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306 papers and 12 presentations; 304 titles.

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Conference × Year × Title × Authors Extras Pages
PHUSE APAC 2026 AI for Adverse Event Signal Detection: Moving Beyond Monika Monika source
presentation source		 10
PHUSE APAC 2026 Development of Statistical Scientists for Pharmaceutical Drug Development at India Global Capability Centres Suresh Chenji source
presentation source		 6
PHUSE APAC 2026 Reimagining Clinical Data Exploration: Animated Data Visualizations for Interactive Clinical Trial Storytelling Tony Mathew source
presentation source		 6
SESUG 2025 Introducing Automatic Graphics from Python Models in SAS Dan Heath 10
PharmaSUG 2025 Visualize High Dimension Data Using t-SNE Jun Yang source 11
PHUSE US 2025 Streamlining Machine Learning Modelling in Neuroscience Clinical Trials Through Cross-Functional Collaboration Jing Dai source
presentation source		 5
PHUSE US 2025 {teal.builder}: Our Journey After One Year Andre Couturier,
Freeman Wang		 source
presentation source		 4
MWSUG 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 7
PHUSE EU 2024 Principal Component Analysis (PCA) - An Efficient Way of Variable Reduction Method and its Application in Oncology Trials Pradeep Acharya,
Ephicacy Lifescience		 source
presentation source		 7
PHUSE EU 2024 Transcriptomics - A Demanding Data Analysis that Expands the Limits of Regulated Clinical Data Handling Lea Yoshida Hildebrandt source
presentation source		 6
SESUG 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 7
SESUG 2024 Investigating the Role of Radiomics in PET Image Analysis for Improved T-Stage Tumor Staging Victor Aderanti source 31
SESUG 2024 Unveiling the Diagnostic Potential of Radiomics-Based PET and CT Imaging through Statistical and Machine Learning Techniques Mostafa Zahed,
Janet Kireta,
Victor Aderanti,
Maryam Skafyan		 source 21
WUSS 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 6
WUSS 2024 Matrices and More: An Overview of the SAS/IML Language [presentation] Rick Wicklin source 46
PharmaSUG 2024 Visual discovery in Risk-Based Monitoring using topological models Kostiantyn Drach,
Iryna Kotenko		 source 31
PHUSE US 2024 Identifying Data Quality Issues in Clinical Trials Using OpenAI Embeddings Yash Shah,
Ashwin Rai		 source
presentation source		 5
PHUSE EU 2023 Efficacy Analyses with Imputations: Methods, Limitations and Lessons Learned Amine Khemiri source
presentation source		 3
WUSS 2023 Introduction to Machine Learning - Descriptions and Best Practices Jim Box source 13
SESUG 2023 Introduction to Principal Components and Factor Analysis Jason Brinkley source 16
SESUG 2023 Unsupervised Dimension Reduction Techniques for Lung Cancer Diagnosis Based on Radiomics Janet Kireta,
Mostafa Zahed		 source 21
PharmaSUG 2023 What is Machine Learning, anyway? Jim Box source 11
SESUG 2022 Application of Feature Selection and Dimension Reduction Techniques on Large-Scale CT Dataset for Lung Cancer Diagnosis Based on Radiomics Mostafa Zahed,
Maryam Skafyan		 source 22
PharmaSUG 2022 Potential features analysis affect Covid-19 spread Yida Bao,
Philippe Gaillard		 source 11
PHUSE US 2022 Machine Learning in R to Predict Outcomes from Biomarker Data [presentation] Benno F. Kurch,
Prakash Dev		 source
video		 21
SGF 2021 Prediction of Parkinson's Disease With a Regression Model Using Vertical Ground Reaction Force Data Jin Ge,
Tianchen Xu,
Jia Guo,
Mengyu Zhang		 source
presentation		 7
SGF 2020 %SURVEYCORRCOV Macro: Complex Survey Data Correlations for Multivariate Analysis and Model Building David R. Nelson,
Siew Wong-Jacobson		 source 20
SGF 2020 Analyzing Non-normal Data: Application to Missing Data Problems Niloofar Ramezani source 10
SGF 2020 Apply the Key Ideas from Andrew Ng's Machine Learning Certification (Coursera) in SAS Viya Petri Roine source 9
SGF 2020 Automation in SAS Visual Data Mining and Machine Learning Wendy Czika source 26
SGF 2020 Noninvasive Beehive Monitoring through Acoustic Data Using SAS Event Stream Processing and SAS Viya Yuwei Liao source 24
SGF 2020 Principal Component Analysis Demystified Caroline Walker source 7
SGF 2020 Unsupervised Contextual Clustering of Abstracts Jacob Noble,
Himanshu Gamit		 source 7
SGF 2020 Using Factor Analysis and MANOVA to Explore Academic Achievement in the 2016 Monitoring the Future Survey Data Stefanie Kairs source 20
SGF 2020 What's New in SAS Visual Data Mining and Machine Learning: From a Programmer's Perspective Tao Wang source 13
PharmaSUG 2020 Special Plots methods with diabetes disease data Yida Bao,
Zheran Wang,
Jingping Guo,
Philippe Gaillard		 source 10
PHUSE EU 2019 SAS/STAT High-performance procedures contrasted with their legacy counterparts Roman Ganzha source
presentation source		 6
PHUSE EU 2019 Sub-population Detection Using Graph-based Machine Learning Sergey Glushakov,
Kostiantyn Drach		 source 28
SESUG 2019 Advanced Statistical Modeling within Machine Learning and Big Data Analytics Niloofar Ramezani,
George Mason		 source 16
SESUG 2019 Summarizing some conventional methods to classify a binary target Yida Bao,
Philippe Gaillard		 source 10
SGF 2019 Developing a Credit Risk Model Using SAS Amos Odeleye source 16
SGF 2019 Factorization Machines, Visual Analytics, and Personalized Marketing Suneel Grover source 26
SGF 2019 Independent Component Analysis Using the ICA Procedure Ning Kang source 15
SGF 2019 Integrating SAS, Apache Hadoop and an Enterprise Data Warehouse in a Single Solution [presentation] Bob Matsey source 17
SGF 2019 Medical Image Analytics in SAS Viya for the Treatment of Colorectal Cancer Spread to the Liver Fijoy Vadakkumpadan,
Joost Huiskens		 source 11
SGF 2019 Scouting in Soccer with Applied Machine Learning Vishal Gaurav,
Goutam Chakraborty		 source 19
SGF 2019 The Wondrous New tmCooccur SAS Cloud Analytic Services (CAS) Action and Some of Its Many Uses James A. Cox,
Russell Albright		 source 13
PHUSE US 2019 Integrative Analysis of Circulating Tumor Cell Counts and Gene Expression Levels Yauheniya Cherkas source
presentation source		 8
PHUSE US 2019 Interactive Visualization of SEND Clinical Pathology Data Using R Shiny Kevin Snyder source
presentation source		 8
WUSS 2018 Analyzing international assessments: An ensemble and model comparison approach Chong Ho Yu,
Hyun Seo Lee,
Siyan Gan,
Emily Lara		 source 13
PHUSE US 2018 A Statistics-based Tool to Inform Risk-based Monitoring Approaches Laura Williams,
Giulia Zardi		 source
presentation source		 8
PHUSE US 2018 Mine the Gap: How the Role of Data Scientist Fills a Need in the Pharmaceutical Industry Michael S Rimler,
Jorine Putter		 source
presentation source		 8
PharmaSUG 2018 Implementation of ADaM Basic Data Structure on Genetic Variation Data for Pharmacogenomics Studies Linghui Zhang source 10
PharmaSUG 2018 Multicollinearity: What Is It and What Can We Do About It? Deanna Naomi Schreiber-Gregory source 13
PharmaSUG 2018 Statistical Analysis and Visualization of Microbiome data in Clinical Trials Athira Sudhakaran,
Limna Salim		 source 8
SGF 2018 Analytics of Things: New Analytical Models for Creating Business Value from IoT Data Ryan Gillespie source 11
SGF 2018 Biomedical Image Analytics Using SAS Viya Fijoy Vadakkumpadan,
Saratendu Sethi		 source 12
SGF 2018 Development of an Individual-Level Social Determinants of Health (SDoH) Classification Model Ryan C. Butterfield,
Paul A. LaBrec		 source 13
SGF 2018 Do You Need to Put Your Data on a Diet? Howard Plemmons Jr.,
Priya Sharma		 source 7
SGF 2018 Factors versus Clusters Diana D. Suhr source 16
SGF 2018 From Unstructured Text to the Data Warehouse: Customer Support at the University of North Texas Nick Evangelopoulos source 10
SGF 2018 How to Use Streaming Analytics to Create a Real-Time Digital Twin Bradley W. Klenz source 14
SGF 2018 Mitigating the Effects of Class Imbalance Using SMOTE and Tomek Link Undersampling in SAS Kyle Biron source 20
SGF 2018 Robust Principal Component Analysis: Two Analyses in One Anthony Salis,
Zohreh Asgharzadeh,
Kyungduck Cha		 source 11
SGF 2018 Time Series Feature Extraction Michele A. Trovero,
Michael J. Leonard		 source 18
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
PHUSE EU 2017 Topology-based Clinical Data Mining: Identifying Hidden Patterns in Clinical Datasets Sergey Glushakov source
presentation source		 18
MWSUG 2017 Dimensionality Reduction using Hadamard, Discrete Cosine and Discrete Fourier Transforms in SAS Mohsen Asghari,
Aliasghar Shahrjooihaghighi,
Ahmad Desoky		 12
WUSS 2017 Multicollinearity: What Is It and What Can We Do About It? Deanna Naomi Schreiber-Gregory source 12
PharmaSUG 2017 Topology-based Clinical Data Mining for Discovery of Hidden Patterns in Multidimensional Data Sergey Glushakov,
Iryna Kotenko,
Andrey Rekalo		 source 20
SGF 2017 An Investigation into Big Data Analytics Applied to Insurance Rebecca Peters,
Penny Holborn		 source 18
SGF 2017 Automatic Singular Spectrum Analysis and Forecasting Michael J. Leonard,
Bruce Elsheimer		 source 18
SGF 2017 Factorization Machines: A New Tool for Sparse Data Jorge Silva,
Ray Wright		 source 14
SGF 2017 The Development and Application of a Composite Score for Social Determinants of Health Paul A. LaBrec,
Ryan C. Butterfield		 source 16
SGF 2017 Time-Frequency Analysis Using SAS Michael J. Leonard,
Wei Xiao,
Arin Chaudhuri		 source 5
MWSUG 2016 An Innovative Method of Customer Clustering Brian Borchers 6
WUSS 2016 Creating meaningful factors from dietary questionnaires Jenna Carlson source 9
SGF 2016 An Application of the PRINQUAL Procedure to Develop a Synthetic Index of Customer Value for a Colombian Financial Institution Ivan Atehortua,
Diana Flórez		 source 7
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 Medicare Fraud Analytics Using Cluster Analysis: How PROC FASTCLUS Can Refine the Identification of Peer Comparison Groups Paulo Macedo source
zip		 9
SGF 2016 Predicting the Current Market Value of a Housing Unit across the Four Census Regions of the United States Using SAS Enterprise Miner 12.3 Mostakim Tanjil,
Goutam Chakraborty		 source
presentation		 12
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 Text Analytics and Brand Topic Maps Nicholas Evangelopoulos source 11
SESUG 2015 Text Analytics Using JMP Melvin T. Alexander,
Social Security		 source 14
SGF 2015 An Innovative Method of Customer Clustering Brian Borchers,
Ashlie Ossege		 source 6
SGF 2015 How to Hunt for Utility Customer Electric Usage Patterns Armed with SAS Visual Statistics with Hadoop and Hive Kathy Ball source 12
SGF 2015 Improving the Performance of Data Mining Models with Data Preparation Using SAS Enterprise Miner Ricardo Galante source 21
SGF 2015 Modeling to Improve the Customer Unit Target Selection for Inspections of Commercial Losses in the Brazilian Electric Sector: The case of CEMIG Sergio Henrique Ribeiro,
Iguatinan Monteiro		 source 7
SGF 2015 Unconventional Data-Driven Methodologies Forecast Performance in Unconventional Oil and Gas Reservoirs Keith R. Holdaway,
Louis Fabbi,
Dan Lozie		 source 20
SGF 2015 Want an Early Picture of the Data Quality Status of Your Analysis Data? SAS Visual Analytics Shows You How Gerhard Svolba source
zip		 19
SESUG 2014 Identifying Superutilizers in the Medicaid Population - A Simple and Powerful technique Aran Canes 7
SESUG 2014 Tricks and Tips for Using the Bootstrap in JMP Pro 11 Jason Brinkley source 13
MWSUG 2014 Common Method Variance Techniques Bradford R. Eichhorn 11
WUSS 2014 Reanalysis of Ecological Data from the 1989 China Study Using SAS Enterprise Guide Thomas E. Billings source 17
PharmaSUG 2014 Factor Analysis of Scale for Assessment of Negative Symptoms using SAS Software Ben Adeyi,
David Shen		 source 8
SGF 2014 An Overview of Machine Learning with SAS Enterprise Miner Patrick Hall,
Jared Dean,
Ilknur Kaynar Kabul,
Jorge Silva		 source
zip		 24
SGF 2014 Estimating Ordinal Reliability Using SAS Laura Kapitula source 6
SGF 2014 SAS/STAT 13.1 Round-Up Bob Rodriguez,
Maura E. Stokes		 source 25
SGF 2014 Selecting Peer Institutions with Cluster Analysis Diana D. Suhr source 12
SGF 2014 The Use of Analytics for Insurance Claim Fraud Detection: A Unique Challenge Roosevelt Mosley,
Nick Kucera		 source 15
SGF 2014 Using SAS to Examine Internal Consistency and to Develop Community Engagement Scores Renee Gennarelli,
Melody S. Goodman		 source 10
SGF 2014 What's New in SAS Enterprise Miner 13.1 Jared Dean,
Jonathan Wexler		 source 16
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 Determination of Body Sway area by Fourier Analysis of its Contour Thomas Wollseifen source
presentation source		 7
MWSUG 2013 Marrying Customer Intelligence with Customer Segmentations to Drive Improvements to Your CRM Strategy Phil Krauskopf 8
SGF 2013 Bringing Churn Modeling Straight to the Source: SAS and Teradata In-Database Model Development Jonathan Wexler,
Karl Krycha		 source 9
SGF 2013 Do SAS users read books? Using SAS graphics to enhance survey research Barbara B. Okerson source 10
SGF 2013 Predictive Modeling in Sports Leagues: An Application in the Indian Premier League Goutam Chakraborty,
Pankush Kalgotra,
Ramesh Sharda		 source 10
SGF 2013 Segmentation and Classification Analysis Using SAS Rachel Poulsen source 14
SGF 2013 Variable Reduction in SAS by Using Weight of Evidence and Information Value Alec Zhixiao Lin source 12
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 Applying Customer Attitudinal Segmentation to Improve Marketing Campaigns Wenhong Wang,
Mark Antiel		 10
NESUG 2012 K-Nearest Neighbor Classification and Regression in SAS Liang Xie 16
NESUG 2012 Target Trained Transformations for Predictive Modeling Talbot M. Katz 9
SCSUG 2012 An analysis of customer preference of automobile products using SAS. Akkarapol Sa-ngasoongsor source 10
PHUSE EU 2012 Multicollinearity Diagnostics in Statistical Modeling and Remedies to Deal with it Using SAS Harshada Joshi,
Swapna Deshpande		 source
presentation source		 12
SESUG 2012 Do SAS users read books? Using SAS graphics to enhance survey research Barbara B. Okerson source 10
SESUG 2012 K-Nearest Neighbor Classification and Regression using SAS Liang Xie source 16
WUSS 2012 Moving Beyond Caveman Communication to Explain the Statistics Behind Your Model:So Easy a PhD Can Do It! Kari Kelso source 9
WUSS 2012 Multivariate Statistical Analysis in SAS: Segmentation and Classification of BehavioralData Rachel Poulsen source 14
SGF 2012 Cluster Mapping of Medicare Severity Diagnosis-Related Groups for ICD-10 Conversions Keith A. Jones source 11
SGF 2012 CSI: Customer Segmentation Intelligence for Increasing Profits Darius S. Baer source 13
SGF 2012 Exploring the Dimensionality of Large-Scale Standardized Educational Assessments Using PROC FACTOR Jonathan Steinberg source 10
SGF 2012 Introduction to Predictive Modeling with Examples David A. Dickey source 14
SGF 2012 Monitoring the Variation in Your Multivariate Process: An Introduction to the MVPMODEL and MVPMONITOR Procedures Blair Christian,
Bucky Ransdell		 source 13
SGF 2012 Variable Selection for Multivariate Cointegrated Time Series Prediction with PROC VARCLUS in SAS Enterprise Miner 7.1 Akkarapol Sa-ngasoongsong,
Satish T. Bukkapatnam		 source 12
SESUG 2011 Find Potential Fraud Leads Using Data Mining Techniques Find Potential Fraud Leads,
Qiling Shi,
Carrie McBrayer		 source 6
WUSS 2011 Evaluation of the Psychometric Properties of the Inventory of the Dimensions of Emerging Adulthood Nadra Lisha source 33
WUSS 2011 Modeling Interactive Advertising on TiVo: Overcoming the Challenges of Collinearity, Efficiency and Practicality Rachel Poulsen source 10
WUSS 2011 Principal Component Regression as a Countermeasure against Collinearity Chong Ho Yu source 7
PHUSE EU 2011 Different Methods of Calculating Body Sway Area Thomas Wollseifen source
presentation source		 24
MWSUG 2011 JMP as an Analytic Hub: Using JMP to Build Custom Applications via SASand R Kelci J. Miclaus,
Clay Barker,
Jun Ge		 13
NESUG 2011 Feature Selection and Dimension Reduction Techniques in SAS Sassoon Kosian,
Varun Aggarwal		 6
SGF 2011 Data Mining Using JMP Murphy Choy source 9
SGF 2011 Highlighting Unusual Behavior in Insurance Based on Social Network Analysis Carlos Andre R. Pinheiro source 9
SGF 2011 Scale Measurement: Comparing Factor Analysis and Variable Clustering Albert Liau,
Teck Kiang Tan,
Angeline Khoo		 source 19
NESUG 2010 Exploring the Dimensionality of Large-Scale Standardized Educational Assessments Using PROC FACTOR Jonathan Steinberg 8
NESUG 2010 Functional Data Analysis on SAS system Le Yin 9
SCSUG 2010 Retrieving Sound Information from MIDI and Other Multivariate Data: SAS to the Rescue Cecil R. Hallum source 22
SCSUG 2010 Using SAS for multivariate analysis of water quality parameters to determine freshwater inflow needs of estuarine organisms in Texas bays Paul Montagna source 5
WUSS 2010 101 Applications of Multivariate Statistical Procedures: PRINCOMP, CLUSTER, DISCRIM in SAS 9.2 Keh-Dong Shiang source 22
WUSS 2010 Answering Your Research Questions with Inferential Statistics Diana D. Suhr source 10
WUSS 2010 Rediscovering SAS/IML Software: Modern Data Analysis for the Practicing Statistician Rick Wicklin source 18
MWSUG 2010 Exploring, Analyzing, and Summarizing Your Data: Choosing and Using the Right SAS Tool from a Rich Portfolio Douglas Thompson 25
MWSUG 2010 Simplifying Drug Discovery with JMP John A. Wass 14
SGF 2010 Rediscovering SAS/IML Software: Modern Data Analysis for the Practicing Statistician Rick Wicklin source 18
SGF 2010 Successful Product Creation by Using Analytics to Discover What Consumers Value Ted Lang,
William Neafsey		 source 11
SCSUG 2009 SVD Filtered Temporal Usage Pattern Analysis and Clustering Liang Xie 12
WUSS 2009 Discriminant Analysis, a Powerful Classification Technique in Predictive Modeling George C. J. Fernandez source 20
SGF 2009 Beyond SAS/Genetics Amina Barhdadi,
Yassamin Feroz Zada,
Marie-Pierre Dube		 source 10
SESUG 2008 Marketing Mix Modeling: Techniques and Challenges Patralekha Bhattacharya source 6
SESUG 2008 SAS Stat Studio: A Programming Environment for High-End Data Analysts Rick Wicklin source 19
MWSUG 2008 Global Clinical Data Classification: A Discriminate Analysis Amurthur Ramamurthy,
Gordon Kapke,
Jodi Yoder		 16
MWSUG 2008 SAS Stat Studio: A Programming Environment for High-End Data Analysts Rick Wicklin 19
PNWSUG 2008 SAS Stat Studio: A Programming Environment for High-End Data Analysts Maura E. Stokes 19
SGF 2008 Factor Analysis of Caregiver-Strain Questionnaire in Clinical Research Hui Liu,
David Shen,
Louie Huang		 source 8
SGF 2008 PROC CORRESP for Categorical Data: Correspondence Analysis (CA) for Discovery, Display, and Decision-Making Wendy B. Dickinson,
Bruce W. Hall		 source 8
SGF 2008 SAS Stat Studio: A Programming Environment for High-End Data Analysts Rick Wicklin source 19
SGF 2008 The Early Warning Project: Prewarning and Avoiding Problems and Costly Downtime in Complex Industrial Processes Torulf Mollestad,
Frode Oplenskedal		 source 12
NESUG 2007 Exploratory Visualization of Correlation Matrices Shi-Tao Yeh 18
WUSS 2007 Data Mining Using SAS Enterprise Miner Randall Matignon source 10
PHUSE EU 2007 Method Validation in a PAT Environment using a SAS EG Addin Robert Eric Huisden source 6
PHUSE EU 2007 Preparing real world data in Excel sheets for stats analysis Volker Harm source 6
SCSUG 2007 SAS Applications in Support of Off-the-shelf, Affordable, WiFi-Controlled Robots Cecil R. Hallum,
Huixing He,
Jason Minter		 12
PharmaSUG 2007 Exploratory Visualization of Correlation Matrices Shi-Tao Yeh 17
SGF 2007 Customer Case Study: The Evolution of Financial Risk Analytics at EnCana Gord Anderson,
Mark Perrin		 source 15
SGF 2007 Variable Screening for Multinomial Logistic Regression on Very Large Data Sets as Applied to Direct Response Modeling John A. Cherrie source 12
NESUG 2006 Variable Selection in the Credit Card Industry Alec Cheng,
Moez Hababo,
Ray Falk		 5
SUGI 2006 Comparison of Data Preparation Methods for Use in Model Development with SAS Enterprise Miner Charles Manahan source 10
SESUG 2005 Statistical Shape Analysis with SAS Katherine Gerber source 14
PHUSE EU 2005 The European System for Monitoring Drug Safety, EudraVigilance Hans-Georg Wagner,
Olivier Simoen		 source 13
MWSUG 2005 Customizing ODS Statistical Graphs Cynthia L. Zender,
Catherine Truxillo		 22
WUSS 2005 Customizing ODS Statistical Graphs Cynthia L. Zender,
Catherine Truxillo		 source 22
WUSS 2005 Principal Component Analysis vs. Exploratory Factor Analysis Diana D. Suhr source 10
SUGI 2005 A Multi-Model Approach to Improve Final Results Ryszard Szupiluk,
Piotr Wojewnik,
Tomasz S. Ząbkowski		 source 6
SUGI 2005 Customizing ODS Statistical Graphs Cynthia L. Zender,
Catherine Truxillo		 source 22
SUGI 2005 Model Building in PROC PHREG with Automatic Variable Selection and Information Criteria Emily M. Cain,
Ken Kleinman,
Ernest S. Shtatland		 source 10
SUGI 2005 Principal Component Analysis versus Exploratory Factor Analysis Diana D. Suhr source 11
SUGI 2005 Teaching Data Mining in a University Environment David A. Dickey source 11
SCSUG 2004 SAS and Multivariate Music: A GUI for Multivariate Analysis of Musical Instrumentation Digital Interface (MIDI) Data Lisa Cannon,
Cecil R. Hallum		 11
SUGI 2004 A New Strategy of Model Building in SAS PROC LOGISTIC with Automatic Variable Selection, Validation, Shrinkage, and Model Averaging Ernest S. Shtatland,
Ken Kleinman,
Emily M. Cain		 source 11
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 Creating Scales from Questionnaires: PROC VARCLUS vs. Factor Analysis David J. Pasta,
Diana D. Suhr		 source 19
WUSS 2003 Advanced Analytics with Enterprise Guide Catherine Truxillo,
Stephen McDaniel		 source 9
WUSS 2003 Principal Component Analysis, A Powerful Scoring Technique George C. J. Fernandez source 6
SESUG 2003 Statistical Analysis of Genotype X Environment Interaction in Agricultural Research K. Bondari source 6
SEUGI 2003 How SAS is Used for Research and Teaching to Enable Students to Become More Marketable [presentation] Iveta Stankovicova source 22
SEUGI 2003 New Directions in SAS Enterprise Miner for SAS 9.1 [presentation] David R. Duling,
Sascha Schubert		 source 26
SEUGI 2003 Predicting churn behaviour for Optimus [presentation] Ricardo Almedia source 20
SEUGI 2003 SAS - Analytical CRM for Electricity Utilities [presentation] Ales Rojik source 28
WUSS 2002 Structural Equation Modeling: Easy Solutions Using SAS Shuqiang Zhang source 5
SEUGI 2002 Demand Forecasting at Eurostar using Train Classification [presentation] Adeline Laulanie source 11
SEUGI 2002 Introduction to SAS Risk Management [presentation] Mika Hakuni source 24
SUGI 2002 Discriminant Analysis, A Powerful Classification Technique in Data Mining George C. J. Fernandez source 9
WUSS 2001 Discriminant Analysis, A Powerful Classification Technique in Data Mining George C. J. Fernandez source 9
WUSS 2001 Profiling Serial Killers Karl Glaser source 6
SEUGI 2001 A New Decision-Making Support Analysis for the Auditing Area at Banca Monte Dei Paschi Di Siena [presentation] Francesco Marzocchi,
Renato Coppi,
Roberto Tognazzi		 source 28
SEUGI 2001 New Features and Future Directions for Enterprise Miner [presentation] David R. Duling,
Gerhard Held		 source 31
SEUGI 2001 The Data Warhousing Process in the Development of Traffic Emission Information System of ATENA Project in Naples Giovanni Meccariello,
Livia Della Ragione,
Mario Rapone		 source 12
SUGI 2001 An Introduction to Computing and Interpreting Cronbach Coefficient Alpha in SAS Chong Ho Yu source 6
SUGI 2001 Multivariate Methods for Process Knowledge Discovery:The Power to Know Your Process Bob Rodriguez source 12
SUGI 2001 Partitioned Mahalanobis D^2 to Improve GIS Classification Lynette K. Duncan,
James E. Dunn		 source 6
SUGI 2001 The FASTCLUS Procedure as an Effective Way to Analyze Clinical Data Lev Sverdlov source 7
SUGI 2001 Variable Reduction for Modeling Using PROC VARCLUS Bryan D. Nelson source 3
NESUG 2000 Ad hoc Validation of Multivariate Regression Using PROC FACTOR with BY Groups Susan B. Garavaglia,
Asha Sharma,
Stephen Thompson		 10
WUSS 2000 An Overview of remedial tools for collinearity in SAS Chong Ho Yu source 6
WUSS 2000 Gaining Insight Using Visualization Techniques Curtis A. Smith,
Philip A. Cosby		 source 5
WUSS 2000 Using PROC FACTOR to Conduct an Exploratory Factor Analysis of Self Reported Symptom Data Tyler C. Smith source 6
SEUGI 2000 An application of Image Editor and Image Management to recoreded traffic video images Giovanni Meccariello,
Livia Della Ragione,
Mario Rapone		 source 9
SEUGI 2000 Development of Micro-Aggregation System for Confidential Data [presentation] L. Bechet,
P. Loosveldt,
T. Le Tri		 source 44
NESUG 1999 Input Selection, Performance Evaluation, and Credit Risk Analysis Shirley Tsai,
David Hamilton		 10
MWSUG 1999 Multivariate Time Series Analysis - An adaptation of Box-Jenkins Methodology Joseph N. Ladalla 6
SUGI 1999 Stepwise Regressor Selection for Interdependence Analysis and Multivariate Multiple Regression James E. Dunn,
Lynette K. Duncan		 source 6
SUGI 1999 Using SAS/INSIGHT Software as an Exploratory Data Mining Platform Robin Way source 6
WUSS 1998 The Capabilities of PROC FACTOR to Conduct an Exploratory Factor Analysis Tyler C. Smith source 6
WUSS 1998 Using PROC VARCLUS to Examine Geographical Patterns in Biological Time Series Data Along the California Coast Stephen Schroeter,
John Dixon,
Richard O. Smith		 source 4
NESUG 1998 Knowledge Discovery: The Seven New Multivariate Identification Model Tools Nicholas Skovran 5
SEUGI 1998 Complementary use of log-linear modelling and correspondence analysis in SAS software Jon Paul Laka,
Izaskun Astondoa		 source 18
PharmaSUG 1997 Visual Component Analysis: Interactive Graphical Modeling in SAS and ViSta/XLispStat Richard A. Faldowski 13
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 SAS/INSIGHT Software or JMP Software: A Comparison Andy Mauromoustakos source 3
SUGI 1997 The Parameters: A Statistical Methodology to Determine the Profit of Business Activities Ursula Herr,
Giovambattista Giangrieco,
Fabio Zaccaria,
Danilo Ballanti		 source 3
SESUG 1996 Discriminant Analysis via Statistical Packages Carl J Huberty,
Laureen L. Lowman		 11
NESUG 1996 Graphical Solutions for Market Intelligence Frederick E. Pratter 9
WUSS 1996 Exploratory Variable Clustering for Integrating Analyses David J. Pasta,
Lori Potter		 source 5
WUSS 1996 Multicollinearity in Regression Models: Detection and Remedial Measures Using the SAS System George C. J. Fernandez source 9
SEUGI 1996 QSYS - a quality information system for Swedish SNUS Bertil Runstrom source 7
NESUG 1995 Data Reduction: An Introduction to Principal Components Analysis Jennifer L. Caveny,
James F. Murray		 10
NESUG 1995 Displaying the Results of Multivariate Analyses Dan Jacobs,
Steven G. Smith		 8
NESUG 1995 Understanding the Collinearity Diagnostics in SAS/INSIGHT and PROC REG Charles B. Hallahan 4
SEUGI 1995 A School Population Forecast Model Pasqualino Castaldi source 10
SEUGI 1995 Identifying Hospital Peer Groups According to Case Mix Peter Benton source 10
SEUGI 1995 Statistics and Democracy Preference Mapping in Opinion Poll Analysis Guido Cuzzocrea source 6
SEUGI 1995 TLO - Targetting Labour Offer Flavio Bonifacio source 7
SUGI 1995 An Introduction to JMP Software, Release 3.1, SAS Institute's Statistical Visualization Software for Both Macintosh and Windows William R. Gjertsen source 7
SUGI 1995 An Introduction to Partial Least Squares Regression Randall D. Tobias source 8
SUGI 1995 Introducing the Market Research Analysis Application Wayne E. Watson source 8
NESUG 1994 A SAS Macro Incorporating Discriminant Analystis Techniques Sivaram Kalyandrug,
Antonis D. Koutsoukos,
Lawrence V. Rubinstein		 9
NESUG 1994 Using the SAS Systems for Market Research: Gap Analysis and Ideal Point Mapping Frederick E. Pratter 7
SEUGI 1994 Graphical Extensions for Principal Component Analysis (Insight of a Dream PCA) Philippe Besse source 16
SEUGI 1994 Marketing Data Analysis with SAS Software Zdzislaw Piasta source 10
SEUGI 1994 Neural Networks and Statistical Models Derek Powell,
Martin Duffy		 source 9
SUGI 1994 Constructing Multivariate Control Charts with SAS Software Melissa A. Durfee source 9
SUGI 1994 Graphical Analysis of Multidimensional Ecological Community Data E. Barry Moser source 6
SUGI 1994 Model Diagnostics for Three Factor Models Eric P. Smith,
Kyoungah See		 source 5
SUGI 1994 Neural Networks and Statistical Models Warren S. Sarle source 13
SEUGI 1993 Economic Changes and Transport Modelling Eric Dutrieux 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 Morphological Analysis Applied to Quality Marie-Francois Doutre source 11
SUGI 1993 Exploratory Data Analysis Using SAS Software Greg J. Weier,
Randall D. Tobias		 source 11
SUGI 1993 The Use of Cluster Analysis in Molecular Design C. Frank Shen,
Kimberly A. Mason,
Alan H. Katz		 source 7
SESUG 1993 Outliers and Redundant Variables in Principal Component and Factor Analysis G. Mora-Aguilera,
R. Kiltiei,
D. Nleto-Angel,
D. Teliz		 10
SCSUG 1992 Adaptive Algorithmic Surface Response Estimation Thomas W. Sager,
M. W. Hemphill		 15
NESUG 1992 Data/Variables Reduction by Principal Componets, Battery Reduction and Variable Clustering Joseph Massoro,
Zhini Zhang		 11
MWSUG 1992 Marketing Research: Uncovering Competitive Advantages Warren F. Kuhfeld 9
SEUGI 1992 Bipeptidic Matrix Clustering B. Pflugfelder,
E. Ferran		 source 31
SEUGI 1992 Data Analysis and Storage Using the SAS System at JET, the Joint European Torus Knud Thomsen source 16
SEUGI 1992 Interface of the SAS System by YAFOOL Media Mhiri source 11
SEUGI 1992 Marketing Research - Uncovering Competitive Advantage Gerhard Held source 8
SUGI 1992 Evaluating Export Marketing Decisions Using Cluster Analysis and Correspondence Analysis Marcus Schmidt,
Jesper Strandskov,
Gerald Albaum		 source 5
SUGI 1992 Graphical Methods for Categorical Data Michael Friendly source 7
SUGI 1992 Marketing Research: Uncovering Competitive Advantages Warren F. Kuhfeld source 9
SUGI 1992 Ordination and Display of Multivariate Data E. Barry Moser source 10
SUGI 1992 Tetraplot - Four Vertices Are Better Than Three Leon L. Fedenczuk,
Mark Bercov		 source 5
SCSUG 1991 PROC CORRESP: Different Perspective for Nominal Analysis Richard W. Cole 8
SEUGI 1991 An Interface to the SAS System by Yafool Ali Mili,
Hedia Mhiri Sellami,
Roland Ducournaw		 source 9
SEUGI 1991 Inferences Control in Data Bases A. Bekhechi source 8
SEUGI 1991 The Role of The Andrew's Curves in Correspondence Analysis Joze Rovan source 15
SUGI 1991 A Macro For Principal Component Logistic Regression Brian D. Marx source 6
SUGI 1991 Managing Multicollinearity with the SAS System Rudolf J. Freund source 9
SUGI 1991 Statistical Graphics for Multivariate Data Michael Friendly source 6
SUGI 1991 TERNPLOT-SAS Creation of Ternary Plots Leon L. Fedenczuk,
Mark Bercov		 source 8
SUGI 1991 Using SAS/IML Software in a New Approach to Dealing with Multicollinearity Kevin D. Brunson,
Lawrence C. Marsh		 source 5
SUGI 1991 Workload Characterization Algorithms for DASD Subsystems H. Pat Artis source 5
NESUG 1990 Using Statistical Visualization as a Tool in Continuous Process Improvement Gregg A. Spindler,
Kalman J. Gyimesi		 5
SEUGI 1990 Exploratory Data Analysis of a Cube of Data by the ACT (STATIS Method) Using SAS/IML and SAS/GRAPH Software Pierre Traissac source 8
SEUGI 1990 Multivariate Outlier Detection Christian Derquenne source 9
SEUGI 1990 RV Coefficient and Principal Component Analysis of Instrumental Variables Using SAS/IML Software Pascal Schlich source 8
SUGI 1990 SAS/GRAPH Software and Numerical Taxonomy Dan Jacobs source 6
SUGI 1990 Segmenting the Tourist Market Using Factor Analysis and Cluster Analysis Marcus Schmidt,
Hans Merser		 source 6
NESUG 1989 Displaying Taxonomic Data Anaylses Using SAS/GRAPH Dan Jacobs 7
SEUGI 1989 A SAS/IML Program For Generalised Procrustes Analysis Pascal Schlich source 9
SEUGI 1989 HyTAO - An Expert System For Statistical Data Processing Markku Korhonen source 13
SEUGI 1989 KORRES - A Program For Multivariate Analysis Of Categorical Data From Contingency Tables Harald Rohling,
Jorg Blasius		 source 20
SEUGI 1989 Release 6.06 Of The SAS System Under VMS Hints And Recommendations To Help You Adjust Colin J. Harris source 15
SEUGI 1988 Future Developments in Psychometric and Market Rsearch Procedures Gerhard Held source 9
SEUGI 1988 Future Statistical Directions of the SAS System Gerhard Held source 9
SUGI 1988 New Developments in Pyschometric and Market Research Procedures Warren F. Kuhfeld,
Forrest W. Young		 source 5
SEUGI 1987 F-G Diagonalisation Using PROC MATRIX and Macro Language Marco Vaccari source 14
SEUGI 1987 Visual Explanatory Data Analysis Forrest W. Young source 11
SUGI 1987 Low-Dimensional Representation of High-Dimensional Data for Multiple Populations with Unequal Covariance Matrices Virgil R. Marco,
Danny W. Turner,
Dean M. Young		 source 6
SUGI 1987 VISUALS: Experimental Software for Dynamic Hyperdimensional Graphics Douglas P. Kent,
Warren F. Kuhfeld,
Forrest W. Young		 source 10
SEUGI 1986 How to Produce Legible Labelled Points on Graphic Outputs Bernard Geradin,
Marc Ribiere		 source 14
SEUGI 1986 Principal Component Methods for Classification of Groups of Samples Peter Yendle,
Richard Brereton,
Simon Badham		 source 34
SUGI 1986 A Macro Library for Classical and Robust Multivariate Modeling Kathryn S. Fletcher,
E. James Harner		 source 3
SUGI 1986 Weighted Ridge Estimation in a Collective Bargaining Context Teresa Ghilarducci,
Lawrence C. Marsh		 source 6
SEUGI 1985 A Help for End-Users SAS Software for Analysis of Surveys Gerard Hatabian source 10
SEUGI 1985 The Best Mode of Use for the Cubic Clustering Criterion Jean-Luc Molliere source 23
SUGI 1985 Development of Graphical Tools for Enhancements to SAS/GRAPH Software Kikuo Nakazawa,
Hiroshi Takaya,
Michiya Tomita,
Masafumi Yoshida		 source 6
SUGI 1985 Methods of Generating Model Estimates in the PRINQUAL MACRO Warren F. Kuhfeld,
Warren S. Sarle,
Forrest W. Young		 source 10
SUGI 1985 Multidimensional Scaling Models and Methods for Two-way and Three-way Proximity and Preference Data J. Douglas Carroll source
SUGI 1985 Multivariate Data Analysis Using the SAS System E. James Harner source 6
SUGI 1985 Using SAS Software to Generate Unsupervised LANDSAT Classifications Virginia R. Hetrick,
Kenneth M. Portier		 source 6
SEUGI 1984 Macro and Principal Component Analysis Gerard Hatabian source 34
SEUGI 1984 New Statistical Features in SAS Gerhard Held source 13
SEUGI 1984 SYSPAD French Methods of Data Analysis Bernard Piot,
J. M. Bouroche,
Stephane Corre		 source 7
SUGI 1984 A SAS Program for Correspondence Analysis Using PROC MATRIX Bernard Clement,
Daniel Levesque		 source 6
SUGI 1984 Using SAS Procedures to Examine Monthly Levels of Industrial Natural Gas Sales John H. Herbert source 4
SEUGI 1983 Multivariate Data Analysis Library: "French Methods" SYSPAD Jean-Michel Gautier 6
SEUGI 1983 Repertory Grid Analysis using SAS Henry Wynn,
Mark Elliott,
Sema Cemal		 17
SUGI 1983 Multivariate Data Analysis Library: "French Methods" SYSPAD Jean-Michel Gautier source 6
SUGI 1981 Community Information Indices Michael P. Farrell,
C. Pennington,
H. Polovino,
Rodney H. Strand		 source
SUGI 1979 Exploring Biased Regression with'SAS Samuel G. Carmer,
Wen T. Hsieh		 source 6
SUGI 1979 GLMM5 as a Tool for Simultaneous Study of the Structure of the Covariance Matrix and Experimental Design Effects Ronald W. Helms,
James D. Hosking,
Keith E. Muller		 source 4
SUGI 1978 Generating Multivariate Normal Data in SAS Daniel M. Chilko,
E. James Harner		 source 4
SUGI 1978 Principal Component Regression with PROC CORR and PROC MATRIX M. E. McBride,
Robert P. Parks		 source 3

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