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155 papers and 4 presentations; 135 titles.

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Conference × Year × Title × Authors Extras Pages
PHUSE APAC 2026 Advancing Clinical Trial Analysis with Trimmed Means: Estimands, Intercurrent Events, and Regulatory Alignment Prasanth Palanisamy source
presentation source		 9
PHUSE EU 2025 Floating Points Are as Easy as 01, 10, 11! Chloe Floodgate source
presentation source		 5
MWSUG 2025 Feature Selection and Classification Using Fuzzy Logic Ross Bettinger source 39
PharmaSUG 2025 Unveiling Paradoxical Pathways: A Counterintuitive Compass for Strategic Decision-Making Anbu Damodaran source 14
SESUG 2023 Wald Tests in Mixed Models - a Warning David A. Dickey source 20
PharmaSUG 2023 Be a Lazy Validator - Let Your Code Do the Work Cara Lacson,
Ray de la Rosa,
Carol Matthews		 source 17
PHUSE EU 2022 SAS Unit Validation of Your Macros to Upgrade Calibre! Roshan Stanly,
Siji Paul		 source
presentation source		 11
WUSS 2022 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
PHUSE US 2021 SAS2P21CLI [presentation] Gustav Bernard source
video		 31
SGF 2020 A Warning about Wald Tests David A. Dickey source 20
SGF 2020 Modeling of Between - and Within-Subject Variances using Mixed Effects Location Scale (MELS) Models Qianheng Ma,
Donald Hedeker		 source 14
SGF 2020 Recent Developments in Survival Analysis with SAS Software G. Gordon Brown source 9
PharmaSUG 2020 Implementing Quality Tolerance Limits at a Large Pharmaceutical Company Steven A. Gilbert source 13
SESUG 2019 Tales from the Help Desk: Solutions to Common Macro and Macro Variable Issues Bruce F. Gilsen source 14
SESUG 2019 The Best of Both Worlds: Forecasting Using Time Series with Inputs David A. Dickey source 19
WUSS 2019 A strategy for speed Dating YuTing Tian source 21
SGF 2019 The Best of Both Worlds: Forecasting Using Time Series with Inputs David A. Dickey source 19
PHUSE EU 2018 Overlooked Tiny Numeric Representation Errors in SAS May Lead to Substantially Misleading p-Value Ying Zhou,
David Haryanto		 source
presentation source		 11
WUSS 2018 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
WUSS 2018 Better than Average: Calculating Geometric Means Using SAS Kim Roenfeldt source 9
SGF 2018 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
SGF 2018 Innovating Government Decision-Making through Analytics Steve Bennett source 19
SESUG 2017 Tales from the Help Desk: Solutions to Common DATA Step Tasks Bruce F. Gilsen source 19
PHUSE EU 2017 Health Technology Assessment PRO Least Squares Mean Difference Programming Techniques Using SAS Yirong Cao,
Siory Traoré		 source
presentation source		 11
MWSUG 2017 AIR Binder 2.0: A Dynamic Visualization, Data Analysis and Reporting SAS Application for Preclinical and Clinical ADME Assays, Pharmacokinetics, Metabolite Profiling and Identification Hao Sun,
Kristen Cardinal,
Richard Voorman		 26
WUSS 2017 Many Means to a Mean Shannon Pileggi source 9
SGF 2017 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
SGF 2017 Five Things You Didn't Know You Could Do with SAS Visual Analytics Varsha Chawla,
Renato Luppi		 source 16
SGF 2017 Good Programming Practice When Working Across SAS on a PC and SAS on UNIX James Zhao source 5
SGF 2017 Tales from the Help Desk: Solutions to Common DATA Step Tasks Bruce F. Gilsen source 19
SCSUG 2016 Good Programming Practice when Working Across PC SAS and Unix SAS James Zhao source 5
PHUSE EU 2016 Fundamental Advice to Save Time in SAS Programming Mickael Borne source
presentation source		 11
WUSS 2016 Demystifying the CONTRAST and ESTIMATE Statement Hector Lemus source 13
PharmaSUG 2016 "I Want the Mean, But not That One!" David W. Franklin source 5
SGF 2016 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
SGF 2016 PROC GLIMMIX as a Teaching and Planning Tool for Experiment Design Walter W. Stroup source
zip		 19
SESUG 2015 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
SESUG 2015 Adaptive Fractional Polynomial Modeling in SAS George J. Knafl source 10
SGF 2015 SAS Analytics plus Warren Buffett's Wisdom Beats Berkshire Hathaway! Huh? Bruce Bedford source 20
SGF 2015 Some of the Most Useful SAS Functions Ronald P. Cody source 16
SGF 2015 Using SAS/STAT Software to Implement a Multivariate Aadaptive Outlier Detection Approach to Distinguish Outliers from Extreme Values Paulo Macedo source 12
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 Exploring the Use of Negative Binomial Regression Modeling for Pediatric Peripheral Intravenous Catheterization Jennifer Mann,
Jason Brinkley,
Pamela Larson		 source 7
SESUG 2014 Using SAS/STAT to implement a multivariate adaptive outlier detection approach to distinguish outliers from extreme values Paulo Macedo source 11
WUSS 2014 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
WUSS 2014 SAS Essentials III (or How to Succeed in SAS Without Really Trying) Tasha Chapman source 15
PharmaSUG 2014 What do you mean 0.3 doesn-t equal 0.3? Numeric Representation and Precision in SAS and Why it Matters Paul Stutzman source 6
SGF 2014 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
SGF 2014 Got Randomness? SAS for Mixed and Generalized Linear Mixed Models David A. Dickey source 12
SESUG 2013 KAPLAN-MEIER ANALYSIS: A PRACTICAL GUIDE FOR PROGRAMMERS Madhi Saranadasa source 7
MWSUG 2013 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey 12
NESUG 2013 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody 16
SGF 2013 Assessing Model Adequacy in Proportional Hazards Regression Michael G. Wilson source 36
NESUG 2012 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody 16
NESUG 2012 Loop-Do-Loop Around Arrays Wendi L. Wright 17
SESUG 2012 Mastering the Basics: Preventing Problems by Understanding How SAS Works Imelda C. Go source 14
SGF 2012 A Generalized Approach to Estimating Sample Sizes Wuchen Zhao,
Arthur X. Li		 source 7
SGF 2012 A Simple Way to Program Power Calculations Robert Lew,
Hongsheng Wu		 source 16
SGF 2012 A Survey of Some of the Most Useful SAS Functions Ronald P. Cody source 16
SGF 2012 Tales from the Help Desk 5: Yet More Solutions for Common SAS Mistakes Bruce F. Gilsen source 8
SESUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Fang K. Chen		 source 20
WUSS 2011 Estimating Sample Size through Simulations Wuchen Zhao source 6
WUSS 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes source 20
PHUSE EU 2011 Numeric precision and representation issues. Why 4.8 - 4.6 is not always equal to 0.2. Nicola Tambascia source
poster source		 11
MWSUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Fang K. Chen,
Ying So		 20
MWSUG 2011 Software Time Estimation: Are We There Yet? Jack E. Fuller 7
NESUG 2011 Cash-Flow Modeling for Fixed Income Securities? A New Approach Using SAS Risk Management for Banking Solution Sunny Zhang 14
NESUG 2011 Computing Area Under the Curve (AUC) Using Nested Arrays Michael Pannucci 7
NESUG 2011 Geometric Statistics in PK Analysis - Programmeres Perspective Niraj J. Pandya,
Smitha Mullapudi		 4
NESUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes 20
NESUG 2011 Tales from the Help Desk 5: Yet More Solutions for Common SAS Mistakes Bruce F. Gilsen 8
PharmaSUG 2011 Estimating Sample Size through Simulations Wuchen Zhao,
Arthur X. Li		 source 6
SGF 2011 Cash Flow Modeling for Fixed-Income Securities: A New Approach Using the SAS Risk Management for Banking Solution Sunny Zhang,
Jeff Hasmann,
Thomas Kimner		 source 14
SGF 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Robert N. Rodriguez,
Funda Güneş		 source 20
MWSUG 2010 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey 12
MWSUG 2010 Using SAS to Assess and Model Time-to-Event Data with Non-Proportional Hazards Michael G. Wilson 24
PharmaSUG 2010 Assessing superiority/futility in a clinical trial: from multiplicity to simplicity with SAS Philip J. d'Almada,
Laura Aberle		 9
SGF 2010 An Analytical Approach to Determining Customer Value in the Property and Casualty Insurance Industry Roosevelt Mosley source 20
SGF 2010 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey source 12
SESUG 2009 A Macro for Computing the Mantel-Fleisś Criterion Brandon L. Welch,
Jane Eslinger,
Robert F. Woolson		 source 9
PHUSE EU 2009 Standardization of data base: interaction between Biostatistics and Clinical Data Management [presentation] Céline Tendero source 12
PharmaSUG 2009 Fitting Compartmental Models to Multiple Dose Pharmacokinetic Data using SAS PROC NLMIXED Jing Su,
Peng Sun,
Xiaodong Li,
Alan H. Hartford		 9
SGF 2009 A SAS Macro for Adaptive Regression Modeling George J. Knafl source 9
SGF 2009 Stationarity Testing in High Frequency Seasonal Time Series David A. Dickey source 8
SGF 2009 Testing your SAS Code against Known Data Sharon Schiro source 4
SGF 2009 Using SAS to Analyze System Performance Metrics Chris Helwig source 9
SESUG 2008 Rounding in SAS: Preventing Numeric Representation Problems Imelda C. Go source 6
SESUG 2008 SAS Resources: Places to Find Answers and Ideas Nat H. Wooding Jr. source 7
MWSUG 2008 Loop-Do-Loop Around Arrays Wendi L. Wright 17
SGF 2008 Modeling Zero-Inflated Count Data with Underdispersion and Overdispersion Adrienne Tin source 11
MWSUG 2007 Two Macros for Producing Graphs to Assess Agreement Between Two Variables David W. Meek 5
PHUSE EU 2007 Consideration of endogenous backgrounds in PK analyses Fritz Schindel source 10
SGF 2007 Latent Class Analysis in SAS-Promise, Problems, and Programming David M. Thompson source 12
SGF 2007 Using SAS PROC NLMIXED for Robust Regression Steven A. Chen,
Lingyun Gilbert		 source 9
SUGI 2006 Computation of Correlation Coefficient and Its Confidence Interval in SAS David Shen,
Zaizai Lu		 source 6
SUGI 2006 Offer Assignment with SAS Marketing Optimization Manoj Chari source 18
SUGI 2006 Performing Latent Class Analysis Using the CATMOD Procedure David M. Thompson source 8
PHUSE EU 2005 Signal Detection in EudraVigilance Jim Slattery source 5
WUSS 2005 A Comparison of Missing Data Handling Methods Catherine Truxillo source 20
NESUG 2005 Loop-Do-Loop Around Arrays Wendi L. Wright 16
SUGI 2005 Imputation of Categorical Variables with PROC MI Paul D. Allison source 14
SUGI 2005 Maximum Likelihood Parameter Estimation with Incomplete Data Catherine Truxillo source 19
NESUG 2004 A Regression Primer with a Touch of SAS Vincent Maffei 14
MWSUG 2004 Unleashing the Power of SAS Functions to Manipulate and Manage Data Ben Cochran 5
PharmaSUG 2004 SASUnit: Automated Testing for SAS Gregory S. Barnes Nelson 15
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
NESUG 2003 Quality Control With SAS Numeric Data Paul Gorrell 11
SEUGI 2003 SAS Marketing Optimization [presentation] Neil Hayward source 28
VIEWS 2003 Analysing Binary Outcome Data from a Crossover Design Study using the SAS System Anna Pictor presentation 8
NESUG 2002 Numeric Data in SAS: Guidelines For Storage and Display Paul Gorrell 7
WUSS 2002 Doing More with Proce FREQ Using Options and ODS Richard Severino source 13
SEUGI 2001 A web interface for portfolio risk optimisation with SAS System Giuseppe Marcon,
Maria Rita Pepe		 source 14
SEUGI 2001 The Automated Scoring Application Project [presentation] Carl A. Touchie source 22
SUGI 2001 Analysis of Count Data Using SAS Alexander Pedan source 6
NESUG 2000 Think Outside the Box: Analysis of Categorical Data Margaret Ann Goetz 5
WUSS 2000 PROC FREQ: It's More Than Counts Richard Severino source 10
SUGI 2000 PROC FREQ: It's More Than Counts Richard Severino source 10
SESUG 1999 Do We Know How to Function? Janet E. Stuelpner source 7
SUGI 1999 A Generalized Rounding Alternative Jeff P. Palmer source 3
SUGI 1999 Introduction to SAS Functions Neil H. Howard source 7
NESUG 1998 A Simulation Study of Estimators In Stratified Proportional Hazard Models Hsi-Wen Liao 8
SESUG 1998 Software for GEE: PROC GENMOD and SUDAAN Babubhai V. Shah 5
NESUG 1997 SAS Versatility: Using SAS Software to Analyze and Report Students' Evaluations of Faculty Gail Wisan 10
NESUG 1996 BIOEQ4: Bioequivalence Macro to Create both Table and SAS data set according to the FDA Bioequivalence Guidelines Issued in 1992 Mary Kay McPherson 6
MWSUG 1996 Are you FUNCTIONally Literate? Allan M. Kominek 6
MWSUG 1996 Using SAS Genmod Procedure to fit Diagonal Class Models to Square Contingency Tables Having Ordered Categories H. Bayo Lawal 12
MWSUG 1995 Simulation and Bootstrapping in the SAS System: A tutorial using PROC IML Paul A. Thompson 10
NESUG 1995 Implementing a Modified Method of Weighted/Unweighted Means Robert H. Brown 9
WUSS 1995 Datalog: Motorola's Advanced Semiconductor Fab Data Collection and Control System Using SAS/AF & SAS/SCL Jim Gutt,
Fred Berneche		 source 8
SEUGI 1994 Cross Validation of Nearest-neighbour Discriminant Analysis Allan White source 15
SUGI 1994 Discovering the FUN in SAS Functions Neil H. Howard source 6
SUGI 1994 Gems in the FORMAT Procedure Aileen L. Yam source 6
NESUG 1993 An Introduction to SAS Functions Ronald P. Cody 6
SUGI 1993 Computing and Plotting First-Order Spatial Autocorrelation Statistics Using SAS Larry J. Layne source 6
SUGI 1993 DATA Step Kappa Computations Peter P. Gaccione source 6
SUGI 1993 Discovering the FUN in SAS Functions Neil H. Howard source 5
SCSUG 1992 Discovering the FUN in Functions Neil H. Howard 5
SCSUG 1992 Testing the Additivity Assumption in Repeated Measures Robert J. Zambarano 11
NESUG 1992 Use of Code Generation in a Standard Edit Check Facility Robert Musterer 4
MWSUG 1992 A Monte Carlo Evaluation of the Rank Transformation for Cross-Over Trials George W. Pasdirtz 6
NESUG 1991 An Introduction to SAS Functions Ronald P. Cody 10
MWSUG 1991 An Introduction to SAS Functions Ronald P. Cody 10
SUGI 1991 An Introduction to SAS Functions Ronald P. Cody source 6
SUGI 1991 Implementation in the SAS System of the Bradu and Mundlak Minimum Variance Unbiased Estimator of the Mean of a Lognormal Distribution Sally Powell source 5
SUGI 1990 SIGNIF, a C Function to Compute Significant Digits B. M. Horwedel,
J. E. Horwedel		 source 3
SUGI 1990 Unbiased Estimators of Shrinkage for Chi-Square Based Measures of Association Richard F. Haase source 6
SUGI 1990 Using the SAS System to Prepare Hospital Inpatient Claims Data for Case-Mix Analyses Daniel R. Bretheim source 8
SUGI 1989 Analysis of the Properties of Two Binomial Random Number Generators J. Paul Costiloe,
Andrew J. Cucchiara,
Susan J. Kenny		 source 3
SUGI 1989 The Statistical-Model Toolbox: A SAS Macro System David S. Frankel source 6
SUGI 1988 Analyzing for Independence of Sequential Events with Markov Chain Models with the SAS System for Personal Computers Paul F. Steblein source 5
SUGI 1988 Comparison of Quantile Estimation Methods in the UNIVARIATE Procedure Robert F. Carsel,
Rudolph S. Parrish		 source 6
SUGI 1988 Forecasting the Economy Using the Composite Leading Index, Its Components, and a Rational Expectations Alternative Lung-ho Lin,
Steven C. Myers		 source 6
SUGI 1987 Comparison of Data Processing Procedures for the Statistical Analysis of Visual Field Data Katherine Freeman source 4
SUGI 1987 Estimation of Variance Components in Mixed Factorial Models Including Model-based Diagnostics Ronald H. Bremer,
John W. Green,
Ronald R. Hocking		 source 6
SUGI 1985 PROC ELPRINT: a Print Procedure that Supports Footnotes and Outlier Detection George F. Fraction,
Jeffrey B. Shotts,
Richard E. Skrzynecki,
S. Stanley Young		 source 6
SUGI 1983 Overview of Categorical Data Analysis Methods Ingrid A. Amara,
Susan Atkinson,
Gary G. Koch,
William M. Stanish		 source 10
SUGI 1982 The Expected Value of Guttman's Coefficient of Reliability Based on the Multinomial Distribution John A. McKillip,
Janice L. Weener		 source
SUGI 1981 Quirks in Linear Model Calculations for Unbalanced Data Shayle R. Searle source 8
SUGI 1979 New Features in GLM and VARCOMP James H. Goodnight source 10

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