HOME QUICK SEARCH AUTHORS KEYWORDS HELP BUGS

normal distribution

320 papers and 6 presentations; 298 titles.

Back to keywords

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
PharmaSUG 2026 Regression Analysis Made Easy Using R Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao		 source 32
PHUSE EU 2025 Multiple Imputations Overview of Missing Data Problem, Solution Methods and SAS Implementation Dmytro Kalinin source
presentation source		 13
SESUG 2025 Introduction to Data Simulation Jason Brinkley 10
SESUG 2025 Statistical Analysis in SAS: The Not-So-Scary Overview Danny R. Modlin 64
PharmaSUG 2025 Leveraging Python for Statistical Analysis in Public Health: Techniques and Visualizations for Life Sciences Professionals Michael Carnival source 14
PHUSE US 2025 Predictive Analytics for Adverse Event Underreporting Steven A. Gilbert source
presentation source		 10
PHUSE EU 2024 Comparison of the Wilcoxon-Signed Rank Test with the Hodges-Lehmann Estimator in SAS, R and StatXact as Part of the PHUSE CAMIS Project Agnieszka Tomczyk,
Lyn Taylor		 source
presentation source		 7
PharmaSUG CN 2024 Implementing the treatment policy estimation for continuous variable with multiple imputation Andy Sun source 17
PharmaSUG 2024 Bayesian Models with the Power Prior Using PROC BGLIMM Yi Gong,
Fang K. Chen		 source 15
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
WUSS 2023 The Delta Method in Statistical Inference, with Applications in the SAS IML Procedure Carter Sevick,
Camille Moore,
Samantha MaWhinney		 source 14
WUSS 2023 Univariate Outlier Detection Using SAS Fan Yang source 12
PharmaSUG 2023 Fitting Logitoid-Normal distributions with MLE estimate by SAS SEVERITY and FCMP procedures Lili Huang,
Helen Dong,
Yuanyuan Liu		 source 8
PHUSE US 2023 Parametric Event-prediction for Time-to-event Data in Clinical Trials [presentation] Jingyuan Chen,
Weijie Zhang		 source
video		 22
SESUG 2021 Moving beyond Frequency and Percentage to Chi Square, t-Tests, and Correlation Analysis Kelly D. Smith source 12
PHUSE US 2021 Parmsurv: An SAS Macro for Flexible Parametric Survival Analysis with Long-term Predictions Han Fu,
Shahrul Mt-Isa		 source
video
presentation source		 10
SESUG 2020 Using GENMOD to Calculate Prevalence Ratio for Concussion and Suicidal behaviors among U.S. High School Students Abbas S. Tavakoli source 13
SGF 2020 Estimating Jump Diffusion and VaR Models of REITs Returns Using High-Frequency Data in SAS Tunde Odusami source 25
SGF 2020 Modeling of Between - and Within-Subject Variances using Mixed Effects Location Scale (MELS) Models Qianheng Ma,
Donald Hedeker		 source 14
SGF 2020 Sample Size Calculations Using SAS, R, and nQuery Software Jenna Cody source 19
SGF 2020 Simulating Data for Complex Linear Models Phil Gibbs,
Kathleen Kiernan		 source 20
SGF 2020 Synchronized Multivariate Resampling to Designated Distribution and Population Level with PROC SURVEYSELECT Zhiyong Chen source 10
SGF 2020 Testing Hypotheses for Equivalence and Non-inferiority with Binary and Survival Outcomes Joseph C. Gardiner source 23
SESUG 2019 Regression Models for Count Data Jason Brinkley source 8
SESUG 2019 Using PROC FCMP to Implement Anomaly Detection Method Tsung-Hsun Tsai source 6
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 Explore your data before you rush to analysis, you will thank me later: explorations in cross section data Steven C. Myers 28
MWSUG 2019 Sample Size and Design Considerations in Studies Assessing Non-Inferiority using Continuous Outcomes Michael G. Wilson 19
SGF 2019 Analyzing Structural Causal Models using the CALIS Procedure Banoo Madhanagopal,
John Amrhein		 source 23
SGF 2019 Causal Analyses Using Structural Equation Models Banoo Madhanagopal,
John Amrhein		 source 23
SGF 2019 Conducting Tests in Multivariate Regression Chii-Dean Joey Lin source 13
SGF 2019 Multiple Imputation for Skewed Multivariate Data: A Marriage of the MI and COPULA Procedures Zhixin Lun,
Ravindra Khattree		 source 9
SGF 2019 Zero-Inflated and Zero-Truncated Count Data Models with the NLMIXED Procedure Robin High source 18
PHUSE EU 2018 Sample Size: A Couple More Hints to Handle it Right Using SAS and R Andrii Artemchuk source
presentation source		 11
SESUG 2018 Introduction to Data Simulation Jason Brinkley source 9
SESUG 2018 Regression Models for Count Data Jason Brinkley source 8
MWSUG 2018 Bootstrap Linear Mixed-Effects Models using SAS Procedures Adams Kusi Appiah 17
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 Statistician in my Soul. Statistical Questions from SPA Nadiia Hryhorenko source 12
PharmaSUG 2018 The Applications of Tolerance Intervals: Make it Easy Marina Komaroff source 9
SGF 2018 Factors versus Clusters Diana D. Suhr source 16
SGF 2018 Using the IML Procedure to Examine the Efficacy of a New Control Charting Technique Austin R. Brown source 8
SESUG 2017 Meta-Analysis and Matrix Multiplication: Adapting an IML-Based Macro for DerSimonian and Laird's Error Calculation to use Base SAS Venita DePuy source 16
SCSUG 2017 Prediction of Used Cars? Prices by Using SAS EM Jaideep Muley,
Vijay Kumar Movva		 source 12
WUSS 2017 Effectively Utilizing Loops and Arrays in the DATA Step Arthur X. Li source 17
WUSS 2017 Examining the Performance of a Control Chart for the Shifted Exponential Distribution using Penalized Maximum Likelihood Estimators: A Simulation Study using SAS Austin R. Brown,
Bryce Whitehead		 source 8
SGF 2017 Analyzing Correlated Data in SAS Niloofar Ramezani source 13
SGF 2017 Analyzing Residuals in a PROC SURVEYLOGISTIC Model Bogdan Gadidov source 8
SGF 2017 Cold-Start Solution to A/B Testing Using Adaptive Sample Size Modification Bo Zhang,
Liwei Wang		 source 9
SGF 2017 Fitting Complex Statistical Models with NLMIXED and MCMC Procedures Robin High source 14
SESUG 2016 A Macro for Calculating Kendall's Tau-b Correlation on Left Censored Environmental Data Dennis J. Beal,
Oak Ridge		 source 13
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 Introduction to Data Simulation Jason Brinkley source 8
PHUSE EU 2016 Probability Plots as an Instrument for Comparing Distributions Holger Langkabel source
presentation source		 9
MWSUG 2016 Frequentist and Bayesian Interim Analysis in Clinical Trials: Group Sequential Testing and Posterior Predictive Probability Monitoring Using SAS Kechen Zhao 14
MWSUG 2016 Using Animation to Make Statistical Graphics Come to Life Jesse M. Pratt 10
WUSS 2016 Creating meaningful factors from dietary questionnaires Jenna Carlson source 9
WUSS 2016 Equivalence Tests John Amrhein,
Fei Wang		 source 9
SGF 2016 A SAS Macro for Generating Random Numbers of Skew-Normal and Skew-T Distributions Alan Ricardo da Silva,
Paulo Henrique Dourado da Silva		 source
zip
presentation		 19
SGF 2016 Bayesian Inference for Gaussian Semiparametric Multilevel Models Jason Bentley,
Cathy Yuen Yi Lee		 source
zip		 19
SGF 2016 Do SAS High-Performance Statistics Procedures Really Perform Highly ? A Comparison of HP and Legacy Procedures Diep T. Nguyen,
Sean Joo,
Anh P. Kellermann,
Jeffrey D. Kromrey,
Jessica Montgomery,
Patricia Rodríguez de Gil,
Yan Wang		 source
presentation		 10
SGF 2016 Equivalence Tests Fei Wang,
John Amrhein		 source 9
SGF 2016 MCMC in SAS: From Scratch or by PROC Chelsea Lofland source 19
SGF 2016 PROC GLIMMIX as a Teaching and Planning Tool for Experiment Design Walter W. Stroup source
zip		 19
SGF 2016 Using Animation to Make Statistical Graphics Come to Life Jesse M. Pratt source 10
SGF 2016 What's the Difference? David A. Dickey source 17
WUSS 2015 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
WUSS 2015 Data Analyses in Multivariate Regression Chii-Dean Joey Lin source 9
PharmaSUG CN 2015 Effectively Utilizing Loops and Arrays in the DATA Step Arthur X. Li 17
SGF 2015 Adaptive Randomization Using PROC MCMC Qianyi Huang,
John Amrhein		 source 13
SGF 2015 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
SGF 2015 Jeffreys Interval for One-Sample Proportion with SAS/STAT Software Wu Gong source 7
SGF 2015 Selection and Transformation of Continuous Predictors for Logistic Regression Bruce S. Lund source 16
SGF 2015 Survey Sample Designs for Auditing, Fraud, and Forensics. Turner Bond source 13
SGF 2015 Using SAS/STAT Software to Implement a Multivariate Aadaptive Outlier Detection Approach to Distinguish Outliers from Extreme Values Paulo Macedo source 12
SGF 2015 Using the SAS-PIRT Macro for Estimating the Parameters of Polytomous Items Sung-Hyuck Lee source 9
SCSUG 2014 Selection and Transformation of Continuous Predictors for Logistic Regression Bruce S. Lund 13
SESUG 2014 Using SAS/STAT to implement a multivariate adaptive outlier detection approach to distinguish outliers from extreme values Paulo Macedo source 11
PHUSE EU 2014 Small Sample Bayesian Factor Analysis Dirk Heerweghm source
presentation source		 18
PHUSE EU 2014 Unuttered Questions of Statistical Programmers Aparajita Dey source
presentation source		 10
MWSUG 2014 Selection and Transformation of Continuous Predictors for Logistic Regression Bruce S. Lund 12
WUSS 2014 Practice Pattern Instrumental Variables for Comparative Effectiveness Carol Conell,
Alexander C. Flint		 source 15
WUSS 2014 Reanalysis of Ecological Data from the 1989 China Study Using SAS Enterprise Guide Thomas E. Billings source 17
SGF 2014 CMS Core Measures, the Affordable Care Act, and SAS Visual Analytics Joe Whitehurst,
Diane Hatcher		 source 16
SGF 2014 Effectively Utilizing Loops and Arrays in the DATA Step Arthur X. Li source 17
SGF 2014 Got Randomness? SAS for Mixed and Generalized Linear Mixed Models David A. Dickey source 12
SGF 2014 Healthcare Services Data Distribution, Transformation, and Model Fitting Dawit Mulugeta,
Jason Greenfield,
Tison Bolen,
Lisa Conley		 source 22
SGF 2014 Measures of Fit for Logistic Regression Paul D. Allison source 12
SGF 2014 Modeling Fractional Outcomes with SAS Wensui Liu,
Jason Xin		 source 17
SGF 2014 SAS for Bayesian Mediation Analysis Miočević Milica,
David P. MacKinnon		 source 11
SGF 2014 Volatility Estimation through ARCH/GARCH Modeling Aric LaBarr source 5
WUSS 2013 Simulation in SAS with Comparisons to R Chelsea Lofland,
Rebecca Ottesen		 source 25
WUSS 2013 The Impacts of the Canadian Wheat Board Ruling on the North American Malt Barley Markets: Demonstrating a Copula Approach to Data Simulation Heidi Schweizer source 8
WUSS 2013 User-Specified Likelihood Expressions Using NLMIXED and the GENERAL Statement Melissa McTernan,
Shelley A. Blozis		 source 4
SESUG 2013 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
SESUG 2013 Comparing SAS PROC MI and IVEware Callable Software Bruno Vizcarra,
Amang Sukasih		 source 11
PHUSE EU 2013 Multivariate Bioequivalence Shital Agawane,
Sanjukta Roy		 source
presentation source		 8
MWSUG 2013 Adventures in Path Analysis and Preparatory Analysis Brandy R. Sinco,
Phillip L. Chapman		 19
MWSUG 2013 Dealing with Data below the Detection Limit: Limit Estimation and Data Modeling Mark Bailey,
Diane K. Michelson		 21
MWSUG 2013 Effectively Utilizing Loops and Arrays in the DATA Step Arthur X. Li 17
MWSUG 2013 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey 12
MWSUG 2013 Statistical Models for Proportional Outcomes Wensui Liu,
Kelly Zhao		 17
NESUG 2013 How to Handle Binomial Proportion with Zero Frequency Tulin Shekar 11
NESUG 2013 Understanding the outliers in healthcare expenditure data Gandhi Bhattarai 15
PharmaSUG 2013 Combining Analysis Results from Multiply Imputed Categorical Data Bohdana Ratitch,
Ilya Lipkovich,
Michael O'Kelly		 source 19
PharmaSUG 2013 Effectively Utilizing Loops and Arrays in the DATA Step Arthur X. Li source 17
SGF 2013 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
SGF 2013 Integrated Framework for Stress Testing in SAS Jimmy Skoglund,
Wei Chen		 source 11
SGF 2013 Joint Modeling of Mixed Outcomes in Health Services Research Joseph C. Gardiner source 16
SGF 2013 Missing No More: Using the MCMC Procedure to Model Missing Data Fang K. Chen source 23
SGF 2013 Predicting Health Care Expenditures with the MCMC Procedure Gregory Watson source 12
NESUG 2012 A Model for Extreme Stacking of Data at Endpoints of a Distribution Robert J. Gallop 8
NESUG 2012 Introducing the FMM Procedure for Finite Mixture Models Maura E. Stokes 22
SESUG 2012 Random Effects Simulation for Sample Size Calculations Using SAS Random Effects Simulation source 11
SESUG 2012 Sample Size Determination for a Nonparametric Upper Tolerance Limit for any Order Statistic Dennis J. Beal source 8
MWSUG 2012 Effectively Utilizing Loops and Arrays in the DATA Step Arthur X. Li 17
PharmaSUG CN 2012 An Illustration of Rate Difference Estimation with SAS in Logistic Regression Yun Guo,
Victor Wu,
Xinyu Xu,
Crystal Cheng		 ppt 7
SGF 2012 Handling Missing Data by Maximum Likelihood Paul D. Allison source 21
SGF 2012 Introducing the FMM Procedure for Finite Mixture Models David Kessler,
Allen McDowell		 source 22
SGF 2012 Modeling Heavy-Tailed Distributions in Healthcare Utilization by Parametric and Bayesian Methods Joseph C. Gardiner source 15
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 SAS Essentials III: Statistics for Hamsters AnnMaria De Mars source 18
PHUSE EU 2011 Bayesian hypothesis testing for proportions Antonio Nieto,
Javier Gómez		 source
presentation source		 6
MWSUG 2011 PROC NLMIXED for Basic Non-Linear Regression Keith Dunnigan 12
NESUG 2011 Geometric Statistics in PK Analysis - Programmeres Perspective Niraj J. Pandya,
Smitha Mullapudi		 4
NESUG 2011 Statistical Approach to Biosurveillance in Crisis: What is Next? Ernest S. Shtatland,
Timur Shtatland		 14
PharmaSUG 2011 Caution: Hazards Crossing! Using the Renyi Test Statistic in Survival Analysis Matthew Davis,
Sharon X. Xie		 source 9
PharmaSUG 2011 FAQ: Issues with Efficacy Analysis of Clinical Trial Data Using SAS Sandeep Sawant,
Nehan Mohan		 source 5
PharmaSUG 2011 Implementation of Pattern-Mixture Models Using Standard SAS/STAT Procedures Bohdana Ratitch,
Michael O'Kelly		 source 10
PharmaSUG 2011 Statistical Analysis of Adverse Events in Randomized Clinical Trials Using SAS Dongsun Cao,
Xiaomin He		 source 12
SGF 2011 Exact Confidence Intervals for Risk-Adjusted Rates Versus Trouble in River City Ted Clay source 11
SGF 2011 Living with Generalized Linear Mixed Models Walter W. Stroup source 18
SGF 2011 Race/Ethnic Differences in Carotid Stiffness and Diameter Using PROC GLM Matthew S. Markert source 10
SCSUG 2010 Impact of model mis-specification on conditional power in interim survival analysis Chao L. Chen source 9
MWSUG 2010 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey 12
MWSUG 2010 JMP Simulation-Based Empirical Determination of Robust Scale Estimator and Comparison of Outlier Discrimination Performance Gennadiy Gorelik,
Tarun Chandra		 8
MWSUG 2010 Kernel Density Estimation As an Alternative to Binning of Survey Data David J. Corliss 6
SESUG 2010 Stationarity Testing in High Frequency Seasonal Time Series David A. Dickey source 10
SGF 2010 BootstrapMania!: Re-sampling the SAS Way David L. Cassell source 11
SGF 2010 Dancing the Sample-Size Limbo with Mixed Models: How Low Can You Go? Bethany A. Bell,
Grant B. Morgan,
Jason A. Schoeneberger,
Brandon L. Loudermilk,
Jeffrey D. Kromrey,
John M. Ferron		 source 11
SGF 2010 dATa qWaliti 4 Analytics David Barkaway,
Gerhard Svolba		 source 12
SGF 2010 Getting Correct Results from PROC REG Nathaniel Derby source 14
SGF 2010 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey source 12
SCSUG 2009 Risk-Based Portfolio Optimization Using SAS Wei Chen 11
SESUG 2009 A New Effect Modification P Value Test Demonstrated Manojkumar B Agravat source 14
SESUG 2009 Getting Correct Results from PROC REG Nathaniel Derby source 14
SESUG 2009 Imputation for Censored Observations in Survival Studies Allowing for a Positive Cure Rate Alan B. Cantor source 6
MWSUG 2009 Getting Correct Results from PROC REG Nathaniel Derby 14
PNWSUG 2009 Getting Correct Results from PROC REG Nathaniel Derby 14
NESUG 2009 Why We Need a Bayesian Approach to Early Detection of Epidemic Outbreaks and Financial Bubbles Using First-Order Autoregressive Models with Structural Changes Ernest S. Shtatland,
Timur Shtatland		 12
WUSS 2009 Discriminant Analysis, a Powerful Classification Technique in Predictive Modeling George C. J. Fernandez source 20
WUSS 2009 Getting Correct Results from PROC REG Nathaniel Derby source 14
WUSS 2009 Group Confidence Limit Plots Using PROC GPLOT and PROC SGPLOT Robert A. Rutledge source 10
WUSS 2009 Guidelines for Reliability, Confirmatory and Exploratory Factor Analysis Diana D. Suhr,
Mary Shay		 source 15
WUSS 2009 Validating the Bland-Altman Method of Agreement Ryan Fernandez,
George C. J. Fernandez		 source 17
PharmaSUG 2009 Detection of Multiple Outliers in UNIVARIATE Data Sets Marek K. Solak 7
SGF 2009 Analysis of Survival Data with Clustered Events Lida Gharibvand,
Lei Liu		 source 11
SGF 2009 Comparison of Features and Applications of Four Linear Models Procedures Larry W. Douglass source 19
SGF 2009 Risk-Based Portfolio Optimization Using SAS Wei Chen source 11
SGF 2009 The Problem of Regression Assumptions and the Use of Predictive Modeling Patricia B. Cerrito source 20
SGF 2009 Using SAS Software to Generate Textbook-Style Histograms Perry Watts source 18
WUSS 2008 Testing Performance of Various Confidence Interval Methods for Non-Normal Means Keiko I. Powers source 8
PHUSE EU 2008 Statistics for Non-Statisticians Shambhavi Nayak source 10
NESUG 2008 Early Detection of Epidemic Outbreaks and Financial Bubbles Using Autoregressive Models with Structural Changes Ernest S. Shtatland,
Timur Shtatland		 15
NESUG 2008 Using SAS Software to Generate Textbook-Style Histograms Perry Watts 18
PharmaSUG 2008 Approximate Simultaneous Nonparametric Confidence Intervals for All Pair-Wise Comparisons and Comparisons with a Designated (Control) Group in a One-Way Layout Using the SAS System Paul Juneau,
Aditya Sikka,
Jiawei Qiao,
Michelle Gayari		 19
PharmaSUG 2008 Bayesian Data Analysis Using %WinBUGS Lei Zhang 18
SGF 2008 Another Look at Low-Order Autoregressive Models in Early Detection of Epidemic Outbreaks and Explosive Behaviors in Economic and Financial Time Series Ernest S. Shtatland source 12
SGF 2008 Applying SAS Mixed-Model Procedures to Educational-Assessment Data Brian Patterson source 8
SGF 2008 How to Use SAS to Fit Multiple Logistic Regression Models Anpalaki J. Ragavan source 13
SGF 2008 Operational Risk: Economic Capital (EC) Modeling with a Loss Distribution Approach Sabri G. Uner source 14
SGF 2008 Use of Text Mining to Predict Patient Compliance Christiana Petrou source 15
NESUG 2007 Low-Order Autoregressive Models in Early Detection of Epidemic Out-breaks and Explosive Behaviors in Economic and Financial Time Series Ernest S. Shtatland 10
NESUG 2007 Summarizing the Power of Your Predictive Model with Receiver Operating Characteristic Curves Mithat Gonen 18
NESUG 2007 Variable Selection and Variable Transformations in SAS Enterprise Miner 5.2 Kattamuri S. Sarma 12
SESUG 2007 ROBUST_ES: A SAS Macro for Computing Robust Estimates of Effect Size Jeffrey D. Kromrey,
Kevin B. Coughlin		 source 16
WUSS 2007 Statistical Inference Illustrated Richard R. Allen source 19
PharmaSUG 2007 A Review of Propensity Score Application in Healthcare Outcome and Epidemiology Guiping Yang 24
PharmaSUG 2007 Cochran-Armitage Trend Test Using SAS Hui Liu 11
PharmaSUG 2007 The ROC Curve Method for the Assessment of Diagnostic Accuracy William F. McCarthy 12
SGF 2007 Learning What You Didn't Know about Your Data Larry W. Douglass source 16
SGF 2007 Using SAS PROC NLMIXED for Robust Regression Steven A. Chen,
Lingyun Gilbert		 source 9
PHUSE EU 2006 Basic Statistics and Commonly Encountered Statistical Tests for Statistical Programmers Maria Efstathiou source 12
PHUSE EU 2006 Self-validating data Christof Binder source 7
PHUSE EU 2006 Some Basic Statistics for Non-Statisticians Gary S. Stevens source 6
SESUG 2006 Generating Multivariate Normal Data by Using PROC IML Lingling Han source 6
SESUG 2006 Graphics for Statistical Concepts and Data Display David A. Dickey source 19
SESUG 2006 Predictive Modeling to Analyze Hospital Charges Versus Reimbursements Chakib Battioui source 12
SESUG 2006 ST09 Application of the Generalized Linear Model to the Prediction of Lung Cancer Survival Andrew Karem source 18
WUSS 2006 An Approach Finding the Right Tolerance Level for Clinical Data Acceptance Karen Walker source 5
WUSS 2006 Easy Methods to Investigate Large Datasets Using ODS Graphics and New Features in SAS 9 Aimee Foreman,
Miriam G. Cisternas		 source 10
WUSS 2006 PROC GENMOD with GEE to Analyze Correlated Outcomes Data Using SAS Tyler C. Smith,
Besa Smith		 source 14
NESUG 2006 Receiver Operating Characteristic (ROC) Curves Mithat Gonen 18
NESUG 2006 Using SAS to Find Bootstrap Estimates of Field Air Sampling Data James Slaven,
David Bartley,
Mike Rose,
Martin Harper,
Michael Andrew		 4
SUGI 2006 Exploratory or Confirmatory Factor Analysis? Diana D. Suhr source 17
SUGI 2006 Litigation Data Analysis/Auditing/ETL for BI: Triplets Separated at Birth Nicholson E. Warman source 15
SUGI 2006 Receiver Operating Characteristic (ROC) Curves Mithat Gonen source 18
SUGI 2006 SAS Graphics in Motion Barbara G. Schneider,
Kristan A. Schneider		 source 7
SUGI 2006 The Estimation of Sensitivity and Specificity of Clustered Binary Data William F. McCarthy,
Nan Guo		 source 10
SUGI 2006 Using the RAND Function in SAS for Data Simulation in Clinical Trials Wenping Zhang source 7
SCSUG 2005 Truncated Levy walks applied to the study of the behavior of Market Indices M. P. Beccar Varela,
M. Ferraro,
S. Jaroszewicz,
M. C. Mariani		 12
PHUSE EU 2005 A Practical Introduction to the Bootstrap Using the SAS System Nancy Barker source 17
MWSUG 2005 Medicare Cost Estimation For Heart Disease Fariba Nowrouzi 11
MWSUG 2005 Time Dependent Data Exploration And Preprocessing: Doing It All By SAS Joseph Twagilimana 10
WUSS 2005 A Programmer's Guide to Statistical Procedures Jim Edgington source 4
WUSS 2005 Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models Oliver Schabenberger source 20
WUSS 2005 Principal Component Analysis vs. Exploratory Factor Analysis Diana D. Suhr source 10
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
PharmaSUG 2005 An Approach Finding the Right Tolerance Level for Clinical Data Acceptance Karen Walker 6
SUGI 2005 Imputation of Categorical Variables with PROC MI Paul D. Allison source 14
SUGI 2005 Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models Oliver Schabenberger source 20
SUGI 2005 Principal Component Analysis versus Exploratory Factor Analysis Diana D. Suhr source 11
SUGI 2005 SAS Graphics in Motion Barbara G. Schneider,
Kristan A. Schneider		 source 7
SUGI 2005 Stationarity Issues in Time Series Models David A. Dickey source 17
NESUG 2004 A Fast, High-Precision Implementation of the Univariate One-Parameter Box-Cox Transformation Using the Golden Section Search in SAS/IML Charles D. Coleman 4
NESUG 2004 Perusing, Choosing, and Not Mis-using: Non-parametric vs Parametric tests in SAS Venita DePuy,
Paul Pappas		 5
SESUG 2004 An Overview of Non-parametric Tests in SAS: When, Why, and How Paul A. Pappas,
Venita DePuy		 source 5
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
MWSUG 2004 Calculation and Assessment of Inferential Test Statistics for Meta Analysis of Cross-Over Clinical Trials Hurley 8
PharmaSUG 2004 Automate Pharmacodynamic Analyses of Repeated Measure in Clinical Trials Using SAS Mixed Procedure Adeline Yeo,
Grace Li		 5
PharmaSUG 2004 Testing Normality of Data using SAS Guangbin Peng 6
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 DATA: "Getting to Know You; Getting to Know All About You" Larry W. Douglass,
Sue E. Douglass		 source 17
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
SCSUG 2003 A Beginner's Guide to Simulation Studies Barbara Foster 10
SESUG 2003 Methods of Dealing with Values Below the Limit of Detection using SAS Carry W. Croghan,
Peter P. Egeghy		 source 5
NESUG 2003 Statistics & Regression - Easier than SAS Vincent Maffei,
Michael L. Davis		 6
SEUGI 2003 Data Analysis in Supervision of Customs Adminstration:Enforcement Assessing System [presentation] Fang Bin source 31
SEUGI 2003 SAS - Analytical CRM for Electricity Utilities [presentation] Ales Rojik source 28
SEUGI 2003 Using the SAS System for Teaching and Research - A Short Review of Co-operations between Statisticians and Medical Students [presentation] Barbara G. Schneider source 59
SESUG 2002 Analysis of Dosage-Response Data in Agricultural Research K. Bondari source 6
WUSS 2002 An Overview of Remedial Tools for the Violation of Parametric Test Assumptions in the SAS System Chong Ho Yu source 6
WUSS 2002 Using SAS/IML to Create a Chi-squared Plot for Checking Normality Assumption in Multivariate Data Steven Hoff source 5
PharmaSUG 2002 Bayesian Analysis of Population Bioequivalence Using the Independence Chain Algorithm in PROC MIXED Chain Algorithm 6
SUGI 2002 Robust Regression and Outlier Detection with the ROBUSTREG Procedure Colin Chen source 13
WUSS 2001 Estimating and Interpreting Ordered Regression Models using PROC PRINT Kenneth Fernandez source 5
WUSS 2001 Graphical Depiction of Bias when Using the Probability Plot Method for Cencored Data Randall Boan source 4
WUSS 2001 What about a PROC RATES for All of Your Rates and Proportions Needs? Tyler C. Smith,
Besa Smith,
Margaret A. K. Ryan		 source 6
SESUG 2001 Understanding and Using Functions Frank C. DiIorio source 8
SCSUG 2001 Understanding and Using Functions Frank C. DiIorio 8
SEUGI 2001 Teaching statistics and the SAS System Barbara G. Schneider source 10
SUGI 2001 How the SAS System Can Be Used for Teaching Statistics Barbara G. Schneider source 4
SESUG 2000 Computation of pvalues for Multiple Comparisons with a Control in the SAS System Jean G. Orelien source 9
SESUG 2000 Dead Graphs - RIP (How Interactive Graphical EDA Techniques Can Markedly Enhance the Analysis/Display of Our Data) Dave DesJardins source 9
SEUGI 2000 Two sides to the modelling problem [presentation] Philip Whittall source 14
PharmaSUG 2000 Visualize Your Regression Analysis Fan Xu 7
SUGI 2000 Using the SAS System to Visualize Inter-Rater Agreement for Continuous Measurements in Medical Studies Barbara G. Schneider source 3
WUSS 1999 Are Histograms Giving You Fits? New SAS Software for Analyzing Distributions Nathan A. Curtis source 10
NESUG 1999 Exploratory Data Analysis: Getting to Know Your Data Michael A. Walega 8
SEUGI 1999 S.O.C.R.A.T.E.S. Simultaneous Optimal Control by Recursive and Adaptive Estimation Systsem Giacomo Patrizi source 12
SUGI 1999 Robust Outlier Identification using SAS Jack N. Shoemaker source 8
SUGI 1999 Statistical Graphics David A. Dickey source 8
NESUG 1998 Calculating Marginal Probabilities in PROC PROBIT Guy Pascale 5
NESUG 1998 Using SAS/IML to Calculate L-Moments for the Univariate Distribution Shape Parameters Skewness and Kurtosis Michael A. Walega 8
SESUG 1998 Computing a Test Statistic for Scale Parameters Based on a Jackknife Procedure Jean G. Orelien 6
SEUGI 1998 A management indicator based on Statistical Process Control data: the average percentage of non conformity items K. Hadadj,
Thierry Cembrzynski		 source 19
PharmaSUG 1998 Use of Pilot Trials as Screening Procedure in Generic Drug Product Development: Statistical Power and Influential Factors Yibin Wang 5
WUSS 1997 Monte Carlo Simulation Approach to Assess Health Care Claims Risk Zhirong Mao source 4
NESUG 1997 A Self-Organizing Median-Estimation Model Susan B. Garavaglia 9
NESUG 1997 Bootstrapped Confidence Intervals for Parametric Estimates of Survival Distribution Function Vadim Pliner 8
SESUG 1997 Analysis of Repeated Measures and Longitudinal Data Jane Pendergast 8
NESUG 1996 The Bisquare Weighted Analysis of Variance: A Technique for Nonnormal Distributions Rebecca Regeth,
William Stine		 9
MWSUG 1996 Exact Methods in the NPAR1WAY Procedure Anupama Narayanan,
Donna L. Watts		 5
SEUGI 1996 A SAS-Macro for the Welch t-Test procedure in the many-to-one design Carina Ortseifen source 5
SEUGI 1996 Procedures for planning and analysing experiments and surveys Dieter Rasch source 8
SUGI 1996 A Plan to Implement the LlMU Model by a Slight Modification of the Current MIXED Procedure Mark X. Norleans source 5
SUGI 1996 A Tutorial on Bootstrapping in the SAS System Paul A. Thompson source 10
SUGI 1996 Exact Methods in the NPAR1WAY Procedure Anupama Narayanan,
Donna L. Watts		 source 5
SUGI 1996 Imputation of Data Missing Due to Truncation --- A SAS Macro for Maximum Likelihood Estimates Using Symmetry Property Zhengyu Wang,
ViswanaThan Ramakrishnan,
John M. Davis		 source 6
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 STAT101: A Review of the Basics Judi D. Reine 5
NESUG 1995 A Methodology For Supporting Summary Selectivity Dennis J. Clague 7
NESUG 1995 A Survey of Capability Invoices Dennis W. King 11
NESUG 1995 When Chi-Square Does Not Hold: How to Analyze Tables With Low Cell Frequencies With SAS Lothar Tremmel 9
SUGI 1995 Generating Bivariate Random Numbers from Normal, Log Normal, and Gamma Distributions Using SAS Software Laurie T. Elstun source 3
MWSUG 1994 Using SAS Software to Design and Evaluate Military Standards Sampling Plans Dennis W. King 7
MWSUG 1994 Using SAS/GRAPH with any dBase Compatible Product with Microsofts' ODBC Gary Hunt 4
SESUG 1994 GRAPHICS USING GRAPmCS TO CONVEY STATISTICAL CONCEPTS AND RESULTS David A. Dickey 4
SEUGI 1994 Estimating Robust Scale Measures Using SAS Software Hans-Peter Altenburg source 7
SEUGI 1994 Multi-variate Methods for Quality Improvement with SAS/QC and SAS/GRAPH Software Gilbert Saporta,
Luan Jaupi		 source 4
SUGI 1994 Constructing Multivariate Control Charts with SAS Software Melissa A. Durfee source 9
SUGI 1994 Introduction to the UNIVARIATE Procedure Kim L. Kolbe Ritzow source 8
SUGI 1994 Properties of Power, An Educational Tool Julie Wildman-Pepe,
Susan C. Schott		 source 5
NESUG 1993 Constructing Multivariate Control Charts is SAS Melissa A. Durfee 9
NESUG 1993 Survial Data Analysis - Life Table Methods Wei Zhang 10
NESUG 1993 Use of PROC IML to Calculate L-Moments for the Univariate Distributional Shape Parameters Skewness and Kurtosis Michael A. Walega 8
SCSUG 1993 Exploring Data Using Base SAS Software Thomas J. Winn Jr. 30
MWSUG 1993 Generalized Least Squares Estimation in Heteroscedastic Linear Models George W. Pasdirtz 7
SEUGI 1993 Presentation of Study Results Histograms with Confidence Intervals [presentation] Elke Dieterich source 7
SEUGI 1993 Support of Statistical Consulting Using SAS Software Hans-Peter Altenburg source 11
SUGI 1993 The MODECLUS Procedure: Nonparametric Significance Test, for Clusters Ann Kuo source 6
MWSUG 1992 A Monte Carlo Evaluation of the Rank Transformation for Cross-Over Trials George W. Pasdirtz 6
SEUGI 1992 Cluster Characterisation wit the SAS System Factorial Analysis Solves the Problem of Synthesis Data and hte Typology of Clustering Method Christian Derquenne source 17
SEUGI 1992 Experiences from Using the SAS System in a Large Consumption Simulation Study Timo Alanko source 11
SUGI 1992 A Bootstrap Evaluation of the EM Algorithm for Censored Survival Data George W. Pasdirtz source 6
SUGI 1992 A SAS Program to Compute Factors for One-Sided Tolerance Limits for a Normal Distribution Susan Portugal source 4
SUGI 1992 Model Selection for Uncensored Lifetime Data Using SAS/IML Software Sutaip L. C. Saw source 5
SCSUG 1991 The General Structural Relation Through SAS/AF Windows: An IML Macro You Can't See Robert J. Zambarano 19
NESUG 1991 Tests for Normality and Other Goodness-of-Fit Tests Ralph D'Agostino Jr.,
Albert J. Belanger		 7
MWSUG 1991 Consistency Checking of End-User Reponse Times Ronald Croll 3
MWSUG 1991 Using Analysis of Variance to Analyze Toxicology Data Peggy T. Konopacki,
George W. Pasdirtz		 6
SEUGI 1991 Effective Use of Indexes in the SAS System Steve Beatrous source 10
SUGI 1991 A Macro for Multivariate Statistical Process Control Meng-Koon Chua source 5
SUGI 1991 Effective Use of Indexes in the SAS System Stephen M. Beatrous,
Karen Armstrong		 source 10
SUGI 1991 Introduction to Hypothesis Testing Using the Normal Distribution, the t-Test and the SAS System Arthur L. Carpenter source 5
SUGI 1991 Statistical Graphics for Multivariate Data Michael Friendly source 6
NESUG 1990 Understanding PROC UNIVARIATE Statistics Wendell F. Refior 5
SEUGI 1990 Estimating Distribution Functions with the SAS System J. Hefner,
Werner Bundschuh		 source 16
SEUGI 1990 The Analysis of Multiple Endpoints in Clinical Trials Lars Frison source 8
SUGI 1990 Nonsymmetric Bootstrap Confidence Intervals Using SAS/IML Software on a PC George W. Pasdirtz source 4
SEUGI 1989 Goodness Of Fit Tests And Goodness Of Homogeneity Tests With The SAS System C. Derquenne source 11
SUGI 1989 Normal and Nonparametric Two-sided Tolerance Limits Richard H. Browne source 3
SUGI 1988 Statistics for Ordered Categorical Data Thomas O'Gorman,
Robert F. Woolson		 source 7
SUGI 1987 Application of Intervention Analysis to Power Plant Monitoring Data Linda E. Bireley source 9
SUGI 1987 Maximum Likelihood Estimation and Simulation for One and Two Stage Sampling of Normal Mixtures Using SAS Software Kirby Jackson,
Wesley Kemmerlin		 source 4
SUGI 1986 Maximum Likelihood Estimation for a Mixture of Larval Instars Richard L. Berg source 5
SUGI 1983 Application of the Pareto Curves in Logistics Modeling Ross Dennis source 8
SUGI 1983 Randomization Tests Robert M. Hamer source 9
SUGI 1982 Approaches to Estimating Covariance Matrices with Partial Multinomial Data Mark W. Riggs,
W.B. Smith		 source 10
SUGI 1982 Robustness of Discriminant Functions Peter A. Lachenbruch source 7
SUGI 1982 SAS/GRAPH and the Geometryof Statistical Distributions Charles F. Hofacker,
Paul Hoffman		 source 8
SUGI 1982 Some Aspects of the Rank Transform in Analysis of Variance Problems Ronald L. Iman source
SUGI 1982 The Rank Transformation in Discriminant Analysis William Jay Conover,
Ronald L. Iman		 source 10
SUGI 1981 Probability Plotting in SAS Daniel M. Chilko,
E. James Harner,
Gerald R. Hobbs		 source 6

Back to keywords