
Jill Tao,
Phil Gibbs		 source 18
MWSUG 2012 An Analysis of Diabetes Risk Factors Using Data Mining Approach Akkarapol Sa-ngasoongsong,
Jongsawas Chongwatpol		 11
MWSUG 2012 Collapsing Levels of Predictor Variables for Logistic Regression and Weight of Evidence Coding Bruce S. Lund,
Steven Raimi		 13
MWSUG 2012 Methods for Interaction Detection in Predictive Modeling Using SAS Douglas Thompson 13
MWSUG 2012 Modeling Complex Survey Data Taylor Lewis 16
MWSUG 2012 Models for Ordinal Response Data Robin High 11
MWSUG 2012 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Kathleen Kiernan,
Jill Tao,
Phil Gibbs		 18
WUSS 2012 Analysis of Dietary Patterns over Freshman Year of College Chelsea Lofland source 8
WUSS 2012 Basic Statistics with SAS Enterprise Guide: For Learners and Teachers and Everyone Else AnnMaria De Mars,
Chelsea Heaven		 source 20
WUSS 2012 Being Continuously Discrete (or Discretely Continuous): Understanding Models with Continuous and Discrete Predictors and Testing Associated Hypotheses David J. Pasta source 19
WUSS 2012 How Do Child Support Order Amounts Affect Payments and Compliance? Mark Takayesu source 12
WUSS 2012 Sample Size Calculation and Power Analysis for Design of Experiments Using Proc Glmpower Chii Dean source 10
WUSS 2012 The Steps to Follow in a Multiple Regression Analysis Theresa H. Ngo source 12
WUSS 2012 Weighting Adjustment Methods for Nonresponse in Surveys Taylor Lewis source 15
PharmaSUG 2012 Algorithm to Compare the Slopes (Regression Coefficients) between the subgroups in Simple/Multiple Regression using PROC REG Sandeep Sawant source 3
PharmaSUG 2012 Waterfall Charts in Oncology Trials - Ride the Wave Niraj J. Pandya source 8
SGF 2012 A SAS Macro for Computing Point Estimates and Confidence Intervals of Effect Sizes Associated with Mediation Analysis Merlande Petit-Bois,
Thanh V. Pham,
Eun Kyeng Baek,
Jeffrey D. Kromrey		 source 12
SGF 2012 An Experimental Comparison of Classification Techniques for Imbalanced Credit Scoring Data Sets Using SAS Enterprise Miner Iain L. Brown source 14
SGF 2012 Beyond Binary Outcomes: PROC LOGISTIC to Model Ordinal and Nominal Dependent Variables Eric P. Elkin source 8
SGF 2012 Black Box PROCs: PROC LOGISTIC Discovered Isabel H. Perry source 7
SGF 2012 Constructing a Credit Risk Scorecard Using Predictive Clusters Andres F. Gonzalez,
Alejandro Correa Bahnsen,
Ana C. Nieto,
Darwin A. Amezquita		 source 13
SGF 2012 CSI: Customer Segmentation Intelligence for Increasing Profits Darius S. Baer source 13
SGF 2012 Developing a Predictive Model for Customer Trip Purpose to Be Integrated into Enterprise Strategy and Analytics Jonathan Levine source 16
SGF 2012 Finding the Winning Combination: An Application of Multivariate Testing from Digital Marketing Robert Krutsick source 8
SGF 2012 Handling Missing Data by Maximum Likelihood Paul D. Allison source 21
SGF 2012 Including the Salesperson Effect in Purchasing Behavior Models Using PROC GLIMMIX Philippe Baecke,
Dirk Van den Poel		 source 11
SGF 2012 Inflated Beta Regression: Zero, One, and Everything in Between Christopher J. Swearingen,
Maria S. Melguizo,
Zoran Bursac		 source 11
SGF 2012 Introducing the FMM Procedure for Finite Mixture Models David Kessler,
Allen McDowell		 source 22
SGF 2012 Introduction to Predictive Modeling with Examples David A. Dickey source 14
SGF 2012 Kass Adjustments in Decision Trees on Binary/Interval Target Manoj K. Immadi source 9
SGF 2012 MV_META: A SAS Macro for Multivariate Meta-Analysis Julie A. Gloudemans,
Corina M. Owens,
Jeffrey D. Kromrey		 source 15
SGF 2012 Propensity Score Analysis and Assessment of Propensity Score Approaches Using SAS Procedures Rheta E. Lanehart,
Patricia Rodríguez de Gil,
Eun Sook Kim,
Aarti P. Bellara,
Jeffrey D. Kromrey,
Reginald Lee		 source 11
SGF 2012 The Steps to Follow in a Multiple Regression Analysis Theresa H. Ngo source 12
SGF 2012 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Kathleen Kiernan,
Jill Tao,
Phil Gibbs		 source 18
SGF 2012 Transforming Variables for Normality and Linearity - When, How, Why and Why Not's Steven M. LaLonde source 8
SGF 2012 Use of Cutoff and SAS Code Nodes in SAS Enterprise Miner to Determine Appropriate Probability Cutoff Point for Decision Making with Binary Target Models Yogen Shah source 6
SGF 2012 Using PROC GAM to Forecast Claims Reserves in the Runoff Triangles Ling Huang source 7
SGF 2012 Using SAS to Extend Logistic Regression Dachao Liu source 8
SGF 2012 Your Survival Guide to Using Time-Dependent Covariates Melissa E. Bagnell,
Teresa M. Powell		 source 10
SCSUG 2011 An Introductory Look at the Situational Context Inherent in the RBI Using Two Modeling Approaches Ryan Sides source 14
SCSUG 2011 Kass Adjustments in Decision Trees on Binary/Interval Target Variable Manoj Immadi source 10
SCSUG 2011 Prediction on Diabetes Using Data Mining Approach Pardha Repalli source 10
SCSUG 2011 Statistical comparison of relative proportions of bacterial genetic sequences Jose F Garcia-Mazcorro source 19
SCSUG 2011 Use of Cutoff and SAS Code node in SAS Enterprise Miner to determine appropriate probability cutoff point for decision making with binary target models Yogen Shah source 7
SCSUG 2011 Using Proc Logistic, SAS Macros and ODS Output to evaluate the consistency of independent variables during the development of logistic regression models. An example from the retail banking industry Alexandros Vidras source 9
SCSUG 2011 When It's Not Random Chance: Creating Propensity Scores Using SAS EG Josie Brunner source 13
SCSUG 2011 You Can't Get There From Here If You Don't Know Where Here Is. Improving the SAS Enterprise Guide Data Characterization Task Patricia Hettinger source 16
SESUG 2011 Acknowledging the Unknown: A SAS Macro for Investigating Omitted Variable Bias in Two-Level Linear Models Jason A. Schoeneberger,
Bethany A. Bell,
Jeffrey D. Kromrey		 source 16
SESUG 2011 Analysis of a Binary Outcome Variable Using the FREQ and LOGISTIC Procedures Arthur X. Li source 18
SESUG 2011 CI_MEDIATE: A SAS Macro for Computing Point and Interval Estimates of Effect Sizes Associated with Mediation Analysis Thanh V. Pham,
Eun Kyeng Baek,
Merlande Petit-Bois,
Jeffrey D. Kromrey		 source 10
SESUG 2011 Eyes on the Road: A Methodology for Analyzing Complex Eye-Tracking Data Eye Tracking source 11
SESUG 2011 MV_META: A SAS Macro for Multivariate Meta-Analysis Julie A. Gloudemans source 12
SESUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Fang K. Chen		 source 20
SESUG 2011 Tailoring Logistic Regression Model Analyses with the ODDSRATIO Statement in PROC LOGISTIC Taylor Lewis source 8
WUSS 2011 An Introduction to the Analysis of Rare Events Nathaniel Derby source 19
WUSS 2011 Assessing resource adequacy uncertainty in California electricity summer demand using the MCMC procedure in SAS Enterprise MinerTM Miguel Garcia-Cerrutti source 12
WUSS 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes source 20
WUSS 2011 Principal Component Regression as a Countermeasure against Collinearity Chong Ho Yu source 7
WUSS 2011 Using affinity Models for Buyer Behaviors Matthias Kehder source 2
PHUSE EU 2011 Ensuring Compliant and Consistent Data Mappings for SDTM-based Studies - an ICON Approach Jennie McGuirk,
Steven Thacker		 source
presentation source		 16
MWSUG 2011 A Macro to Estimate Sample-size Using the Non-Centrality Parameter of a Non-Central F-Distribution Matthew C. Fenchel,
Raouf S. Amin,
Rhonda D. VanDyke		 20
MWSUG 2011 An Introduction to the Analysis of Rare Events Nathaniel Derby 19
MWSUG 2011 Before Logistic Modeling - A Toolkit for Identifying and Transforming Relevant Predictors Steven Raimi,
Bruce S. Lund		 18
MWSUG 2011 Estimating Design Effects for Means, Proportions and Totals from Complex Sample Survey Data Using SAS Proc Surveymeans Trent D. Buskirk 13
MWSUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Fang K. Chen,
Ying So		 20
MWSUG 2011 PROC NLMIXED for Basic Non-Linear Regression Keith Dunnigan 12
MWSUG 2011 SAS Model Selection Macros for Complex Survey Data Using PROC SURVEYLOGISTIC/SURVEYREG Fang Wang,
Hee-Choon Shin		 27
MWSUG 2011 Using SAS to Create Sales Expectations for Everyday and Seasonal Products Lory Ellebracht,
Jamie Netherton,
Casey Gentry		 10
MWSUG 2011 Using SAS to Extend Logistic Regression Dachao Liu 8
MWSUG 2011 Using SAS to Find the Best K for K-Nearest-Neighbor Classification Charlie Huang 14
NESUG 2011 A Comparison of PDLREG and GAM Procedures in Measuring Dynamic Effects Patralekha Bhattacharya 11
NESUG 2011 Combining the Results from Multiple SAS PROCs into a Publication Quality Table Robert Kabacoff 20
NESUG 2011 Confirmatory Factor Analysis and Structural Ehuation Modeling of Non-cognitive Assessments Using PROC CALIS Steven L. Holtzman,
Sailesh Vezzu		 9
NESUG 2011 Feature Selection and Dimension Reduction Techniques in SAS Sassoon Kosian,
Varun Aggarwal		 6
NESUG 2011 How to Increase Sales of Orthopedic Equipment in United States: Factor and Cluster Analysis Using SAS and R George Obsekov 15
NESUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes 20
NESUG 2011 SAS Macro for Nonparametric Residual Bootstrap Multilevel Modeling Jichuan Wang,
Peichang Shi,
Avital Cnaan		 6
NESUG 2011 Waterfall Charts: Play the Mario with Your Data Niraj J. Pandya,
Sapan Raval		 7
PharmaSUG 2011 Adjusting Analyses of Survey Results using a Predicted Probability of Response Rob Gately source 12
PharmaSUG 2011 Ensuring Consistent Data Mapping Across SDTM-based Studies - a Data Warehouse Approach Annie S. Guo source 12
PharmaSUG 2011 Implementation of Pairwise Fitting Technique for Analyzing Multivariate Longitudinal Data in SAS Madan G. Kundu source 12
PharmaSUG 2011 Implementation of Pattern-Mixture Models Using Standard SAS/STAT Procedures Bohdana Ratitch,
Michael O'Kelly		 source 10
SGF 2011 An Introduction to Survival Analysis Using Complex Sample Survey Data Patricia A. Berglund source 20
SGF 2011 Bivariate Count Data Regression Models: A SAS Macro Program Nan-Ting Chou,
David Steenhard		 source 10
SGF 2011 Bump Hunting With SAS: A Macro Approach to Employing PRIM Jennifer Sniadecki source 9
SGF 2011 Comparison of Imputation Methods to Examine Mediator Effect for Social Support of Mothers of Mentally Ill Children Abbas S. Tavakoli,
Kathleen Scharer,
James Hussey		 source 7
SGF 2011 Hear the Competition Running, See the Opportunities Ahead, and Run Faster: How Aeroplan Canada Turned a Threat into a Winning Proposition Michel Girard source 5
SGF 2011 Improving Customer Loyalty Program through Text Mining of Customers Comments Maheshwar R. Nareddy,
Goutam Chakraborty		 source 8
SGF 2011 Increasing Efficiency in Optimization Robbie Reynolds,
Angela Williams		 source 5
SGF 2011 Logit Models in Practice: B, C, E, G, M, N, O, ... Joseph C. Gardiner,
Zhehui Luo		 source 20
SGF 2011 Modeling Percentage Outcomes: The %Beta_Regression Macro Christopher J. Swearingen,
Maria S. Melguizo,
Zoran Bursac		 source 12
SGF 2011 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
SGF 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Robert N. Rodriguez,
Funda Güneş		 source 20
SGF 2011 Predictive Analysis of Auto Insurance Purchasing Behavior on the Internet Roosevelt Mosley source 15
SGF 2011 PROC PANEL Vs. A FAST ALGORITHM FOR ESTIMATION OF UNBALANCED PANEL DATA MODELS WITH TWO FIXED EFFECTS Alan Ricardo da Silva,
Mariana Fernandes Teixeira,
Thaís Helena Fernandes Teixeira		 source 12
SGF 2011 Race/Ethnic Differences in Carotid Stiffness and Diameter Using PROC GLM Matthew S. Markert source 10
SGF 2011 Rasch Model and Beyond with PROC GLIMMIX: A Better Choice Teck Kiang Tan,
Wenshu Luo,
David Hogan		 source 12
SGF 2011 Ratemaking Using SAS Enterprise Miner: An Application Study Billie Anderson source 20
SGF 2011 Regression Model Development for Credit Card Exposure at Default (EAD) Using SAS/STAT and SAS Enterprise Miner 5.3 Iain L. Brown source 11
SGF 2011 Repeated Measures Analysis of Correlated Data with Multiple Responses Using SAS Anbuchelvi Jeyabslasingham,
Anpalaki J. Ragavan		 source 10
SGF 2011 The Anti-Curse: Creating an Extension to SAS Enterprise Miner Using PROC ARBORETUM Andrew S. Cathie source 11
SGF 2011 Those Confounded Interactions: Building and Interpreting a Model with Many Potential Confounders and Interactions David J. Pasta source 13
SGF 2011 To Hash or Not To Hash! That Is the Question!! When it Comes to SQL!!! Mustaq Ahmad source 12
SGF 2011 Using a JMP Add-In with SAS to Evaluate the Measurement Process: Going Beyond the Traditional Gage R&R Jose G. Ramirez,
Jon T. Weisz		 source 11
NESUG 2010 A Benchmarking Technique to Identify Best Practices in SAS Tony Pisegna 14
NESUG 2010 An Animated Guide: An introduction to Poisson Regression Russell M. Lavery 17
NESUG 2010 An Exercise Using PROC SURVEYREG and NYC HANES: Examining Social Support as a Predictor of Body Mass Index in New York City Jackie Lee 6
NESUG 2010 Simulating Time Series Analysis Using SAS, Part III: Error Correction Model (ECM) Ismail E. Mohamed 7
NESUG 2010 The Next Generation: SAS/STAT 9.22 Maura E. Stokes,
Robert N. Rodriguez,
Robert Cohen		 20
NESUG 2010 The Quest for Causation: An Introduction to Correlation and Regression Analysis Ian Stockwell 9
SCSUG 2010 Data Visualization Using SAS/Graph Keith Cranford source 12
WUSS 2010 An Introduction to Statistical Tests for the SAS Programmer Sara Beck source 10
WUSS 2010 Answering Your Research Questions with Descriptive Statistics Diana D. Suhr source 7
WUSS 2010 Answering Your Research Questions with Inferential Statistics Diana D. Suhr source 10
WUSS 2010 Decision Trees as a Predictive Modeling Method Gerry Hobbs source 7
WUSS 2010 Planned Contrasts and Post Hoc Tests in MANOVA Made Easy Chii-Dean Joey Lin source 8
WUSS 2010 The Next Generation: SAS/STAT 9.22 Robert N. Rodriguez source 20
WUSS 2010 Those Confounded Interactions: Building and Interpreting a Model with Many Potential Confounders and Interactions David J. Pasta source 9
PHUSE EU 2010 Assesment of Cox Proportional Hazard Model Adequacy Using PROC PHREG and PROC GPLOT Jadwiga Borucka source
presentation source		 13
PHUSE EU 2010 Useful Tips for Analysis of Variance (ANOVA) in Multicentre, Placebo Controlled Clinical Trials Joanna Romaniuk source
presentation source		 12
MWSUG 2010 Adequacy and Information Values: Two Tools for Ranking Predictors in Generalized Linear Models Douglas Thompson 21
MWSUG 2010 Evaluation of Methods to Determine Optimal Cut Points for Predicting Mortgage Default Valentin Todorov,
Douglas Thompson		 11
MWSUG 2010 Integrating Multiple SAS/GRAPH Procedures to Generate a Custom Image Joshua M. Horstman 7
MWSUG 2010 Novel Use of SAS Software in Industrial and Biomedical Consulting, Research, and Teaching Timothy E. O'Brien 13
MWSUG 2010 PROC LIFEREG or PROC PHREG Dachao Liu 9
MWSUG 2010 PROC MIXED: Underlying Ideas with Examples David A. Dickey 19
MWSUG 2010 The Next Generation: SAS/STAT 9.22 Maura E. Stokes 20
MWSUG 2010 Using SAS to Assess and Model Time-to-Event Data with Non-Proportional Hazards Michael G. Wilson 24
SESUG 2010 %SBSBOXPLOT: A SAS Macro for Generating Side-by-Side Boxplots Jason A. Schoeneberger,
Grant B. Morgan,
Bethany A. Bell		 source 16
SESUG 2010 Bars and Lines: A Quick Introduction To PROC GBARLINE Garland D. Maddox Jr. source 6
SESUG 2010 ES_ANOVA: A SAS Macro for Computing Point and Interval Estimates of Effect Sizes Associated with Analysis of Variance Models Jeffrey D. Kromrey,
Bethany A. Bell		 source 10
SESUG 2010 Fitting multivariate random-effects models using SAS PROC GLIMMIX Lei Li,
Namasivavayam Ambalavanan,
Abhik Das		 source 8
SGF 2010 Custom Designs Using JMP Design of Experiments and SAS PROC OPTEX Mei-Fen Yeh,
Anthony Cece,
Mark A. Presser		 source 9
SGF 2010 Everything in Its Place: Efficient Geostatistical Analysis with SAS/STAT Spatial Procedures Alexander Kolovos source 18
SGF 2010 Fundamental Diagnostics for Two-Level Mixed Models: The SAS Macro MIXED_DX Bethany A. Bell,
Jason A. Schoeneberger,
Grant B. Morgan,
Jeffrey D. Kromrey,
John M. Ferron		 source 12
SGF 2010 Getting Correct Results from PROC REG Nathaniel Derby source 14
SGF 2010 Introducing PROC PLM and Postfitting Analyses in Very General Linear Models Randy Tobias,
Weijie Cai		 source 18
SGF 2010 Practicalities of Using ESTIMATE and CONTRAST Statements David J. Pasta source 20
SGF 2010 Rapid Predictive Modeling for Customer Intelligence Wayne Thompson,
David R. Duling		 source 12
SGF 2010 SAS for Green Energy Solutions in Smart Electric Grid Systems Farhad Islam source 10
SGF 2010 The Power of the Group Processing Facility in SAS Enterprise Miner Sascha Schubert source 13
SGF 2010 Using Recycled Predictions for Computing Marginal Effects Zhongmin Li,
Geeta Mahendra		 source 10
SGF 2010 Using the NLMIXED Procedure to Fit Linear and Nonlinear Growth Curve Models Mo Zheng source 6
SGF 2010 Using the SAS System and SAS Enterprise Miner for Data Mining: A Study of Cancer Survival at the Mayo Clinic Leonard Gordon source 6
SESUG 2009 Customer Retention Predictive Modeling in HealthCare Insurance Industry Jin Su,
Kimberly Cooper,
Tina Robinson,
Brad Jordan		 source 8
SESUG 2009 Developing Business Failure Prediction Models Using SAS Software Oki Kim source 10
SESUG 2009 Getting Correct Results from PROC REG Nathaniel Derby source 14
SESUG 2009 Multiple Imputation for Survey Data Analysis Yeats Ye source 7
SESUG 2009 Streamlining Data Analysis Edzard van Santen source 4
SESUG 2009 Using SAS to Explain Mediator and Moderator Effect for Social Support of Mothers of Mentally Ill Children Abbas S. Tavakoli source 13
MWSUG 2009 A Class of Predictive Models for Multi-Level Risks Wensui Liu,
Chuck Vu,
Sandeep Kharidhi		 13
MWSUG 2009 A Comparison of Decision Tree and Logistic Regression Model Xianzhe Chen 10
MWSUG 2009 Analysis of Metabolic Disorder - Gout Sireesha Ramoju 30
MWSUG 2009 Demonstration of Organic Growth Modeling for B to B Marketing Karen Ziton 15
MWSUG 2009 Getting Correct Results from PROC REG Nathaniel Derby 14
MWSUG 2009 Predictive Modeling in Enterprise Miner Versus Regression Patricia B. Cerrito 27
PNWSUG 2009 Building Multiple Linear Regression Models - Food for Thought Colleen E. McGahan,
Mei Chong		 11
PNWSUG 2009 Getting Correct Results from PROC REG Nathaniel Derby 14
PNWSUG 2009 Parameter-Driven Data Validation and Transformation Or The Marriage of Microsoft Excel and SAS Macro Variables to Solve ETL Problems Hugh Shinn,
Wanda Hopkins		 17
WUSS 2009 A Beginner's Example of PROC MIXED for the Analysis of Letter Identification Using Reaction Time Sarah R. Greene source 4
WUSS 2009 Developing Business Failure Prediction Models Using SAS Software Oki Kim source 10
WUSS 2009 Getting Correct Results from PROC REG Nathaniel Derby source 14
WUSS 2009 Optimal Model Selection By a Genetic Algorithm Using SAS Jerry Tsai source 13
WUSS 2009 Trend Analyses of Health Indicator and Risky Health Behavior Variables in Nevada George C. J. Fernandez,
Moses Anabila		 source 9
WUSS 2009 Using PROC LOGISTIC to Estimate Willingness to Pay for Fresh Produce Mikael Peterson source 4
WUSS 2009 Using Recycled Predictions for Estimating Marginal Effects Geeta Mahendra,
Zhongmin Li		 source 9
PharmaSUG 2009 Adhoc Analysis of Site By Treatment Interaction Alan Davis 9
PharmaSUG 2009 Clinical Trial Reporting Using SAS/GRAPH SG Procedures Susan L. Schwartz 21
PharmaSUG 2009 Illustrative Logistic Regression Examples using PROC LOGISTIC: New Features in SAS/STAT 9.2 Robert G. Downer,
Patrick J. Richardson		 11
PharmaSUG 2009 The Existence of Maximum Likelihood Estimates for the Logistic Regression Model William F. McCarthy,
Nan Guo		 12
SGF 2009 %QLS SAS Macro: A SAS Macro for Analysis of Longitudinal Data Using Quasi-Least Squares Hanjoo Kim,
Justine Shults		 source 12
SGF 2009 A Class of Predictive Models for Multi-Level Risks Wensui Liu,
Chuck Vu,
Sandeep Kharidhi		 source 13
SGF 2009 A Flexible Count Data Regression Model Using SAS PROC NLMIXED Nan-Ting Chou,
David Steenhard		 source 14
SGF 2009 Bayesian Modeling Using the MCMC Procedure Fang K. Chen source 22
SGF 2009 Clinical Trial Reporting Using SAS/GRAPH SG Procedures Susan L. Schwartz source 21
SGF 2009 Comparison of Features and Applications of Four Linear Models Procedures Larry W. Douglass source 19
SGF 2009 Generalizations of Generalized Additive Model (GAM): A Case of Credit Risk Modeling Wensui Liu,
Jimmy Cela,
Chuck Vu		 source 14
SGF 2009 Learning When To Be Discrete: Continuous vs. Categorical Predictors David J. Pasta source 10
SGF 2009 The Problem of Regression Assumptions and the Use of Predictive Modeling Patricia B. Cerrito source 20
SGF 2009 Using GEE to Model Student's Satisfaction: A SAS Macro Approach Teck Kiang Tan,
Trivina Kang,
David Hogan		 source 12
SGF 2009 Using PROC SGPLOT for Quick, High-Quality Graphs Lora D. Delwiche,
Susan J. Slaughter		 source 17
WUSS 2008 Comparing efficiency of cross validated partial least squares regression and ridge regression models in predicting spatial variability of total nitrogen concentration in Truckee River, Nevada. Anpalaki J. Ragavan source 13
WUSS 2008 Moving from Listing Reports to Visual Reports using SAS/GRAPH Maps Elizabeth Ceranowski source 20
WUSS 2008 Using PROC SGPLOT for Quick, High-Quality Graphs Lora D. Delwiche,
Susan J. Slaughter		 source 16
WUSS 2008 Using Propensity Scores To Adjust For Treatment Selection Bias R. Scott Leslie source 7
SESUG 2008 A macro for nearest neighbor imputation Lung-Chang Chien source 6
SESUG 2008 Count Regression Models in SAS David Steenhard,
Nan-Ting Chou		 source 12
SESUG 2008 Lithium Battery Analysis: Probability of Failure Assessment Using Logistic Regression Travis A. Moebes source 9
SESUG 2008 Marketing Mix Modeling: Techniques and Challenges Patralekha Bhattacharya source 6
SESUG 2008 Moving from Listing Reports to Visual Reports using SAS/GRAPH Maps Elizabeth Ceranowski source 20
SESUG 2008 Parameter-Driven Data Validation and Transformation Or The Marriage of Microsoft Excel and SAS Macro Variables to Solve ETL Problems Hugh Shinn,
Wanda Hopkins		 source 17
SESUG 2008 SAS Code for Variable Selection in Multiple Linear Regression Models Using Information Criteria Methods with Explicit Enumeration for a Large Number of Independent Regressors Dennis J. Beal,
Oak Ridge		 source 9
SESUG 2008 SAS Hash Objects: An Efficient Table Look-Up in the Decision Tree Ying Liu source 15
SESUG 2008 Techniques for Evidence-Based Decision Making Using SAS Ian Stockwell source 8
PHUSE EU 2008 A Collection of SAS Macros to Calculate Odds Ratios using Spline Regression Martin Gregory source 9
PHUSE EU 2008 Statistics for Non-Statisticians Shambhavi Nayak source 10
MWSUG 2008 Inverse Prediction Using SAS Software: A Clinical Application Jayawant N. Mandrekar,
Cristine Allmer		 7
MWSUG 2008 Long-Term Value Modeling in the Automobile Industry Jeff Ames,
Cathy Hackett,
Bruce S. Lund		 6
MWSUG 2008 The Difference Between Predictive Modeling and Regression Patricia B. Cerrito 19
MWSUG 2008 The Effective Billet Heating Method for Ultimate Seamless Tube Size Control Nathan Abboud,
Michael Seifert		 5
MWSUG 2008 Using Direct Standardization SAS Macro for a Valid Comparison in Observational Studies Daojun Mo,
Xia Li,
Alan Zimmermann		 11
NESUG 2008 Extending the Power of SAS with Java Joseph Belice,
Kevin C. Harper,
Steven Schwartz		 20
NESUG 2008 Fitting Generalized Additive Models with the GAM Procedure in SAS 9.2 Weijie Cai 14
NESUG 2008 SAS Program for Bivariate Growth Curve with Kalman Filter Amy E. Begley,
Qianyu Dang,
Patricia R. Houck,
Sati Mazumdar		 6
PharmaSUG 2008 Automated SAS Macro for Adverse Event Logistic Regression Analysis Suhas R. Sanjee 8
PharmaSUG 2008 Benefits of Using Bridging Metadata Doug Janssen 4
PharmaSUG 2008 The Logic and Logistics of Logistic Regression Lawrence Rasouliyan,
Dave P. Miller		 14
PharmaSUG 2008 The Use of Propensity Scores and Instrumental Variable Methods to Adjust For Treatment Selection Bias R. Scott Leslie 8
PharmaSUG 2008 TPHREG and GLMSELECT: Using the CLASS statement in SAS 9.1 Laura E. Archer 11
PharmaSUG 2008 Using ESTIMATE and CONTRAST Statements for Customized Hypothesis Tests Hanyu Chen 8
SGF 2008 A SAS Text Mining Approach to Predicting the Resolvability of Disputes between eBays Sellers and Buyers Kevin S. Henning,
Zhangxi Lin		 source 12
SGF 2008 Adventures in ODS: Producing Customized Reports Using Output from Multiple SAS Procedures Stuart D. Long,
Jeffrey M. Abolafia,
Lawrence Park		 source 23
SGF 2008 Any WAY you Want it: Getting the Right TYPEs of Observations Out of PROC SUMMARY or MEANS Christianna S. Williams source 8
SGF 2008 Applying SAS Mixed-Model Procedures to Educational-Assessment Data Brian Patterson source 8
SGF 2008 Computational Algorithm for Estimation of Panel Data Models with Two Fixed Effects Alan Ricardo da Silva,
Patrick F. Alves		 source 10
SGF 2008 Convergence Failures in Logistic Regression Paul D. Allison source 11
SGF 2008 Count Data Models in SAS Wensui Liu,
Jimmy Cela		 source 12
SGF 2008 Data Mining Application of Non-Linear Mixed Modeling in Water Quality Analysis Anpalaki J. Ragavan source 14
SGF 2008 Fitting Generalized Additive Models with the GAM Procedure in SAS 9.2 Weijie Cai source 14
SGF 2008 How to Use SAS to Fit Multiple Logistic Regression Models Anpalaki J. Ragavan source 13
SGF 2008 Identifying Potential Default Loan Applicants: A Case Study of Consumer Credit Decision for Chinese Commercial Bank Zhangxi Lin,
Qiwei Gan,
Binjie Luo		 source 12
SGF 2008 In Search for a Golden Algorithm Tamara S. Slipchenko,
Candice Bowman,
Catherine Sugar,
Allen L. Gifford		 source 9
SGF 2008 Introduction to Correlation and Regression Analysis Ian Stockwell source 8
SGF 2008 It's 9:00 AM: Do You Know Where Your Critical Talent Is? Retention Analytics for Human Capital Management Lynn Creecy,
Bradley W. Klenz		 source 11
SGF 2008 Lithium Battery Analysis: Probability of Failure Assessment Using Logistic Regression Travis A. Moebes source 9
SGF 2008 On Predicting Log-Transformed Linear Models with Heteroscedasticity Siwei Jia source 6
SGF 2008 PROC MIXED: Underlying Ideas with Examples David A. Dickey source 18
SGF 2008 Reliability and Validity Testing using SAS/STAT Andrea Roofe source 8
SGF 2008 The Early Warning Project: Prewarning and Avoiding Problems and Costly Downtime in Complex Industrial Processes Torulf Mollestad,
Frode Oplenskedal		 source 12
SGF 2008 The Use of Propensity Scores and Instrumental Variable Methods to Adjust For Treatment Selection Bias R. Scott Leslie,
Hassan Ghomrawi		 source 8
SGF 2008 Understanding Your Customer: Segmentation Techniques for Gaining Customer Insight and Predicting Risk in the Telecom Industry Glendon Cross,
Wayne Thompson		 source 14
SGF 2008 Using PROC GENMOD to find a fair house insurance rate for the Norwegian market Sverre Grevskott,
Sten Sture		 source 9
SGF 2008 Zero-Inflated Poisson and Zero-Inflated Negative Binomial Models Using the COUNTREG Procedure Donald Erdman,
Arthur V. Sinko		 source 11
NESUG 2007 A Consolidated Macro for Iterative Hot Deck Imputation Bruce Ellis 15
NESUG 2007 Application of Ghosh, Grizzle and Sen's Nonparametric Methods in Longitudinal Studies Using SAS PROC GLM Chan Zeng,
Gary Zerbe		 14
NESUG 2007 Building a Better Bar Chart with SAS/Graph Software Perry Watts 20
NESUG 2007 Color Your World - With SAS Louise S. Hadden,
Andrew Johnson,
Lauren Olsho		 11
NESUG 2007 Common Pitfalls in SAS Statistical Analysis Macros in a Mass Production Environment Huei-Ling Chen,
Aiming Yang		 9
NESUG 2007 Customizing Output for Regression Analyses Using ODS and the Data Step Zhenyi Xue 11
NESUG 2007 Using Macro and ODS to Overcome Limitations of SAS Procedures Wei (Lisa) Lin,
Jing Su		 7
NESUG 2007 Using PROC GENMOD to Model Adverse Event Counts in a Healthcare Setting John Ulicny,
Thomas Klumpp		 13
NESUG 2007 Using SAS ODS to Extract and Merge Statistics from Multiple SAS Procedures into a Single Summary Report, a Detailed Methodology Stuart D. Long,
Jeffrey M. Abolafia,
Lawrence Park		 22
SESUG 2007 Benefits of Using Bridging Metadata Doug Janssen source 4
SESUG 2007 Information Criteria Methods in SAS for Multiple Linear Regression Models Dennis J. Beal source 10
SESUG 2007 PROC MIXED: Underlying Ideas with Examples David A. Dickey source 19
SESUG 2007 ROBUST_ES: A SAS Macro for Computing Robust Estimates of Effect Size Jeffrey D. Kromrey,
Kevin B. Coughlin		 source 16
SESUG 2007 Selection Bias Adjustment: Root Canal Therapy and Self-reported Oral Health Mark S. Litaker,
Sandre F. McNeal,
Gregg H. Gilbert		 source 9
MWSUG 2007 Best Practices for Managing Predictive Models in a Production Environment Robert Chu 10
MWSUG 2007 Identifying and Overcoming Common Data Mining Mistakes Doug Wielenga 20
MWSUG 2007 SAS Graphs for BlackBerry, iPhone, PowerPoint, Word, Web/HTML, PDF, or RTF LeRoy Bessler 44
WUSS 2007 An Example of SAS Application in Public Health Research --- Predicting Smoking Behavior in Changqiao District, Shanghai, China Ding Ding source 8
WUSS 2007 Case Study: Development of an HIV casefinding algorithm with SAS Enterprise Miner Tamara Slipchenko,
Candice Bowman,
Yuexin (Cindy) Chen,
Catherine Sugar,
Allen L. Gifford		 source 9
WUSS 2007 Data Mining Using SAS Enterprise Miner Randall Matignon source 10
WUSS 2007 Health Outcomes Research Using Time-to-Event Analytic Approaches Tyler C. Smith,
Besa Smith		 source 22
WUSS 2007 Recreating the SELECTION=SCORE Model Specification with the BEST=n Effect Selection Option for PROC SURVEYLOGISTIC Sara R. Adams,
David R. Mink,
Dave P. Miller		 source 8
WUSS 2007 The Use of Propensity Scores and Instrumental Variable Methods to Adjust For Treatment Selection Bias R. Scott Leslie source 8
WUSS 2007 Time Series Cross Sectional Analysis of Total Nitrogen Concentration in Truckee River, Nevada Using SAS Anpalaki J. Ragavan source 11
WUSS 2007 Using the NPAR1WAY Procedure to Investigate Philanthropy Preference Survey Data Joseph E. Earley,
Kimberly Rodriguez		 source 7
PharmaSUG 2007 SAS Markov Chain Monte Carlo (MCMC) Simulation in Practice Shi-Tao Yeh,
Scott D Patterson		 20
SGF 2007 Analyzing Time Series Cross-Sectional Data with the PANEL Procedure Jan Chvosta,
Donald Erdman		 source 11
SGF 2007 Attitudes toward Immigrants and Immigration in the United States: Toward a Structural Approach Michael J. Sobczak source 12
SGF 2007 Best Practices for Managing Predictive Models in a Production Environment Robert Duling,
David M. Thompson,
Wayne Chu		 source 10
SGF 2007 Critical Success Factors for Rate Making with SAS Enterprise Miner Hrushikesh Khopkar,
Jay King		 source 17
SGF 2007 Effect Modification Investigation Using SAS - A Model-Building Exercise Vanessa Bundy,
Paule Barbeau,
Maribeth H. Johnson		 source 11
SGF 2007 Identifying and Overcoming Common Data Mining Mistakes Doug Wielenga source 20
SGF 2007 Improving Credit Scoring by Generalized Additive Model Wensui Cela,
Jimmy Liu		 source 9
SGF 2007 OLS Regression? Auto-Regression? Dynamic Regression? Rodger Zhang source 12
SGF 2007 Predicting Software Maintenance Outcomes Using Data Mining and Text Mining Uzma Raja source 9
SGF 2007 Predictive Modeling in Higher Education Tom Bohannon source 14
SGF 2007 SAS Data Integration Studio and SAS Macro - Working in Harmony for Data Warehousing Projects Tatyana Kovtun source 10
SGF 2007 SAS Macros for Automated Model Selection When the Response Variable Is Nominal-Needs and Solutions Involving PROC CATMOD Bonnie E. Williams,
Todd Kegan		 source 12
SGF 2007 Skewness, Multicollinearity, Heteroskedasticity - You Name It, Cost Data Have It! Solutions to Violations of Assumptions of the Ordinary Least Squares Regression Model Using SAS Leonor L. Ayyangar source 7
SGF 2007 Text Mining and PROC KDE to Rank Nominal Data Patricia B. Cerrito source 21
SGF 2007 Using PROC NLMIXED and PROC GLMMIX to Analyze Dyadic Data with a Dichotomous Dependent Variable Peter L. McMahon,
James M. Pouget,
Enrique R. Flom		 source 10
SGF 2007 Using SAS Macros to Produce Tables for Publication from SAS-Callable SUDAAN Roger P. Pickering source 10
SGF 2007 Variable Screening for Multinomial Logistic Regression on Very Large Data Sets as Applied to Direct Response Modeling John A. Cherrie source 12
PNWSUG 2006 There and Back Again: Navigating Between a SASHELP View and the Real World Anita Rocha 6
PNWSUG 2006 You Can't Stop Statistics: SAS/STAT Software Keeps Rolling Along Maura E. Stokes,
Robert N. Rodriguez		 32
MWSUG 2006 Illustrating generation of MSWord tables via HTML with the %cattable and %contable macros Matthew T. Karafa 6
SCSUG 2006 Flattening Dependent Tables from Relational Databases for Use in SAS Processing David Welch 34
SESUG 2006 Combining PROC GENMOD Models with Multinomial Outcomes Using PROC MIANALYZE Marie Gantz source 7
SESUG 2006 Creating RTF Tables with Univariate Analyses of Multiply Imputed Data Marie Gantz source 14
SESUG 2006 Effect Modification Investigation Using SAS - A Model Building Exercise Vanessa Bundy,
Paule Barbeau,
Maribeth H. Johnson		 source 10
SESUG 2006 Predictive Modeling to Analyze Hospital Charges Versus Reimbursements Chakib Battioui source 12
SESUG 2006 Using SAS ODS to Extract and Merge Statistics from Multiple SAS Procedures into a Single Summary Report, a Detailed Methodology Stuart D. Long source 21
WUSS 2006 Detecting Structural Change Using SAS ETS Procedures Archie J. Calise,
Joseph E. Earley		 source 7
WUSS 2006 Environmental Samples Below the Limits of Detection - Comparing Regression Methods to Predict Environmental Concentrations Daniel Smith,
Elana Silver,
Martha Harnly		 source 8
WUSS 2006 Find the Best Prospects for a New Product by Using a Data Mining Model Ting Wu source 8
WUSS 2006 Hierarchical Logistic Regression Modeling with SAS GLIMMIX Jian Dai,
Zhongmin Li,
David Rocke		 source 9
WUSS 2006 PROC GENMOD with GEE to Analyze Correlated Outcomes Data Using SAS Tyler C. Smith,
Besa Smith		 source 14
WUSS 2006 Skewness, Multicollinearity, Heteroskedasticity - You Name It, Cost Data Have It! Solutions to Violations of Assumptions of Ordinary Least Squares Regression Model Using SAS Leonor Ayyangar source 7
WUSS 2006 The Logic and Logistics of Logistic Regression Lawrence Rasouliyan,
Dave P. Miller		 source 14
NESUG 2006 Data Analysis: Beyond the Basics Ian Stockwell 9
NESUG 2006 Logistic Regression Basics Joseph J. Guido,
Paul Winters,
Adam Rains		 7
NESUG 2006 Predicting Child Support Payment Delinquency Using SAS Enterprise Miner 5.1 Jodi Blomberg,
Jacqueline K. Long		 12
NESUG 2006 Survey Logistic Regression: Some SAS-SUDAAN Comparisons Xiuhua Chen 7
NESUG 2006 Using PROC GENMOD to Model Adverse Event Counts in a Healthcare Setting John Ulicny,
Thomas Klumpp		 13
NESUG 2006 Using PROC NLMIXED and PROC GLIMMIX to analyze dyadic data with binary outcomes Peter L. Flom,
Samuel Friedman,
James McMahon,
Enrique Pouget		 10
NESUG 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 32
PharmaSUG 2006 Analyzing Ordinal Repeated Measures Data Using SAS Bin Yang 8
PharmaSUG 2006 CDISC Implementation, Real World Applications Sy J. Truong 26
PharmaSUG 2006 From GLM to GLIMMIX-Which Model to Choose? Patricia B. Cerrito 7
PharmaSUG 2006 Generating Half-normal Plot for Zero-inflated Binomial Regression Zhao Yang,
Xuezheng Sun		 12
PharmaSUG 2006 Using SAS ETL Studio to Convert Clinical Trials Data to the CDISC SDTM Barry R. Cohen 10
SUGI 2006 A Comparison of the MIXED Procedure and the GLIMMIX Procedure Jennifer L. Ferrell source 8
SUGI 2006 AMMI Macros for Multiplicative Interaction Models Eun-Joo Lee,
Dallas E. Johnson		 source 10
SUGI 2006 An Evaluation of Splines in Linear Regression Deborah M. Hurley,
James Hussey,
Robert McKeown,
Cheryl L. Addy		 source 11
SUGI 2006 Analyzing Multivariate Longitudinal Data Using SAS Feng Gao,
Chengjie Xiong,
Paul A. Thompson,
J. Philip Miller		 source 9
SUGI 2006 Application of Proc Discrim and Proc Logistic in Credit Risk Modeling Jin Li source 9
SUGI 2006 Combining the Power of ODS, Data Set Concatenation, and DDE to Output Customized Statistical Results from SAS to Microsoft Excel Navneet K. Dhand,
Jenny-Ann Toribio		 source 10
SUGI 2006 Exploring Alternative Predictive Modeling Techniques to Strengthen the Customer Relationship David Bordeleau source 5
SUGI 2006 Fixed Effects Regression Methods in SAS Paul D. Allison source 20
SUGI 2006 Investigating Open Source Project Success - A Data Mining Approach to Model Formulation, Testing and Validation Uzma Raja,
Marietta J. Tretter		 source 7
SUGI 2006 Predicting Child Support Payment Delinquency Using SAS Enterprise Miner 5.1 Jodi Blomberg,
Jacqueline K. Long		 source 12
SUGI 2006 The Enigma of Survey Data Analysis: Comparison of SAS Survey Procedures and SUDAAN Procedures Katherine L. Baisden,
Paul Hu		 source 11
SUGI 2006 Using SAS for Statistical Modeling of Nutrient Removal and Water Quality Aspects from Constructed Wetlands Rupali Mohansingh,
George C. J. Fernandez,
Keith E. Dennett		 source 11
SUGI 2006 Using SAS ODS to Extract and Merge Statistics from Multiple SAS Procedures Stuart D. Long,
Jeffrey M. Abolafia,
Lawrence Park		 source 21
SUGI 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 source 32
SESUG 2005 SAS Code to Select the Best Multiple Linear Regression Model for Multivariate Data Using Information Criteria Dennis J. Beal,
Oak Ridge		 source 6
MWSUG 2005 A Comparison Of Linear Mixed Models To Generalized Linear Mixed Models: A Look At The Benefits Of Physical Rehabilitation In Cardiopulmonary Patients Jennifer Ferrell 7
MWSUG 2005 Comparison Of Enterprise Miner And SAS/STAT For Data Mining Patricia B. Cerrito 12
MWSUG 2005 Medicare Cost Estimation For Heart Disease Fariba Nowrouzi 11
MWSUG 2005 Relationship Between Total Charges And Reimbursements In Outpatient Visits Using SAS GLMMIX Chakib Battioui 6
WUSS 2005 A Comparison of Two Procedures to Fit Multi-Level Data: PROC GLM versus PROC MIXED MaryAnne DePesquo Hope source 7
WUSS 2005 A Journey to Ellis Island: Profiling Historical Immigration Using SAS and JMP Time Series Methods Archie J. Calise,
Joseph E. Earley		 source 6
WUSS 2005 Graphing the Probability of Event as a Function of Time Using Survivor Function Estimates and the SAS System's PROC PHREG Tyler C. Smith,
Besa Smith		 source 18
WUSS 2005 Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models Oliver Schabenberger source 20
NESUG 2005 Algorithm and Software for Yield Analysis Igor Mandel,
Victor Kamensky		 16
NESUG 2005 Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models Oliver Schabenberger 20
NESUG 2005 Introduction to SAS Enterprise Guide 3.0 for Statistical Analysis Charles B. Hallahan,
Linda P. Atkinson		 20
NESUG 2005 Transforming Variables for Normality and Linearity - When, How, Why and Why Not's Steven M. LaLonde 8
NESUG 2005 Using SAS for Cointegration and Error Correction Mechanism Approaches: Estimating a Capital Asset Pricing Model for House Price Returns Ismail E. Mohamed,
Theresa R. DiVenti		 14
PharmaSUG 2005 Generating Customized Analytical Reports from SAS Procedure Output Brinda Bhaskar,
Kennan Murray		 9
PharmaSUG 2005 Power Analysis and Sample Size Estimation using Bootstrap Xiaomei Peng,
Guangbin Peng,
Celedon Gonzales		 7
SUGI 2005 A Comparison of Two Procedures to Fit Multi-Level Data: PROC GLM versus PROC MIXED Erin D. Shannon,
MaryAnne DePesquo Hope		 source 7
SUGI 2005 An Introduction to Quantile Regression and the QUANTREG Procedure Colin Chen source 24
SUGI 2005 Introducing SAS Forecast Studio Michael J. Leonard,
Brenda Wolfe,
Paddy Fahey		 source 16
SUGI 2005 Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models Oliver Schabenberger source 20
SUGI 2005 Introduction to SAS Enterprise Guide 3.0 for Statistical Analysis Charles B. Hallahan,
Linda P. Atkinson		 source 20
SUGI 2005 On GSForward-The Experimental Variable Selection Node in SAS Enterprise Miner 5.1 Leonardo Auslender source 6
SUGI 2005 Structured Neural Network Techniques for Modeling Loyalty and Profitability Carl Lee,
Tim Rey,
James W. Mentele,
Michael Garver		 source 13
SUGI 2005 Testing the Hypothesis of a Kroneckar Product Covariance Matrix in Multivariate Repeated Measures Data Anuradha Roy,
Ravindra Khattree		 source 11
SUGI 2005 Using the Proportional Odds Model for Health-Related Outcomes: Why, When, and How with Various SAS Procedures Marc Gameroff source 8
NESUG 2004 A Regression Primer with a Touch of SAS Vincent Maffei 14
NESUG 2004 Disk Space Management Topics for SAS in the Solaris Operating Environment Adeline J. Wilcox 9
NESUG 2004 Generating Customized Analytical Reports from SAS Procedure Output Brinda Bhaskar,
Kennan Murray		 12
NESUG 2004 Introduction to Using Enterprise Guide for Statistical Analysis Charles B. Hallahan,
Linda P. Atkinson		 19
SESUG 2004 Crossover Designs and Proc Mixed In SAS Hossein N. Yarandi source 11
WUSS 2004 Are Religious Universities Religious?: A Multiple Regression Analysis of Varying Factors at Loyola Marymount University using SAS/ETS Procedures Jonathan Bingham,
Joel Shackelford		 source 11
WUSS 2004 Beyond Binary Outcomes: PROC LOGISTIC to Model Ordinal and Nominal Dependent Variables Eric P. Elkin source 8
WUSS 2004 Cut Out The Cut And Paste: SAS Macros For Presenting Statistical Output Myungshin Oh,
Mel Widawski		 source 9
WUSS 2004 Kaplan Meier And Cox Proportional Hazards Modeling: Hands On Survival Analysis Tyler C. Smith,
Besa Smith		 source 14
WUSS 2004 Package, Archive, Report and Test Statistical Models Using ODS Ted Clay source 10
WUSS 2004 PROC GENMOD for Analysis of Correlated Outcome Data Using the LOGIT Link Function Tyler C. Smith,
Besa Smith,
William Honner,
Ming Ji		 source 14
WUSS 2004 Survival Analysis Using SAS Macros, ODS and SAS/GRAPH Natalia V. Udaltsova,
Irina V. Tolstykh,
Arthur L Klatsky		 source 9
WUSS 2004 The Continuing Quandary of Survey Data Part II:Comparison of SAS Procedures and SUDAAN Procedures Katherine L. Baisden source 20
MWSUG 2004 Analysis of Complex Sample Survey Data Patricia A. Berglund 7
MWSUG 2004 Evaluating Continuous Variable Transformations in Logistic Regression Maggie (Yu) Zhang,
Shaolin Chen,
Suzanne C. Rain		 12
MWSUG 2004 Presenting the Binary Logit Model Effectively using SAS Hun Myoung Park 11
PharmaSUG 2004 Apply Response Surface Analysis for Interaction of Dose Response Combine Treatment Drug Study Tung-Yi (Tony) Wu 8
PharmaSUG 2004 Generating Least Square Means, Standard Error, Observed Mean, Standard Deviation and Confidence Intervals for Treatment Differences using Proc Mixed Richann J. Watson 12
PharmaSUG 2004 Incremental Methods of Imputation for Longitudinal Data with Informative Missingness Naum M. Khutoryansky 4
PharmaSUG 2004 SAS Application in 2x2 Crossover Clinical Trial Wuwei Wayne Feng 10
PharmaSUG 2004 Testing Normality of Data using SAS Guangbin Peng 6
PharmaSUG 2004 Tools to Facilitate the Creation of Pooled Clinical Trials Databases Patricia Majcher 8
PharmaSUG 2004 Using PROC LOESS With Sparse Data Kenneth S. Liu,
Alison Kellock		 7
SUGI 2004 A SAS Program Computes the Crude, Stratified and Mantel-Haenszel Odds Ratio for Case-Control Study Analysis of Nx2xK Tables Ilene K. Brill,
Fabio Barbone		 source 10
SUGI 2004 Assessing Model Fit and Finding a Fit Model Margaret L. Bogle,
Rajiv Goel,
Robert M. Hamer,
Chan-Hee Jo,
Eric Siegel,
Pippa M. Simpson		 source 17
SUGI 2004 Introduction to Using SAS Enterprise Guide for Statistical Analysis Charles B. Hallahan,
Linda P. Atkinson		 source 20
SUGI 2004 Model-Based Multiple Imputation Geoffrey Paulin,
Shirley Tsai,
Melissa Grance		 source 13
SUGI 2004 Performing a 1:N Case-Control Match on Propensity Score Lori S. Parsons source 12
SUGI 2004 Some Statistical Strategies for Analyzing Confirmatory Studies Involving One or More Occurrences of Primary Events Gary G. Koch,
Maura E. Stokes		 source 21
SUGI 2004 Widefiles, Deepfiles, and the Fine Art of Macro Avoidance Howard L. Kaplan source 11
WUSS 2003 Advanced Analytics with Enterprise Guide Catherine Truxillo,
Stephen McDaniel		 source 9
WUSS 2003 Answering Your Questions with Statistics Diana D. Suhr source 6
WUSS 2003 Getting Started with PROC LOGISTIC Andrew H. Karp source 6
WUSS 2003 Presenting Logistic Regression Models to Non-Statisticians: Adjusted Probabilities and Adjusted Risk Ratios David J. Pasta,
Miriam G. Cisternas		 source 4
WUSS 2003 Regression Diagnostic Plots George C. J. Fernandez source 9
WUSS 2003 Using SAS IN Educational Research Leping Liu source 6
SESUG 2003 A Hybrid Modeling Platform to meet Basel II Requirements in Banking Jeffery Morrision source 8
SESUG 2003 Charting Your Course: Charts and Graphs for IT Projects Dawn Li,
Gary M. McQuown		 source 9
SESUG 2003 Comparison of PROC MIXED and PROC GLM for Analysis of Repeated Measures Data Hossein N. Yarandi source 6
SESUG 2003 Too Many Choices! The IMPORTANCE of Rank-Ordering Independent Variables Prior to Exploratory Data Analysis Gregg Weldon source 5
NESUG 2003 Backwards Manual Selection (%bms): A Macro for Selecting Logistic Regression Models to Address Epidemiological Research Questions Janice Hegewald,
Anette Pfahlberg,
Wolfgang Uter		 5
SEUGI 2003 SAS Enterprise Guide Future Directions [presentation] Amarpal Brar source 28
SEUGI 2003 The Data Warehouse Methodology as an input for Data Mining Analysis in Public Health Service [presentation] Nathalie Coue source 51
PharmaSUG 2003 Parameter estimation for incomplete bivariate longitudinal data in clinical trials Naum M. Khutoryansky 6
PharmaSUG 2003 Standardizing Data Processing and e-Publishing for the Pharmaceutical Industry Shawn Wang 6
PharmaSUG 2003 Using SAS software for Multilevel Models in Survival Analysis Gisela Tunes da Silva 4
SUGI 2003 %MONDRIAAN: Presenting 3D Information in 2D Erik W. Tilanus source 3
SUGI 2003 Cutpoint Determination Methods in Survival Analysis Using SAS Jayawant N. Mandrekar,
Sumithra J. Mandrekar,
Stephen S. Cha		 source 5
SUGI 2003 Estimating Standard Errors for CLASS Variables in Generalized Linear Models Using PROC IML David J. Pasta,
Miriam G. Cisternas		 source 6
SUGI 2003 Fast and Easy Ways to Annoy a SAS Programmer: A Statistician's Revenge! Richard M. Mitchell source 10
SUGI 2003 Monitoring, Analyzing, and Optimizing Waterflood Responses Leon L. Fedenczuk source 5
SUGI 2003 Multistage Cross-Sell Model of Employers in the Financial Industry Kwan Park,
Steve Donohue		 source 5
SUGI 2003 P-Value Generation Simplified with a Single SAS Macro Christopher S. Hord,
Peter J. Anderson		 source 3
SUGI 2003 Survival Analysis Using Cox Proportional Hazards Modeling for Single and Multiple Event Time Data Tyler C. Smith,
Besa Smith,
Margaret A. K. Ryan		 source 8
MWSUG 2002 A Macro to Assess the Key Drivers of Overall Product Acceptance using SAS System George J. Hurley,
David Hengehold		 7
MWSUG 2002 JMP Density Ellipses for Pharmaceutical Analysis Charles E. Shipp,
Kirk Paul Lafler		 5
SCSUG 2002 Statistical Pattere Recognition Using Enterprise Miner and Self-Organizing Maps Keith A. Jones 8
SCSUG 2002 Using SAS to Generate JavaScript for Dynamic Web Pages Jim Hoffman 3
NESUG 2002 Two Useful Macros to Nudge SAS to Serve You David Izrael,
Michael P. Battaglia		 6
SESUG 2002 A SAS Program for the Computation of the Crude, Stratified and Mantel-Haenszel Odds Ratio in Case-Control Study Data Analysis of Nx2xK tables Odds Ratio source 6
SESUG 2002 Analysis of Dosage-Response Data in Agricultural Research K. Bondari source 6
SESUG 2002 Automated Summarization of Risk Assessment of Discrete and Continuous Exposures in Epidemiological Studies using SAS ODS Stuart D. Long source 6
SESUG 2002 JMP Density Ellipses for Pharmaceutical Analysis Charles E. Shipp,
Kirk Paul Lafler		 source 5
SESUG 2002 The Lag-o-Matic: An Improved Method for Selecting the Lag Structure of Multiple Predictor Variables in the Absence of Theory David C. Sharp,
Stephen M. Finnigan		 source 5
SESUG 2002 Using Decision Trees to Identify Medicare Part B Providers for Audit Noel McKetty source 4
WUSS 2002 A Macro for Constructing Confidence Intervals of Simple Difference in Dichotomous Data with Repeated Measurements Chii-Dean Joey Lin,
Kung-Jong Lui		 source 4
WUSS 2002 A Randomization-Test Wrapper for SAS PROCs Christopher F. Ake,
David L. Cassell		 source 4
WUSS 2002 JMP Density Ellipse Script Code Made Easy Charles E. Shipp,
Kirk Paul Lafler		 source 6
WUSS 2002 JMP Density Ellipses for Pharmaceutical Analysis Charles E. Shipp,
Kirk Paul Lafler		 source 5
WUSS 2002 Multiple Linear Regression Analysis of Total Mercury Levels in Blood and Urine Samples Miki Yamauchi,
George C. J. Fernandez,
Stanley Omaye		 source 6
WUSS 2002 Structural Equation Modeling: Easy Solutions Using SAS Shuqiang Zhang source 5
SEUGI 2002 18 months to make an Analytical CRM dream come true: results obtained by Vodafone Omnitel in B2B Churn Prevention [presentation] Alessandro Bernorio,
Paola Bauce		 source 36
SEUGI 2002 Outcome on a bank sales campaign based on scoring list [presentation] Gianluca Bo source 20
SEUGI 2002 Turin Olympic Winter Games 2006: a marketing survey of local government initiatives, conducted with SAS tools [presentation] Veronica Baldisserri,
Flavio Bonifacio		 source 44
PharmaSUG 2002 Java Application Development for Analyzing Clinical Pharmacogenomics Data Zongwei Shen,
Robert Tracy,
Richard Judson		 4
PharmaSUG 2002 JMP Density Ellipses for Pharmaceutical Analysis Charles E. Shipp 6
PharmaSUG 2002 Macros for Model Building, Summarizing, and Displaying Results of Stepwise Logistic Regressions Lori S. Parsons 6
PharmaSUG 2002 MacStat: A Statistical Analysis and Reporting System using SAS Macros, Visual Basic, and Microsoft Word Richard Thomas 6
PharmaSUG 2002 Performing Logistic Regression on Survey Data with the New SURVEYLOGISTIC Procedure Anthony B. An 10
SUGI 2002 A Randomization-Test Wrapper for SAS PROCs David L. Cassell source 4
SUGI 2002 Analysis of Complex Sample Survey Data Using the SURVEYMEANS and SURVEYREG Procedures and Macro Coding Patricia A. Berglund source 5
SUGI 2002 Fast and Easy Ways to Annoy a SAS Programmer: A Statistician's Revenge! Richard M. Mitchell source 10
SUGI 2002 Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician Richard M. Mitchell source 10
SUGI 2002 JMP Density Ellipses for Pharmaceutical Analysis Charles E. Shipp,
Kirk Paul Lafler		 source 5
SUGI 2002 Macros for Model Building, Summarizing, and Displaying Results of Stepwise Logistic Regressions Lori S. Parsons source 6
SUGI 2002 Performing Logistic Regression on Survey Data with the New SURVEYLOGISTIC Procedure Anthony B. An source 9
SUGI 2002 Redesigning Experiments with Polychotomous Logistic Regression: A Power Computation Application Charles M. Vaughan,
Serge Guzy		 source 6
SUGI 2002 Robust Regression and Outlier Detection with the ROBUSTREG Procedure Colin Chen source 13
SUGI 2002 SAS Tools for Meta-analysis Robert M. Hamer,
Pippa M. Simpson		 source 6
SUGI 2002 SEM for Health, Business, and Education Diana D. Suhr source 8
SUGI 2002 Using SAS Enterprise Miner for Data Quality Monitoring in the Veterans Health Administration's External Peer Review Program James H. Forsythe source 5
MWSUG 2001 Modeling Lifetime Value in the Insurance Industry C. Olivia Parr Rud 9
NESUG 2001 Applying Categorical Data Analysis to Multi-way Contingency Table-Location, Accident Type, and Related Factors With Severity. Li wan Chen 10
NESUG 2001 Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician Richard M. Mitchell 10
NESUG 2001 Mapping Alaska Along With US Counties Adeline J. Wilcox 7
WUSS 2001 A Survival Analysis from the Ground Up, Using Cox Proportional Hazards Modeling Tyler C. Smith,
Besa Smith,
Margaret A. K. Ryan		 source 8
WUSS 2001 Estimating and Interpreting Ordered Regression Models using PROC PRINT Kenneth Fernandez source 5
WUSS 2001 Using SAS Enterprise Miner for Forecasting Response and Risk Kattamuri S. Sarma source 10
WUSS 2001 Using SAS to Assess Students' Learning in Instructional Technology Courses Leping Liu source 6
SESUG 2001 Conversion of SUDAAN Output into Publication-Quality Tables - A Simplified Approach Charlotte Cates Gard source 6
SESUG 2001 GETTING STARTED WITH PROC LOGISTIC Andrew H. Karp source 5
SCSUG 2001 Conversion of SUDANN Output into Publication-Quality Tables--A Simplified Approach Charlotte Cates Gard 6
SCSUG 2001 Getting Started with PROC LOGISTIC Andrew H. Karp 5
SCSUG 2001 Power and Sample Size Determination for Linear Models John M. Castelloe,
Ralph G. O'Brien		 13
SEUGI 2001 Data Mining In a Zero Latency Enterprise [presentation] Philip Bosinoff source 36
SEUGI 2001 Fast integration of Enterprise Guide and Enterprise Miner with WebHound [presentation] Klaus-Peter Huber,
Rainer Urbahns		 source 12
SEUGI 2001 Improving Datamining Results Through Data Selection and Preparation [presentation] Hein Lochner,
Nigel Wigram		 source 49
SEUGI 2001 New Visualisation in 8.2 [presentation] Stuart A. Nisbet source 32
SEUGI 2001 The SAS Solution for Enterprise Marketing Automation - Opening Session Demo [presentation] Nelle Schantz,
T. Randall Betancourt		 source 43
PharmaSUG 2001 Fitting Generalized Additive Models with the GAM Procedure Dong Xiang 8
PharmaSUG 2001 Reducing Bias in a Propensity Score Matched-Pair Sample Using Greedy Matching Techniques Lori S. Parsons 6
PharmaSUG 2001 Using SAS Version 8.1 Output Delivery System to Automate Two Sample Test Selection 4
SUGI 2001 A Macro Program for ANOVA or ANCOVA, Using PROC GLM or PROC MIXED Zaizai Lu,
David Shen		 source 4
SUGI 2001 A Non-mathematical Introduction to Regression Concepts Using PROC REG Mel Widawski source 7
SUGI 2001 A Practical Introduction to the Power of Enterprise Miner Michael S. Lajiness source 7
SUGI 2001 Analysis of Count Data Using SAS Alexander Pedan source 6
SUGI 2001 Automating the Process of Listing the Most Frequent Values of Thousands of Variables in Large Data Sets Haiping Luo,
Philip E. Friend		 source 5
SUGI 2001 Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician Richard M. Mitchell source 10
SUGI 2001 Fitting Generalized Additive Models with the GAM Procedure Dong Xiang source 8
SUGI 2001 Getting Started with PROC LOGISTIC Andrew H. Karp source 5
SUGI 2001 Modeling Lifetime Value in the Insurance Industry C. Olivia Parr Rud source 8
SUGI 2001 Outliers, Inliers, and Just Plain Liars - New Graphical EDA+ Techniques For Understanding Data Dave L. DesJardins source 6
SUGI 2001 Reducing Bias in a Propensity Score Matched-Pair Sample Using Greedy Matching Techniques Lori S. Parsons source 6
SUGI 2001 Survival Analysis and the Application of Cox's Proportional Hazards Modeling Using SAS Tyler C. Smith,
Besa Smith		 source 9
SCSUG 2000 Estimating Regression Models with Spatially-Correlated Errors Using the MIXED Procedure Sam Field 15
SCSUG 2000 Repeated-Measures Analysis and PROC MIXED Shana Smith,
Torsten B. Neilands		 17
SCSUG 2000 The Use of PROC MIXED for Analyzing Cohort-Sequential Designs C. Nathan Marti 11
SESUG 2000 Data Mining: An Overview of Methods and Technologies for Increasing Profits in Direct Marketing C. Olivia Parr Rud source 7
SESUG 2000 SAS Macros Are the Cure for Quality Control Pains Implementing A Macro Driven Evaluation of Survey Data for Quality Control Gary M. McQuown source 7
SESUG 2000 Using Data Mining Technology to Identify and Prioritize Emerging Opportunities for Mortgage Lending to Homeownership-Deficient Communities Mortgage Lending source 10
NESUG 2000 Getting Started with PROC LOGISTIC Andrew H. Karp 5
NESUG 2000 NPV Modeling for Direct Mail Insurance C. Olivia Parr Rud 7
NESUG 2000 SAS Macros are the Cure for Quality Control Pains Gary M. McQuown 6
NESUG 2000 Saving Paper and Making it Pretty: A SAS Macro for Simplifying and Enhancing Preliminary Analysis of Continuous Data Benjamin E. Leiby 7
NESUG 2000 Think Outside the Box: Analysis of Categorical Data Margaret Ann Goetz 5
NESUG 2000 Visualizing Longitudinal Ordinal Data Using Data Mosaics Matthew T. Downs 4
WUSS 2000 A Model of Integrating Technology into Classrooms: A Logistic Regression Analysis Leping Liu source 6
WUSS 2000 A Non-mathematical Introduction to Regression Using PROC REG Mel Widawski source 6
WUSS 2000 A SAS Analysis of Social and Economic Well-Being: A MultCountry Cross-Section Longevity Study Seid M. Zekavat source 5
WUSS 2000 An Overview of remedial tools for collinearity in SAS Chong Ho Yu source 6
WUSS 2000 Data Warehousing for Data Mining: A Case Study C. Olivia Parr Rud source 9
WUSS 2000 Detecting Curvillnear Relationships in PROC REG Mel Widawski source 9
WUSS 2000 Getting Started with PROC LOGISTIC Andrew H. Karp source 5
WUSS 2000 SAS STAT applications in Econometrics Mathura Thillainathan,
George C. J. Fernandez		 source 10
WUSS 2000 Unemployment and the Money Supply: Estimating Lag Coefficients Using PROC PDLREG Jia L. Wang source 6
SEUGI 2000 An ordered list of customers for a new Bank: scoring with EM 3.0 [presentation] Flavio Bonifacio source 14
SEUGI 2000 Analysing the footprints of your customer - A case study by ask|net and SAS [presentation] Klaus-Peter Huber source 40
SEUGI 2000 Churn Solution Deployment [presentation] Henrik Wagner source 36
SEUGI 2000 E.S.S.E. Editing Systems Standard Evaluation - Software Framework [presentation] A. Manzari,
G. Della Rocca,
M. Di Zao,
O. Luzi		 source 20
SEUGI 2000 SAS Software for the Analysis of Epidemiologic Data [presentation] Hans-Peter Altenburg source 39
PharmaSUG 2000 An Alternative to the Odds Ratio: A Method for Comparing Adjusted Treatment Group Effects on a Dichotomous Outcome P. Chris Holland 5
PharmaSUG 2000 Calculating a Nonparametric Estimate and Confidence Interval Using SAS Software Chris Decker 3
PharmaSUG 2000 Visualize Your Regression Analysis Fan Xu 7
SUGI 2000 Correcting for Missing Discrete Responses in Business Surveys Lawrence C. Marsh source 10
SUGI 2000 Crude Risk Assessment of Multi-Level Exposures in Epidemiological Studies Stuart D. Long,
Rebecca Darden		 source 4
SUGI 2000 Data Warehousing for Data Mining: A Case Study C. Olivia Parr Rud source 9
SUGI 2000 Detecting Curvilinear Relationships in PROC REG Mel Widawski source 9
SUGI 2000 Getting Started with PROC LOGISTIC Andrew H. Karp source 5
SUGI 2000 Improved Confidence Interval on the Mean Response in Simple Linearizable Regression Mark Carpenter,
Pandu P. Kulkarni		 source 6
SUGI 2000 Modeling Longitudinal Growth Data and Growth Percentiles with Polynomial Gompertz Model in SAS Software Inna Perevozskaya,
Olga M. Kuznetsova		 source 6
SUGI 2000 Qualitative and Limited Dependent Variable Models using the New QLIM Procedure Minbo Kim source 7
SUGI 2000 Using Enterprise Miner to Explore and Exploit Drug Discovery Data Michael S. Lajiness source 8
SUGI 2000 Using SAS Software to Perform a Case-Control Match on Propensity Score in an Observational Study Lori S. Parsons source 6
SESUG 1999 An Interactive GUI Front-End for a Credit Scoring Modeling System Jeffrey Morrison,
Futian Shi,
Timothy Lee		 source 6
SESUG 1999 Data Mining: An Overview of Methods and Technologies for Increasing Profits in Direct Marketing C. Olivia Parr Rud source 7
SESUG 1999 Forecasting Army Officer Attrition with Logistic Regression Using The SAS System Douglas L. McAllaster source 10
WUSS 1999 A Logistic Regression on the Qualities of Educational Research: Characteristics of Publishable Articles Leping Liu,
George C. J. Fernandez		 source 5
WUSS 1999 A SAS Macro for Hierarchical Data Simulation Weimin (Wiliiam) Sun,
Chih-Ping Chou		 source 6
WUSS 1999 Data Mining: An Overview of Methods and Technologies for Increasing Profits in Direct Marketing C. Olivia Parr Rud source 6
WUSS 1999 Evaluating Student Performance in Statistics Using SAS/ETS Procedures Seid M. Zekavat,
Marianna Fratkina		 source 4
WUSS 1999 Exploring Enzyme-Linked Immunosorbent Assay (ELISA) Data with the SAS Analyst Application Stewart L. Fossceco,
Nathan A. Curtis		 source 9
WUSS 1999 Modeling Individual Utility Functions Using SAS PROC LOGISTIC: A Case Study Using the NES Data Set Godofredo Gatus source 4
WUSS 1999 Polychotomous Logistic Regression and the Creation of Odds Ratios and Confidence Intervals Using the SAS PROC CATMOD Besa Nushi source 5
NESUG 1999 Data Mining: An Overview of Methods and Technologies for Increasing Profits in Direct Marketing C. Olivia Parr Rud 7
NESUG 1999 Fitting Nonlinear Mixed Models with the New NLMIXED Procedure Russell D. Wolfinger 10
NESUG 1999 Graphical Techniques for Displaying Multivariate Data James R. Schwenke,
Brian J. Fergen		 9
NESUG 1999 Input Selection, Performance Evaluation, and Credit Risk Analysis Shirley Tsai,
David Hamilton		 10
NESUG 1999 ODS for Data Analysis: Output As-You-Like-It in Version 7 Christopher R. Ollinger,
Randall D. Tobias		 8
NESUG 1999 The missing link: PROC GENMOD Margaret Ann Goetz 3
MWSUG 1999 ODS for Data Analysis: Output As-You-Like-It in Version 7 Christopher R. Olinger,
Randall D. Tobias		 8
MWSUG 1999 REG, GLM, ANOVA: Which One? Why? How? Linda M. Quinn 6
MWSUG 1999 Using Logistic Regression to Predict Customer Retention Andrew H. Karp 5
SEUGI 1999 New product marketing analysis and launch [presentation] Jose Manuel Rey source 80
SEUGI 1999 Star's the limit.Ad hoc, cross-subject queries with the SAS system in a dimensional data warehouse [presentation] Wojciech Chybowski source 30
SUGI 1999 An Interactive GUI Front-End for a Credit Scoring Modeling System Jeffrey Morrison,
Futian Shi,
Timothy Lee		 source
SUGI 1999 Data Exploration Made Easy George C. J. Fernandez source 7
SUGI 1999 Data Mining: An Overview of Methods and Techniques for Increasing Profits in Direct Marketing C. Olivia Parr Rud source 7
SUGI 1999 Exploring Enzyme-Linked Immunosorbent Assay (ELISA) Data with the SAS Analyst Application Stewart L. Fossceco,
Nathan A. Curtis		 source 9
SUGI 1999 Fitting Nonlinear Mixed Models with the New NLMIXED Procedure Russell D. Wolfinger source 10
SUGI 1999 Using Macros to Construct Overlaid Contour Plots for Response Surface Optimization David J. Meade,
Scott Lacey		 source 6
SUGI 1999 Using SAS Software to Calculate Tests of Cliffs Delta Kristine Y. Hogarty,
Jeffrey D. Kromrey		 source 5
SUGI 1999 Using SAS to Conduct Pilot Studies: An Instructors Guide Sean W. Mulvenon,
Ronna C. Turner		 source 6
SUGI 1999 Using SAS/INSIGHT Software as an Exploratory Data Mining Platform Robin Way source 6
MWSUG 1998 An Introduction to Binary Logistic Regression Linda M. Quinn 8
MWSUG 1998 If There Is A Will, There Is A Way: Getting Around Defaults of PROC LOGISTIC Chao-Ying Joanne Peng,
Tak-Shing Harry So		 10
MWSUG 1998 Producing ROC Curves For Discriminant Analysis Using PROC LOGISTIC Keith Dunnigan 7
SCSUG 1998 Laboratory Data Management and Reporting O. M. Little 30
WUSS 1998 Data Warehouses and Bayesian Analysis - A Match Made by SAS Ram Gopalan source 6
WUSS 1998 Estimating Standard Errors of Treatment Effects for Probit Models and for Linear Models of Log-Transformed Variables with PROC IML David J. Pasta,
Miriam Cisternas,
Cynthia L. Williamson		 source 6
WUSS 1998 Getting Started with PROC LOGISTIC Andrew H. Karp source 5
WUSS 1998 Influence of 1997-8 Asian Crisis on Enrollment at a Private Los Angeles, CA University John L. Rooney source 3
WUSS 1998 Multiple Regression and Model Selection on Developing a Computer Achievement Model Leping Liu,
George C. J. Fernandez		 source 6
NESUG 1998 31 Flavors of EPA Data - Analysis of Unfamiliar Databases for Secondary Use Chapman P. Gleason 7
NESUG 1998 Data Mining: An Overview of Methods and Techniques for Increasing Profits in Direct Marketing C. Olivia Parr Rud 8
NESUG 1998 Risk Evaluation after Heart Valve Replacement by PROC PHREG Choa Chen 7
NESUG 1998 Using Logistic Regression to Predict Customer Retention Andrew H. Karp 5
SESUG 1998 A SAS Macro Program to Perform Permutation Testing for Group*Time Interaction in an Unbalanced Repeated-Measures Analysis of Variance Mark S. Litaker,
Bernard Gutin		 5
SESUG 1998 Data Mining: An Overview of Methods and Technologies for Increasing Profits in Direct Marketing C. Olivia Parr Rud 7
SESUG 1998 Using SAS to Calculate Tests of Cliff's Delta Kristine Y. Hogarty,
Jeffrey D. Kromrey		 5
PNWSUG 1998 Decision Tree Classification in Direct Marketing Robert Mengis 9
PNWSUG 1998 Stepwise Anything: Reading in Regression Procedure Output for Further Testing Ted Clay,
Linda Remy		 10
SEUGI 1998 GLM and MIXED procedures to treat longitudinal data Sandrine Laguerre source 9
SEUGI 1998 SAS software within the Ernst & Young audit practice [presentation] Ton Buffing source 36
SEUGI 1998 Unpleasant data? A chance of powerful multi-variant analysis in clinical trials with data not meeting the conditions Thomas Bregenzer source 13
SUGI 1998 An Introduction to the Analysis of Repeated Measures for Continuous Response Data using PROC GLM and PROC MIXED Robert M. Hamer,
Pippa M. Simpson		 source 4
SUGI 1998 Analysis of the National Endowment of the Arts Using SAS/STAT Software James D. Ryan source 6
SUGI 1998 Application of Maximum Contrast Method to Biomedical Data Using MU L TTEST Chikuma Hamada,
Junji Kishimoto		 source 6
SUGI 1998 Bootstrapping the Standard Error of the Mediated Effect Chondra M. Lockwood,
David P. MacKinnon		 source 6
SUGI 1998 Finding the Solution to Data Mining: A Map of the Features and Components of SAS Enterprise Miner Software Table of Contents John C. Brocklebank,
Mark Brown		 source 24
SUGI 1998 Mining the Data Mart: A Case Study with Stock Market Data James A. Cox,
Tonya L. Etchison		 source 11
SUGI 1998 Multivariate Analysis Using the MIXED Procedure S. Paul Wright source 5
SUGI 1998 New SAS Procedures for Analysis of Sample Survey Data Anthony B. An,
Donna L. Watts		 source 11
SUGI 1998 Nonlinear Mixed Effects Models, a Tool for Analyzing Repeated Measurements: A Brief Tutorial Using SAS Software Peter P. Gaccione,
M.S. Blanchard		 source 6
SUGI 1998 Robust Standard Error Estimate for Cluster Sampling Data: A SAS/IML Macro Procedure for Logistic Regression with Huberization Honghu Liu source 6
PNWSUG 1997 Real-World Database Marketing Experiences Using SAS Software Robin E. Way 10
PNWSUG 1997 Using the Factor Relationship Diagram to Identify the Split-plot Factorial Design Wendy A. Bergerud 5
WUSS 1997 A SAS Macro for an Endogenous Feedback Model to Study Contextual Analysis Chih-Ping Chou,
Donyun Yang		 source 6
WUSS 1997 Analysis of Designed Experiments Using SAS PROC GENMOD Douglas C. Montgomery,
Connie M. Borror,
Sharon L. Lewis		 source 6
WUSS 1997 Analysis of Student Minimum Wage Perception Using the SAS System Maria Lizet Arellano,
Pedro Mercado,
John F. Killeen		 source 4
WUSS 1997 Cross-Validation Estimates of the Prediction Error in a Random-Coefficients Mixed Model Used to Estimate Emissions from On-Road Motor Vehicles using SAS Steven Brisby source 5
WUSS 1997 Diagnostic Plots in Regression Analysis George C. J. Fernandez source 8
WUSS 1997 Economic Development and Women's Social Status: A SAS Analysis Seid M. Zekavat source 7
WUSS 1997 Investigating Gender Empowerment: A SAS/STAT Application J. Richard Earley source 4
WUSS 1997 Logistic Regression Modeling in Complex Surveys: Examples Using LOGITSE SAS Macro Jesse Albert Canchola,
Brian D. Marx,
Joseph A. Catania		 source 10
WUSS 1997 SAS/SPECTRAVIEW Software and Data Mining: A Case Study Stuart Nisbet,
Ronald E. Stogner,
Aaron Hill		 source 5
WUSS 1997 The Sums of Squares Are All the Same - How Can the LSMEANS Be So Different? Lori Potter,
David J. Pasta		 source 6
WUSS 1997 Using SAS Multivariate Procedures to Estimate Human Development Indicators: The Case of Education and Human Development Joseph E. Earley source 4
WUSS 1997 You Want Me to Put HOW MANY Numbers in this Document? Cynthia L. Williamson source 8
NESUG 1997 A Multivariate Analysis of Airline Service Quality Vasanthakumar Bhat 7
NESUG 1997 Application of SAS/ACCESS Software & DCL to Simplify Management and Analysis of Clinical Data For In Vitro Diagnostic Medical Devices Denise Cervelli 6
NESUG 1997 Exploring Multi-Dimensional Relationships with SAS/GRAPH Software Gail F. Kirk 7
NESUG 1997 Nonlinear Mixed Effects Models, a tool for analyzing repeated-measurements data whose function is nonlinear in the parameters. Suzette Blanchard 7
NESUG 1997 Survival Analysis: Non-Traditional Applications for Non-Statisticians Margaret Ann Goetz 5
NESUG 1997 Using Base SAS and SAS/GRAPH Software to Predict and Geographically Display Regional Estimates of Persons without Health Insurance Matthew Reilly 8
NESUG 1997 Using Logistic Regression to Test for Interaction in the Presence of Zero Cells Lisa Suchower 10
MWSUG 1997 An Introduction to Survival Analysis Linda M. Quinn 12
MWSUG 1997 Enhancing the Output from PROC LOGISTIC Bharat K. Thakkar,
Kwan Hur,
Charles A. Oprian,
William G. Henderson,
Sharon Urbanski		 6
MWSUG 1997 Linear Regression Modeling using the SAS System: A Real-World Example Comparing the Factors Influencing Charity Care and Bad Debt in Wisconsin Hospitals Lynette A. Gerstner 7
MWSUG 1997 Measuring Regressor Information Content In the Presence of Collinearity Joseph Retzer,
Kurt Pflughoeft		 7
MWSUG 1997 Using SAS/STAT to Analyze Correlated Data Marlene Goormastic 7
SESUG 1997 Analysis of Repeated Measures and Longitudinal Data Jane Pendergast 8
SESUG 1997 Modeling Higher Education Processes with Multiple Logistic Regression: SAS Examples Daniel Teodorescu 5
SESUG 1997 SAS/SPECTRAVIEW Software and Data Mining: A Case Study Ronald E. Stogner 5
SESUG 1997 Stratified Weighting of Sample Data for Descriptive Purposes David L. Alderton 4
SESUG 1997 Summarization of LOGISTIC Regression Results When There Are Many Dependent Variables and a Common Shared Set of Explanatory Variables John T. Jones 7
SEUGI 1997 Data Mining and SAS/SPECTRAVIEW software: a case study Annie Postic,
Bengt Bengtsson		 source 36
SEUGI 1997 Data mining in the banking and insurance industry Juan- Ramón Amat- Barras source 18
PharmaSUG 1997 How Do I Take the Mean of an Apple and an Orange? Techniques for Integrating Data from Multiple Studies Linda Collins 8
SUGI 1997 Enhancing the Output from PROC LOGISTIC Bharat K. Thakkar,
Kwan Hur,
Charles A. Oprian,
William G. Henderson,
Sharon Urbanski		 source 6
SUGI 1997 Getting Started with PROC LOGISTIC Andrew H. Karp source 5
SUGI 1997 How Many Good Fishes Are There in Our Net? Neural Networks as a Data Analysis Tool in CDE-Mondadori's Data Warehouse Guido Cuzzocrea,
Alberto Saccardi,
Giovanni Lux,
Emilia Porta,
Arianna Benatti		 source 6
SUGI 1997 Introduction to Building a Linear Regression Model Leslie A. Christensen source 7
SUGI 1997 LOGITSE: A SAS Macro for Logistic Regression Modeling in Complex Surveys Jesse Albert Canchola,
Brian D. Marx,
Joseph A. Catania		 source 6
SUGI 1997 Multiple Response Optimization using JMP Daniel J. Obermiller source 7
SUGI 1997 Regional Theatre: Statistical Reflections on the Bottom Line James D. Ryan source 7
SUGI 1997 Response Surface Optimization Using JMP Software Melvin T. Alexander source 8
SUGI 1997 SAS/SPECTRAVIEW Software and Data Mining: A Case Study Ronald E. Stogner,
Aaron Hill		 source 5
SCSUG 1996 Getting Started with PROC LOGISTIC Andrew H. Karp 5
SESUG 1996 Discriminant Analysis via Statistical Packages Carl J Huberty,
Laureen L. Lowman		 11
SESUG 1996 Generalized Linear Models (Logistic Regression), a Comparison of Available Options and Output from the Catmod, Probit, Logistic, and Genmod Procedures Margaret A. Connolly 6
SESUG 1996 Getting Started with PROC LOGISTIC Andrew H. Karp 5
SESUG 1996 Quasicomplete Separation in Logistic Regression: A Medical Example Madeline J. Boyle 6
NESUG 1996 Forecasting Business Failures Using a Poisson Regression Model Vasanthakumar Bhat 5
NESUG 1996 Statistical Analysis of Self-Organizing Maps Susan B. Garavaglia,
Asha Sharma		 10
NESUG 1996 The Bisquare Weighted Analysis of Variance: A Technique for Nonnormal Distributions Rebecca Regeth,
William Stine		 9
NESUG 1996 Using Base and SAS/GRAPH Software to Identify and Geographically Display Health Care Labor Markets in New York State Matthew Reilly 10
MWSUG 1996 A Set of SAS Macros for Producing Statistical Reports Greg A. Grandits 10
MWSUG 1996 Exact Methods in the NPAR1WAY Procedure Anupama Narayanan,
Donna L. Watts		 5
MWSUG 1996 Testing for and Correcting for Missing Data in Survey Responses: A Survey of Downtown Business in Minneapolis Shelly S. Baxter,
Lawrence C. Marsh		 10
WUSS 1996 Logistic Regression: From SAS Coding to Statistical Interpretation Elizabeth Li source 9
SEUGI 1996 Motor and Household Insurance: Pricing to Maximise Profit in a Competitive Market Tom Wright source 10
SEUGI 1996 SAS software in the retail market Scott Thomson source 10
SEUGI 1996 Tree-based modelling with the SAS System Nick Dunkerton source 12
SEUGI 1996 TREEDISC - a method for identifying household segments Sten Sture source 11
SUGI 1996 A SAS Program for the Assessment of Unbalanced Data in Two- Sequence, Three-Period CrossoverTrials Annpey Pong,
Shein-Chung Chow		 source 6
SUGI 1996 Computing Min and Max Scorings for Two-Sample Ordinal Data Lyn Whitaker,
Michael D. Whitaker		 source 6
SUGI 1996 Exact Methods in the NPAR1WAY Procedure Anupama Narayanan,
Donna L. Watts		 source 5
SUGI 1996 Macros to Create 3-Dimensional Plots and Charts with SAS/GRAPH Software Chris Nota,
Bill Sawyer		 source 6
SUGI 1996 New Age Marketing: Past Life Regression vs. LogisticRegression C. Olivia Parr Rud source 5
SUGI 1996 Using PROC ARIMA to Test an Intervention Effect Neil S. Fleming,
Eric Gibson,
David G. Fleming		 source 10
SUGI 1996 Using SAS Software to Perform Multivariate Adjustment of Regression Coefficients Corrected for Regression Dilution Bias Greg A. Grandits,
Patricia Grambsch		 source 3
SUGI 1996 Using SASlETS Software to Develop a Forecasting Model Barbara Ledwith-Crosby source 4
SUGI 1996 Using SLIST Catalog Entries to Store FRAME Entry Object Information Randy C. Finch source 5
MWSUG 1995 An Introduction to Binary Logistic Regression Linda M. Quinn 8
MWSUG 1995 Applications of PROC PHREG Enhancements in Version 6.10 Ying C. So 9
MWSUG 1995 Discussion of the Comparison of GLM and MIXED Procedures for a Repeated Measures Design: One Within and One Between Subjects Factor Michelle Secic 6
MWSUG 1995 Simulation and Bootstrapping in the SAS System: A tutorial using PROC IML Paul A. Thompson 10
NESUG 1995 A Macro That Generates the PROC GLM LSMEANS Table from the LSMEANS Output Data Set Michael A. Walega 2
NESUG 1995 Estimating MEXVAL Statistics Ashok Mehta 5
NESUG 1995 Estimation of Nonlinear Models: A Computational Review D. Das Purkayastha 8
NESUG 1995 Getting Started with PROC LOGISTIC Andrew H. Karp 5
NESUG 1995 HOTROD: An Intelligent Hotdeck Imputation System Eugene M. Burns,
Jay Olsen		 8
NESUG 1995 More on PROC PHREG: Conditional Logistic Regression (or Should We Do Another Study..?) Peter P. Gaccione 10
WUSS 1995 Applying the SAS System in Undergraduate Managerial Economics: A General Approach Seid M. Zekavat source 5
WUSS 1995 Heteroskedasticity in Regression Model - Detection and Remedial Measures Using SAS 6.10 George C. J. Fernandez source 10
SESUG 1995 Getting Started with PROC LOGISTIC Andrew H. Karp 5
SESUG 1995 New Age Marketing: Past Life Regression versus Logistic Regression C. Olivia Parr Rud 9
SESUG 1995 Using SLIST Catalog Entries to Store FRAME Entry Object Information Randy C. Finch 5
SEUGI 1995 SAS Macros for Nonparametric Tests in the Case of Multivariate Incomplete Data from two Populations Thomas Bregenzer source 7
SUGI 1995 A Comparative Evaluation of Selected Statistical Software for Computing Various Categorical Analyses Nancy McDermott,
Cynthia White		 source 6
SUGI 1995 Conducting Linear Growth Curve Analysis with the SAS System Laura Ichikawa,
William E. Barlow		 source 6
SUGI 1995 Interactive Visualization and Statistical Interpretation of Market Share, Competitive Price, Stock and Mortgage Loan Data Using JMP 3.1 James Daughtry,
Jonathan Pinder,
Edwin Tang,
William R. Gjertsen		 source 14
SUGI 1995 Introducing the Market Research Analysis Application Wayne E. Watson source 8
SUGI 1995 Introduction to FRAME Entries in SAS/AF Software John C. Boling source 8
SUGI 1995 Karnaugh Maps, Interaction Effects and Creating Composite Dummy Variables for Regression Analysis in SAS Software Lawrence C. Marsh,
Karin Wells		 source 10
SUGI 1995 Path Analysis with the CALIS Procedure: A Step-By-Step Approach to Writing the Program Larry Hatcher source 4
SUGI 1995 Twin_Gen: A SAS Macro for the Genetic Analysis of Twin Data Kenneth Bukowski,
ViswanaThan Ramakrishnan,
Joanne Meyer,
William G. Henderson,
Mary Ellen Vitek,
Mary Biondic,
Jack Goldberg		 source 7
WUSS 1994 A SAS/ETS Application: Forecasting Iran's Agricultural Self-Sufficiency Program Seid M. Zekavat source 3
WUSS 1994 Factors Determining the Fluctuation of the Dow Jones Industrial Index Using SAS Procedures JiHong McDermott,
Anne-Marie Mowad		 source 3
WUSS 1994 Using SAS to Determine the Factors that Label College Students as "Computer Hackers" at two Los Angeles Universities Annaliza Dialino source 3
NESUG 1994 Avoiding, Accepting and Taking Advantage of Missing Data Warren Repole Jr. 10
NESUG 1994 PROC LOGISTIC: A Form of Regression Analysis Edith Flaster 3
SESUG 1994 Critical Steps to Meaningful Causal Data Analysis Deborah Wall 4
SESUG 1994 MrPD - A SAS Software Application Using Desirability Functions For Optimization of Multiple Responses Walter T. Morgan 6
SESUG 1994 Using CALL RANUNI for Encrypting Identifier Fields H. Ian Whitlock 2
SEUGI 1994 Analysis of Dose-response Curves in Molecular Pharmacology by the SAS System Paola Baiardi source 10
SEUGI 1994 Using SAS/SPECTRAVIEW Software for Data Visualisation Stuart A. Nisbet source 2
SUGI 1994 Automating the Plotting of Significant Effects in Analysis of Variance Matthew Grover,
Huixing Tang		 source 6
SUGI 1994 Avoiding, Accepting and Taking Advantage of Missing Data Warren Repole Jr. source 9
SUGI 1994 Interpreting Complex Nonlinear Models Lawrence C. Marsh,
Maureen A. McGlynn,
Debopam Chakraborty		 source 5
SUGI 1994 Introduction to FRAME Entries in SAS/AF Software John C. Boling source 8
SUGI 1994 Introduction to Repeated Measures William G. LeBlanc source 9
SUGI 1994 Mixed Model Analysis of Data: Transition from GLM to MIXED Ramon C. Littell source 8
SUGI 1994 MrPD - A SAS Software Application of Optimization of Multiple Responses Using Desirability Functions Walter T. Morgan,
Ray W. Hawley		 source 6
SUGI 1994 Neural Networks and Statistical Models Warren S. Sarle source 13
SUGI 1994 Nonlinear Regression Analysis and Nonlinear Simulation Models Donald Erdman,
Mark Little		 source 9
SUGI 1994 Scientific Visualization in Oil and Gas Exploration Leon L. Fedenczuk,
Brian Wyvill,
Kristina Hoffmann		 source 6
SUGI 1994 Using SAS Software to Check Assumptions for Analysis of Covariance, Including Repeated Measures Designs Richard P. Steiner,
N. Margaret Wineman		 source 5
SUGI 1994 Using SAS/SPECTRAVIEW for Data Visualization Stuart A. Nisbet,
Ali Dogrusoz		 source 2
WUSS 1993 A Modification of Two-Stage Least Squares in Quasi-Experiments Alex Ezuzides,
Raymond C. Peck		 source 9
WUSS 1993 A SAS Macro to Test the Significance of Differences Between Parameter Estimates in PROC CATMOD Linda R. Ferguson,
Mel Widawski,
Dawn M. Upchurch		 source 5
SCSUG 1993 An Algorithm for Creating Multiple Response Variables Paul E. Pope 4
SCSUG 1993 Automating the Plotting of Significant Effects in Analysis of Variance Huixing Tang,
Matthew Grover		 14
MWSUG 1993 Analysis of Incomplete Categorical Repeated Measures Charles S. Davis 6
MWSUG 1993 Data Ansalysis Semicolon-Free: Using SAS without the Syntax Julia Brooks 3
MWSUG 1993 Designing Bank Warning System Based on Logit Model Fitted to Multi-Period Performance Data Sameer Kumar,
Sant R. Arora		 10
MWSUG 1993 Graphical Methods for Categorical Data Michael Friendly 7
MWSUG 1993 Graphical Methods for the Interpretation of Linear Regression Models Simin Kavoossi,
Timothy E. Cooley		 7
MWSUG 1993 Programmarium and Atlas of Statistical Cartography: How to Find/Show Your Data with PROC GMAP LeRoy Bessler 10
SEUGI 1993 A Bayesian Analysis for Panel Based Data Roger Owen source 11
SEUGI 1993 A New Look at the Facilities in PROC MIXED James L. Roger source 12
SEUGI 1993 Exploratory Data Analysis Using SAS Software Gerhard Held source 11
SEUGI 1993 Generalised Linear Model and Correspondence Analysis. Application to the Goitre Problem in Mali Michel Tenehaus source 28
SEUGI 1993 Nonparametric Tests of Independence and Dispersion Extensions to a Collection of SAS Macros for Exact Nonparametrics Lars Pralle source 9
SEUGI 1993 Variable Selection Techniques Implemented in Procedures of SAS Software Olaf Gefeller source 9
SUGI 1993 A Macro for Multiple Stars Plot Andy Mauromoustakos,
Kevin C. Thompson		 source 6
SUGI 1993 A SAS Macro Procedure to Summarize the Output of Logistic Regression Models Benjamin I. Broder,
Chih-Ping Chou		 source 6
SUGI 1993 An Interactive SAS/AF System for Sample Size Calculation Deborah J. Matos source 6
SUGI 1993 Application of Conditional Logistic Regression Methods to Event History and Multiple-Choice Data Dan Steinberg source 4
SUGI 1993 Exploratory Data Analysis Using SAS Software Greg J. Weier,
Randall D. Tobias		 source 11
SUGI 1993 Graphical Evaluation of Product Characteristics Melissa A. Durfee source 6
SUGI 1993 Guided Data Analysis with SAS/LAB Software Katherine J. Roggenkamp,
Wayne E. Watson,
Randall D. Tobias		 source 7
SUGI 1993 MONOSEL: A SAS Macro for Model Selection in Linear Regression Analysis Victor Kamensky,
Ilya Muchnik		 source 6
SUGI 1993 MONTE-A Risk Analysis Program Richard H. Fleming source 6
SUGI 1993 SAS Software to Fit the Generalized Linear Model Gordon Johnston source 8
SUGI 1993 Using SAS/GRAPH Software to Create Unclassed Choropleth Maps Michael Swift,
Diane Nishri		 source 6
SESUG 1993 Repeated Measures Using PROC MIXED Instead of PROC GLM James H. Roger,
Michael Kenward		 10
SCSUG 1992 Calculating the Odds Ratio and Goodness of Fit Statistics for Logistic Regression Models Using PROC LOGISTIC Chuan-Chuan C. Wun 19
SCSUG 1992 Testing the Additivity Assumption in Repeated Measures Robert J. Zambarano 11
SCSUG 1992 The Use of PROC ARIMA to Perform Time-Series Intervention Analysis of the Impact of the Texas 1989 Motorcycle Helmet Law on Total and Head-Related Fatalities Neil S. Fleming 21
NESUG 1992 An In-Depth Look at the PHREG Procedures Peter P. Gaccione 9
NESUG 1992 Introduction to Release 6.08 SAS/INSIGHT and SAS/LAB Software Mark Brown 6
NESUG 1992 The Determination of Causal Factors Related to Fatigue Life and Multiple Site Damage in Aircraft Structures Thomas Doerfler 7
NESUG 1992 Using Macros to Create Parameter Driven Procedures that Summarize and Present Statistical Output in Tabular form John Wenston,
Ralph D'Agostino Jr.,
Kimbery Dukes		 6
MWSUG 1992 A Monte Carlo Evaluation of the Rank Transformation for Cross-Over Trials George W. Pasdirtz 6
MWSUG 1992 Introduction to Release 6.08 SAS/INSIGHT and SAS/LAB Software Mark Brown,
Marshall P. Scott		 6
SEUGI 1992 Analysing Business and Economic Data with SAS/ETS Software Georg Morsing source 9
SEUGI 1992 Guided Data Analysis with SAS/LAB Software Gerhard Held source 7
SEUGI 1992 SAS Macros for Exact Methods in Nonparametrical Statistics Thomas Bregenzer source 12
SEUGI 1992 Using SAS Macros and PROC IML to Create Special Designs for Use in Generalised Linear Models John Hendrickx source 22
SUGI 1992 A Bootstrap Evaluation of the EM Algorithm for Censored Survival Data George W. Pasdirtz source 6
SUGI 1992 A Macro Procedure in SAS Software to Summarize Output of Regression Models Chih-Ping Chou,
Eric Yu I. Wang		 source 4
SUGI 1992 A SAS Macro for Performing Analyses of Random Effect Models of Longitudinal Data Using the IML Procedure Greg A. Grandits,
Patricia Grambsch,
Thomas Louis		 source 6
SUGI 1992 An Alternative Convergence Criterion for the NLIN Procedure William Potts source 4
SUGI 1992 Analysis of Incomplete Categorical Repeated Measures Charles S. Davis source 6
SUGI 1992 Analyzing Business and Economics Data with SAS/ETS Software Mark Little source 9
SUGI 1992 Bootstrap Estimation of the Variance of Percentile Regression Parameters Michael L. Smith,
George Howard,
Gregory W. Evans		 source 9
SUGI 1992 Departmental Automation Using Release 6.06 of the SAS System Michael Sternberg,
Peter Yribar		 source 6
SUGI 1992 Determination of Response Surface Function Using Repeated Measures Denise M. Moyse,
David Henry,
Hong-Jiong Shi,
Robert S. Boger,
Clement Maurath		 source 6
SUGI 1992 Graphical Methods for Categorical Data Michael Friendly source 7
SUGI 1992 HOMOVAR: A Macro for Testing Homogeneity of Variances Kristin Latour source 5
SUGI 1992 Interactive Data Analysis Strategies Alvin M. Best III source 6
SUGI 1992 Marginal. Probabilities: An Intuitive Alternative to Logistic Regression Coefficients P. M. Wright source 3
SUGI 1992 The Use of Logit Analysis: Pitfalls and SAS Tips William Chan source 3
SUGI 1992 Using Macros to Run Regressions Reesa L. Laws source 2
SUGI 1992 Using SAS Econometric Modeling to Predict Year 2000 Census Mail Response Jay K. Keller,
Michele Carrier		 source 4
SCSUG 1991 Analyzing Repeated Measures Designs: What You Don't Know CAN Hurt You Richard W. Cole 12
SCSUG 1991 PROC AUTOREG to Forecast With a Time-Series/Cross-Section Autocorrelation Model Neil S. Fleming,
Willy Waks		 16
NESUG 1991 Analysis of Designs with Detached Control Groups Robert M. Hamer 7
NESUG 1991 Graphical Evaluation of Product Characteristics Melissa A. Durfee 6
NESUG 1991 Two-Dimensional Table Look-up Procedure Claude Biggs 6
MWSUG 1991 Boostrapping the Kaplan-Meier Difference Equation George W. Pasdirtz 6
MWSUG 1991 Cut the Key Entry and Contain the Corrections: Automating SAS Systems with OUTPUT and MERGE Features in Macros David J. Ross 4
MWSUG 1991 Monte Carlo Analysis of Change Scores David J. Mangen 6
MWSUG 1991 Using Analysis of Variance to Analyze Toxicology Data Peggy T. Konopacki,
George W. Pasdirtz		 6
SEUGI 1991 Simulation Methods Based on the SAS System Karin Schlauss,
Paul Muller		 source 12
SEUGI 1991 Statistical Evaluation and Forecasting of Steel Corrosion Data Bernhard Kienzler,
Emanuel Smailos,
Rainer Koester		 source 11
SUGI 1991 1990 Census Mail Response and Related Variables: An Examination at the County Level Using Regression Analysis Jay K. Keller,
Quentin Newhouse Jr.		 source 5
SUGI 1991 A Macro to Create a SAS Data Set Containing Commonly Reported Statistics for the Analysis of Multiple 2 x 2 Tables Suzanne Edwards,
John Henry King,
Gary G. Koch		 source 4
SUGI 1991 A Program for Outputting P Values and Confidence Intervals in an Analysis of Variance without the Use of the GLM or PR/NTTO Procedures Susan Foley Anton,
Joseph J. Andary		 source 6
SUGI 1991 A Program to Compute Odds Ratios and Confidence Intervals from LOGISTIC Output Eric Yu I. Wang,
Aili Gong,
David P. MacKinnon		 source 4
SUGI 1991 Analysis of Designs with Detached Control Groups Robert M. Hamer source 7
SUGI 1991 Creating Dot Diagrams Karen G. Malley source 4
SUGI 1991 Experiment Design in Engineering Design and Development Douglas C. Montgomery source 10
SUGI 1991 Managing Multicollinearity with the SAS System Rudolf J. Freund source 9
SUGI 1991 Ridge Regression from Correlation Matrix Input Lawrence Hotchkiss,
John R. Gerlach		 source 6
SUGI 1991 The Analysis of Two-Period Cross-Over Design with a Binary Response Variable S. Geethakrishnan source 4
SUGI 1991 Using SAS/IML Software in a New Approach to Dealing with Multicollinearity Kevin D. Brunson,
Lawrence C. Marsh		 source 5
SUGI 1991 Using the IML Procedure for Iteratively Reweighted Multiple Linear Regression with a Block-diagonal Covariance Matrix Donald H. MacQueen source 5
NESUG 1990 Handling Data Exclusions in a Clinical Trials DBMS Thomas R. Hoffman 10
NESUG 1990 Regression Analysis In The Real World Edith Flaster 7
NESUG 1990 Using Statistical Visualization as a Tool in Continuous Process Improvement Gregg A. Spindler,
Kalman J. Gyimesi		 5
MWSUG 1990 Intelligent Production Graphic Reporting Applications LeRoy Bessler 23
SEUGI 1990 Multivariate Outlier Detection Christian Derquenne source 9
SEUGI 1990 Performing Conjoint Analysis Using Proc Transreg Bjarne Nielsen,
Marcus Schmidt		 source 6
SUGI 1990 A SAS Macro for the Box-Cox Transformation: Estimation and Testing Charles B. Hallahan source 6
SUGI 1990 ANALYSIS OF COVARIANCE: REPEATED IfEASURES AND SPLIT-Plur DESIGNS George A. Milliken source 10
SUGI 1990 Formatted Tables: SAS Macro Programs Will A. Sullivan,
Sharon M. Haney,
Harvie Chang,
Gary Stephens		 source 6
SUGI 1990 The GLIM Procedure: An Interface to the SAS System P. M. Grambsch,
Jon L. Kosanke,
Terry M. Therneau,
D. J. Schaid,
R. Zinsmeister,
H.S. Wieand,
Kenneth P. Offord,
J. J. LarsonKeller		 source 5
SUGI 1990 Unbiased Estimators of Shrinkage for Chi-Square Based Measures of Association Richard F. Haase source 6
SUGI 1990 Using SAS/GRAPH Maps as a Nucleus For an Interactive Geographic Information System Jay Jacob Wind,
Jeff VanGorder		 source 6
SEUGI 1989 HyTAO - An Expert System For Statistical Data Processing Markku Korhonen source 13
SUGI 1989 A SAS Program for the Generalization of the Paired T-Test H. P. Lee,
James Lee		 source 5
SUGI 1989 Automated Analysis of Linear-Plateau Models Damon Disch source 6
SUGI 1989 Confounding of Effects in Equal n Designs: Factorial ANCOVA Scott E. Maxwell,
Harold D. Delaney		 source 6
SUGI 1989 Examining the Relationship between Survival Time and Time-dependent Covariables Using the PHSPLM Procedure Frank E. Harrell Jr.,
James E. Herndon II		 source 6
SUGI 1989 Handling Multicollinearity with SAS/IML Software: Ridge Regression on the PC Gary William Carr,
Gerald Tlapa		 source 8
SUGI 1989 How to Establish a Forecasting System with SASSoftware Joel Fingerman source 10
SUGI 1989 Illustrating Confidence Intervals Using SAS Software Julie Wildman-Pepe source 6
SUGI 1989 Issues Related to Analyzing Repeated Measurement Data Ramon C. Littell,
Jane Pendergast		 source
SUGI 1989 Revising AUTOMAP Using SAS/AF Software Carol A. Johnstone source 6
SUGI 1989 Statistical Experts Systems in SAS Software Pan-Yu Lai source 8
SEUGI 1988 New Developments in Psychometric and Market Research Procedures Gerhard Held source 5
SUGI 1988 An Imputation System for a Large-Scale Survey Eugene M. Burns,
Doug Valcour		 source 6
SUGI 1988 Application of CHESMAP-An Environmental Data Mapping Program Dan Jacobs,
David G. Swartz		 source 9
SUGI 1988 Estimating Logistic Regression Models When the Dependent Variable Has No Variance Nicholas Scott Cardell,
Dan Steinberg		 source 2
SUGI 1988 Generalized Least Squares Regression with Partially Correlated Data Andrew J. R. Gillespie source 4
SUGI 1988 Logit Models for Ordered Categorical Response Data Alan Agresti source 9
SUGI 1988 New Developments in Pyschometric and Market Research Procedures Warren F. Kuhfeld,
Forrest W. Young		 source 5
SUGI 1988 Partial Proportional Odds Models and the LOGIST Procedure Frank E. Harrell Jr.,
Bercedis L. Peterson		 source 5
SUGI 1988 Regression and the SAS System: An Overview Rudolf J. Freund source 9
SUGI 1988 Repeated Measures Analysis with the SAS System Ramon C. Littell,
Jane Pendergast		 source 7
SUGI 1988 SAS/GRAPH Scatter Maps Rob Dolan,
Sheila Fitzgerald Evans		 source 5
SUGI 1988 The Influence of Economic Variables on Seminary Participation: A SAS/ETS Application Archie J. Calise,
Joseph E. Earley		 source 5
SUGI 1988 Type I Error Rate for Small Sample Sizes Using Various Options of the CATMOD Procedure J. Paul Costiloe,
Andrew J. Cucchiara,
Susan J. Kenny		 source 4
SUGI 1988 Using the GMAP Procedure to Display Geographical Distribution of Surgical Manpower and Population in Oklahoma Ronald C. Elkins,
Mary M. Lane,
Cynthia K. Murray		 source 3
SEUGI 1987 Tutorial on PROC REG Gerhard Held source 39
SUGI 1987 Graphical Illustration of a Water Pollution Index Using SAS/GRAPH Software Michael J. Millard,
E. Barry Moser		 source 4
SUGI 1987 Interpretation and Diagnostics of the Multinomial Logistic Regression Dan Steinberg source 6
SUGI 1987 SAS System Statistical Procedures Applied to the Analysis of Water Quality Data Paul D. Mowery source 10
SUGI 1987 Time Series Intervention Analysis Using SAS Software Terry J. Woodfield source 9
SUGI 1987 Treatment of Lagged Dependent Regressors and Autocorrelated Errors in SAS/ETS Software Thomas B. Fomby,
Joseph G. Hirschberg		 source 6
SUGI 1987 Using PROC NLIN to Develop Capture Ratios Lynn Chapman source 8
SUGI 1987 Using SAS Software to Develop a Prototype for Determining Participant Profiles and for Assessing Potential Relationships Among Health Insurance Variables Ralph F. Catalanello,
Bruce W. Eagle		 source 6
SEUGI 1986 An Introduction to SAS/IML Software, an Interactive Matrix Language Mogens Weinreich source 8
SEUGI 1986 Generalized Linear Models in SAS Using PROC GLM James Roger source 10
SUGI 1986 A Generalized Growth Curve Procedure for the Analysis of Incomplete Longitudinal Data Kenneth O. Story,
Edward F. Vonesh		 source 6
SUGI 1986 A Generalized SAS Algorithm Including Error Diagnostics for the Switchback Experimental Design with Three or More Treatments Nancy K. Keith,
George D. Williams		 source 3
SUGI 1986 A Macro for Conditional Ordinary Least Squares and Weighted Least Squares Analysis of Repeated Measures Data Margaret Burchinal source 6
SUGI 1986 A Macro Library for Classical and Robust Multivariate Modeling Kathryn S. Fletcher,
E. James Harner		 source 3
SUGI 1986 Mirror, Mirror on the Wall: A SAS Software Methodology for Plotting Corporate Image Luanne M. Conley source 5
SUGI 1986 Mixed Model Analyses with the SAS System Ramon C. Littell source 8
SUGI 1986 PROC COMPUTAB Macros for Survey Processing Applications Thomas E. Billings source 5
SUGI 1986 RATS-The SAS Software Connection Caroline M. Bobik,
Arthur C. Singer		 source 3
SUGI 1986 Spline Functions for Logistic Regression Modeling Thomas F. Devlin,
Barbara J. Weeks		 source 6
SUGI 1986 The Kodak Quality Package James L. Bossert,
Julie A. LaBarr		 source 6
SUGI 1986 Using SAS Software in the Design and Analysis of Two-Level Fractional Factorial Experiments Joanne R. Wendelberger source 6
SUGI 1986 Weighted Ridge Estimation in a Collective Bargaining Context Teresa Ghilarducci,
Lawrence C. Marsh		 source 6
SEUGI 1985 Changes and Enhancements to the TABULATE Procedure Bernie Ruane source 15
SEUGI 1985 Test Procedures for Model Selection and Model Validation Wil Velding source 23
SUGI 1985 A SAS Macro for Logistic Discrimination for Three or More Populations James E. Dunn,
Eileen C. King		 source 6
SUGI 1985 Analyzing Tables with Ordered Categories Ginger Caldwell,
John D. Smith		 source 6
SUGI 1985 Changes and Enhancements to PROC TABULATE Alan Eaton source 15
SUGI 1985 Comparison of Multivariate Regression Analysis between Logistic Model and the Least Square Model Using SAS Software Jane R. Bratz,
J.S. Kim,
George K. Tokuhata		 source 4
SUGI 1985 Macro Power: A Procedure to Generate Wilcox on Rank Sum Power Curves Michael J. Todd source 4
SUGI 1985 Non parametric Sequential Trend Test Young C. Park source 5
SUGI 1985 Repeated Measures in Nonlinear Models Ronald W. Helms,
Keith E. Muller		 source 5
SUGI 1985 SAS Methods for Obtaining the Exact Hypotheses from Type 1, 11, III, and IV Estimable Functions in Terms of Cell Means Model Richard Lustick,
P. K. Tandon		 source 8
SUGI 1985 SAS Software for Log-linear Models Peter B. Imrey source 14
SUGI 1985 SAS Software for Stratified Analysis William M. Stanish source 6
SUGI 1985 The Practical Value of Logistic Regression Frank E. Harrell Jr.,
Kerry L. Lee		 source 6
SEUGI 1984 New Statistical Features in SAS Gerhard Held source 13
SUGI 1984 A SAS Program for Non parametric Tests for Homogeneity of Dose Response Growth Curves Saeid B. Amini,
Kantilal M. Patel		 source 6
SUGI 1984 Applications of Computer Cartography for Marketing Research and Corporate Planning Vince Bartle,
John G. Blodgett,
Marius Janson,
L. Douglas Smith		 source
SUGI 1984 AUTOMAP, A Conversational Front-End to the SAS/GRAPH Product for Producing Maps Maureen Baran,
Shyh-Te Peng		 source 6
SUGI 1984 BESTREG: A Procedure for Computing "BEST "Regression Subsets Harold W. Gugel source 6
SUGI 1984 New SAS Survival Procedures David M. DeLong source 3
SUGI 1984 Power Analysis for Multivariate Linear Models: New Results and SAS Software Make It Practical Keith E. Muller,
Bercedis L. Peterson		 source 6
SUGI 1984 PROC JACKREG-A SAS Procedure for Jackknife Regression Daniel M. Chilko,
Panayiotis Hambi,
Gerald R. Hobbs		 source 6
SUGI 1984 Proposed U.S. Passenger Car and Light Truck Sales Forecast Model John Janakiraman,
Stuart J. Olson Jr.		 source 5
SUGI 1984 Repeated Measures Analysis in PROC GLM Phil Spector source 10
SUGI 1984 SAS Methods for the Rank Regression Model with Missing Values R. Michael Rubison,
Michael K. Thran		 source 5
SUGI 1984 Stagewise Experimental Design Techniques for Nonlinear Models Thomas J. Bzik source 9
SUGI 1984 The Use of CATMOD for Repeated Measurement Analysis of Categorical Data Gary G. Koch,
William M. Stanish		 source 10
SUGI 1984 Using SAS Software To Do Non-Parametric Statistics Gerald R. Hobbs source 8
SEUGI 1983 GLMOUT - A SAS Program to Read PROC GLM Output A. Eastwood,
D. A. Budgett		 7
SUGI 1983 Analysis of Time Interval Problems in Multiple Period Behavioral Treatments with Multivariate Measurements Clifford L. Hirsch,
Mary S. Hirsch,
Terri J. Rau		 source 2
SUGI 1983 EASYTAST: A Complete Data Management System Using SAS and TSO/SPF for Target Animal Safety and Toxicity Studies Federick E. Livesay,
Robert L. Van Duyn		 source 4
SUGI 1983 Practical Methods for Multiple Comparisons in MANOVA Keith E. Muller source 4
SUGI 1983 PROC AID: A SAS Procedure Searching for the Best Model byStatistical Inference Yutaka Kimura,
Saburo Saeda,
Takashi Shitomi		 source 5
SUGI 1983 PROC MATRIX as an Instructional Tool in a Multivariate Statistics Course for Social Scientists Robert S. Barcikowski,
Randall R. Robey		 source 6
SUGI 1983 PROC MATRIX Macros for the Generalized Incomplete Model (GIM) and for the Multiple Design Matrix Model (MDM) Diane Fairclough,
Ronald W. Helms		 source 6
SUGI 1983 Testing Fourier Terms in Periodic Regressions John Jay Hilfiger source 4
SUGI 1982 A General Linear Models Approach for Comparing the Response of Several Species in Acute Toxicity Tests Karen L. Daniels,
Michael P. Farrell,
Jonathan C. Goyert,
Rodney H. Strand		 source 6
SUGI 1982 PROC PARCAT: A Procedure for Testing Average Partial Association Ronald G. Fleming,
J. Richard Landis,
Douglas P. Schnautz		 source 6
SUGI 1982 Repeated Measures ANOVA: The Multivariate Approach S. Paul Wright source 4
SUGI 1982 Statistical Review of Inpatient Services: A Systematic Approach Jennifer Anderson,
Gregory Lenhart,
Janice L. Weener		 source 2
SUGI 1982 Use of SAS to Analyze Experiments Conducted over Time with Multivariate Responses and Autocorrelated Errors Walter W. Stroup source 7
SUGI 1982 Variable Selection for Categorical Data Using SAS Erik J. Bergstralh,
Susan McGorray		 source 6
SUGI 1981 Missing Data in Multivariate Linear Models: A Comparison of Several Estimation Techniques James D. Hosking source
SUGI 1981 Plotting Confidence Bands Using PROC GLM and PROC REG Curtis Barton source 6
SUGI 1980 A Macro for Multivariate Randomization Analyses of Stratified Sample Data Ingrid A. Amara,
Gary G. Koch		 source 11
SUGI 1980 A Measure of Predictive Performance for Estimation When the Predicted Value is a Probability Josefina A. Lago source 6
SUGI 1980 An Overview of Survival Analysis and SAS Irving K. Hwang source
SUGI 1980 Analysis of Repeated Measures Experiments: One- and Two-way Classifications Louis Bonus,
Harji I. Patel		 source 6
SUGI 1980 Procedures for Large Regression Problems Requiring Maximum Likelihood Estimation Frank E. Harrell Jr.,
Kerry L. Lee,
Ray A. McKinnis		 source 4
SUGI 1980 Recent Developments in BMDP of Special Interest to SAS Users James W. Frane source 8
SUGI 1980 Regression with Linear Splines and Plateaus Samuel G. Carmer,
Wen T. Hsieh,
William M. Walker		 source
SUGI 1980 Threshold Point Models: A SAS Macro for Estimation of Parameters George A. Milliken,
Jeanne L. Sebaugh		 source 6
SUGI 1980 Tobit Analysis Using SAS Cathryn Gust,
Rebecca Klemm		 source 5
SUGI 1979 A Multivariate Approach to the Analysis of a Repeated Measures Experiment Using SAS Rocco L. Brunelle,
David W. Johnson		 source 5
SUGI 1979 A SAS Macro for Ridge Analysis of Multivariate General Linear. Models Kenneth A. Hardy,
Again N. Sinha		 source 5
SUGI 1979 Analyzing Large Data Sets Using PROC SSCP and GLMMS Ronald W. Helms,
James D. Hosking		 source 5
SUGI 1979 Estimating the Parameters of Biological Models Using SAS Thomas P. Capizzi,
Karen Kral,
Robert D. Small		 source 7
SUGI 1979 Exploring Biased Regression with'SAS Samuel G. Carmer,
Wen T. Hsieh		 source 6
SUGI 1979 Multivariate MultipleComparisons Using SAS A. Lawrence Gould source 8
SUGI 1979 Plotting General Linear Model Parameters and Confidence Bounds with GLMM5 David H. Christiansen,
Ronald W. Helms		 source 7
SUGI 1979 Trimmed Means, Medians, and Robust Tests of Homogeneity of Variance Donald J. Henderson source 6
SUGI 1979 Using GLMM5 for General Linear Models Analysis - A Tutorial II. Three Examples Imogene McCanless,
Ronald W. Helms		 source 9
SUGI 1978 Repeated Measures in SAS John A. Courtright source 5
SUGI 1978 Some Applications of the Discriminant Function Procedure Emilio A. Icaza,
Kenneth L. Koonce		 source 4
SUGI 1978 Use of MATRIX for Single Degree of Freedom Contrasts in Factorial Experiments. Samuel G. Carmer source 4
SUGI 1977 Really General Linear Multivariate Model Analysis Alvin M. Best III,
Ronald W. Helms		 source 6
SUGI.ONE 1976 Calculating Coefficients in Expected Mean Squares Using SAS. Henry K. Hess source 14
SUGI.ONE 1976 Econometric Uses of SAS Max Moszer,
Martha S. Shuler		 source 26
SUGI.ONE 1976 General Linear Model Procedure James H. Goodnight source 39
SUGI.ONE 1976 Unbalanced Two-Way ANOVA and SAS David G. Herr,
William A. Powers		 source 9
SUGI.ONE 1976 Use of the Harvey Procedure Walter R. Harvey source 3
SUGI.ONE 1976 Using SAS for Univariate Time Series Analysis via the Box Jenkins Technique Mark J. Nicolich source 20

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