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hypothesis testing

94 papers and 1 presentation; 90 titles.

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Conference × Year × Title × Authors Extras Pages
PHUSE EU 2025 Statistical Endpoints and Analysis in Diagnostic Imaging: The Matrix Has You and Your Data Srinivas Lanka,
James Sykes		 source
presentation source		 17
PHUSE US 2025 Evaluation of Open-Source Technologies in Clinical Trial Reporting Jaimin Patel source
poster source		 7
WUSS 2024 Integration of an R Language Function Within SAS to Perform Conditional Multivariate Saddlepoint Approximation Christopher Johnson source 8
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
SESUG 2023 How to use SAS POWER procedure to plan a study Xiaofeng (Steven) Liu source 4
PHUSE US 2023 Handling Multiple Adaptations in One Clinical Trial Parvee Kumar,
Shrutimita Pokhariyal		 source
presentation source		 6
PharmaSUG 2022 Win Ratio Simulation For Power Calculation Made Easy Lili Li,
Roger Chang,
Benjamin Fine,
Yu-Chen Su		 source 13
PHUSE EU 2021 Statistical Training for Health Technology Assessment Statistical Programmers Anastasia Kokoreva,
William Malbecq		 source
video
presentation source		 7
SESUG 2021 Screening, Binning, Transforming Predictors for a Generalized Logit Model Bruce S. Lund source 17
SGF 2021 Bayesian Analysis of GLMMs Using PROC BGLIMM Walter W. Stroup source
pdf		 25
SGF 2021 Reporting Correlation Coefficient Results and Plots: A SAS Macro That Does It All Zhengming Chen,
Bowen Zheng		 source
presentation		 11
SGF 2020 Using SAS Customer Intelligence 360 Multivariate Testing to Determine Incremental Campaign Revenue Mia Patterson-Brennan,
Kate Davies		 source 16
PHUSE US 2020 Data Science Project (Educating for the Future Working Group) Aldir Medeiros Filho,
Sascha Ahrweiler		 source
presentation source		 10
SESUG 2019 Medians/quartiles are shown for continuous data and counts/percentages are shown for categorical data Martha Wetzel source 5
MWSUG 2019 Sample Size and Design Considerations in Studies Assessing Non-Inferiority using Continuous Outcomes Michael G. Wilson 19
SGF 2019 Screening, Transforming, and Fitting Predictors for the Cumulative Logit Model Bruce S. Lund source 21
SGF 2019 Survival Estimates Prediction with Survey Data Bocheng Jing,
L. Grisell Diaz-Ramirez,
W. John Boscardin,
Alexandra K. Lee,
Sei J. Lee		 source 12
PHUSE US 2019 An Open Clinical Data Quality Framework Vineet Jain source
presentation source		 11
MWSUG 2018 Screening, Transforming, and Fitting Predictors for Cumulative Logit Model Bruce S. Lund 22
WUSS 2018 Agreeing to Disagree: Using SAS to Make Reasoned Decisions When Information Criteria Select Different Models Wendy Christensen source 10
WUSS 2018 Analyzing international assessments: An ensemble and model comparison approach Chong Ho Yu,
Hyun Seo Lee,
Siyan Gan,
Emily Lara		 source 13
SGF 2018 Model Selection Using Information Criteria (Made Easy in SAS ) Wendy Christensen source 12
SGF 2018 The Function Selection Procedure Bruce S. Lund source 11
SGF 2016 Exact Logistic Models for Nested Binary Data in SAS Kyle Irimata,
Jeffrey Wilson		 source 6
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 Shuffle Up and Deal! Sampling without Replacement Using SAS Daniel R. Bretheim source
presentation		 9
MWSUG 2015 SAS Software as an Essential Tool in Statistical Consulting and Research Erika Larsen,
Timothy E. O'Brien		 13
PHUSE EU 2015 Driving Quality into Clinical Trials Erik Doffagne source
presentation source		 4
PharmaSUG 2015 Means Comparisons and No Hard Coding of Your Coefficient Vector - It Really Is Possible! Frank J. Tedesco source 8
PharmaSUG 2015 Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad Arthur L. Carpenter source 9
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 To Believe or Not To Believe? The Truth of Data Analytics Results [presentation] Mike Hardin source 71
SCSUG 2014 Selection and Transformation of Continuous Predictors for Logistic Regression Bruce S. Lund 13
PHUSE EU 2014 From Gene Expression to Expression Cartography, Grade Correspondence Analysis Application in Class Comparison Studies Edyta Winciorek source
presentation source		 6
WUSS 2014 Advanced Multiprocessing Techniques for Performance Improvement of SAS Processes Viraj R Kumbhakarna source 17
SGF 2014 Automatic and Efficient Post-Campaign Analyses By Using SAS Macro Programs Justin Jia,
Amanda Lin		 source 12
SESUG 2013 Parallel processing techniques for performance improvement for SAS processes: Part II Viraj R Kumbhakarna source 17
MWSUG 2013 Advanced Multithreading Techniques for Performance Improvement of SAS Processes Viraj R Kumbhakarna 17
PharmaSUG 2013 Probability Based Criteria in Early Phase Drug Development Howard Liang source 5
SGF 2013 A SAS Macro for Computing Pooled Likelihood Ratio Tests with Multiply Imputed Data Stephen Mistler source 10
SESUG 2012 PROC TTEST (Old Friend), What Are You Trying to Tell Us? Diep T. Nguyen source 12
SGF 2012 Easily Add Significance Testing to your Market Basket Analysis in SAS Enterprise Miner Michael Faron,
Goutam Chakraborty		 source 6
SESUG 2011 Macros for Two-Sample Hypothesis Tests Jinson J. Erinjeri,
D.K. Shifflet		 source 7
PHUSE EU 2011 Bayesian hypothesis testing for proportions Antonio Nieto,
Javier Gómez		 source
presentation source		 6
NESUG 2011 Statistical Approach to Biosurveillance in Crisis: What is Next? Ernest S. Shtatland,
Timur Shtatland		 14
SCSUG 2010 Impact of model mis-specification on conditional power in interim survival analysis Chao L. Chen source 9
PharmaSUG 2010 Using SAS Proc Power to Perform Model-based Power Analysis for Clinical Pharmacology Studies Peng Sun 11
SGF 2010 Using New JMP Interactive Modules to Teach Concepts in Introductory Statistics Amy G. Froelich,
William M. Duckworth		 source 9
NESUG 2009 A SAS Macro Approach to Simultaneous Superiority and Noninferiority Testing in Clinical Trials Analysis William Chen,
Margaret M. Coughlin		 5
NESUG 2009 Using Macros to Build a Robust, Data Driven Proc GLM Ginger Lewis,
Frank J. Tedesco		 9
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
SGF 2009 Talking Past Each Other? How to Communicate with Medical Writers When Preparing Clinical Research Manuscripts for Journal Submission Scott C. Thompson,
Stephanie R. Thompson		 source 7
PHUSE EU 2008 Missing Data in Cross-Over Trials Edyta Mrowka source 7
NESUG 2008 Early Detection of Epidemic Outbreaks and Financial Bubbles Using Autoregressive Models with Structural Changes Ernest S. Shtatland,
Timur Shtatland		 15
NESUG 2008 Talking Past Each Other? How to Communicate with Medical Writers When Preparing Clinical Research Manuscripts for Journal Submission Scott C. Thompson,
Stephanie R. Thompson		 7
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
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
SESUG 2007 ROBUST_ES: A SAS Macro for Computing Robust Estimates of Effect Size Jeffrey D. Kromrey,
Kevin B. Coughlin		 source 16
WUSS 2007 Hypothesis Testing: An SQL Analogy Leroy Bracken,
Paul D. Sherman		 source 5
WUSS 2007 Statistical Inference Illustrated Richard R. Allen source 19
PNWSUG 2007 Multiple comparisons on 2xc proportions John Horne 12
PharmaSUG 2007 Hypothesis Testing: An SQL Analogy Leroy Bracken,
Boulder Creek		 5
PharmaSUG 2007 The ROC Curve Method for the Assessment of Diagnostic Accuracy William F. McCarthy 12
WUSS 2006 Mixed Model Selection via the Information-Theoretic Approch using SAS Jesse Albert Canchola,
Torsten B. Neilands		 source 7
PharmaSUG 2006 Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad Arthur L. Carpenter 9
SUGI 2006 Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad Arthur L. Carpenter source 9
WUSS 2005 Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad Arthur L. Carpenter source 9
NESUG 2004 A Regression Primer with a Touch of SAS Vincent Maffei 14
MWSUG 2004 Presenting the Binary Logit Model Effectively using SAS Hun Myoung Park 11
SUGI 2004 An Animated Guide: The Logic of Hypothesis Testing and ANOVA Russell M. Lavery source 11
SUGI 2004 Sample-Size Analysis in Study Planning: Concepts and Issues, with Examples Using PROCs POWER and GLMPOWER Ralph G. O'Brien,
John M. Castelloe		 source 12
NESUG 2003 An Animated Guide: The Logic of Hypothesis Testing and ANOVA Russell M. Lavery 7
NESUG 2003 Statistics & Regression - Easier than SAS Vincent Maffei,
Michael L. Davis		 6
SESUG 2002 FDR_TEST: A SAS Macro for Calculating New Methods of Error Control in Multiple Hypothesis Testing Jeffrey D. Kromrey,
Kristine Y. Hogarty		 source 6
NESUG 2001 Design and Validation of a Program for Random Drug Testing Donald T. Gantz 9
MWSUG 2000 Pharmaceutical Application of SAS Enterprise Miner Thomas H. Burger,
Jerry E. Plaatje,
John M. LaBore,
James K. Malone		 5
MWSUG 2000 Removing Slag to Get the Ore: Preparing Data for Mining Thomas H. Burger,
Jerry E. Plaatje,
John M. LaBore		 4
PharmaSUG 2000 Pharmaceutical Application of SAS Enterprise Miner Thomas H. Burger 4
MWSUG 1999 Using PROC MIXED in Hierarchical Linear Models: Examples from two- and three-level school-effect analysis, and meta-analysis research Sawako Suzuki,
Ching-Fan Sheu		 8
WUSS 1998 Quick Results from Statistical Analysis - An Alternative Approach to the Popular Menu Interface Systems George C. J. Fernandez source 8
SUGI 1998 Skaff and Jeff A. Sloan Design and Analysis of Equivalence Clinical T rials V ia the SAS System Pamela J. Atherton source 7
NESUG 1997 Macro to Determine the Significance of the Main Effects of Two Categorical Factors for the PHREG Procedure Robert J. Gallop 9
SUGI 1997 Visual Hypothesis Testing with Confidence Intervals Robert W. Smith source
SCSUG 1996 Fishing for Exactness Ted Pedersen 13
NESUG 1996 Macros Developed for Statistical Summary and Tabulation of Clinical Data William Sun,
David Lago,
David Handelsman,
Jack Shostak		 10
SUGI 1993 Generating Confidence in the SAS System: Confidence Intervals for Commonly Used Procedures Jose Maria J. Alvir source 4
SCSUG 1991 Analyzing Repeated Measures Designs: What You Don't Know CAN Hurt You Richard W. Cole 12
SUGI 1988 A Method for Hypotheses Testing in a Two-Way, Cross-classified Design with Missing Cells Kenneth L. Koonce,
Mattana Sanguanruang		 source 6
SUGI 1987 Full-screen Menu-driven Sample Size Programs Using SAS/AF Software J.A. Bebar,
Phil Cirulli,
L. A. Johnson		 source 5
SUGI 1986 Inference from the Incomplete Longitudinal Design: A Collection of SAS Macros James Rochon source 6
SUGI 1986 Programs for the GMANOVA and Extended GMANOVA Models Vernon M. Chinchilli,
Ronald K. Elswick		 source 8
SUGI 1985 Repeated Measures in Nonlinear Models Ronald W. Helms,
Keith E. Muller		 source 5
SUGI 1984 A SAS Macro for Performing Repeated Significance Testing in Censored Survival Analyses Gordon W. Davis,
James F. Ward		 source 6
SUGI 1980 Procedure TABLES: A Two-way Table Generator with Statistics for Control Versus Treated Comparisons George F. Fraction,
S. Stanley Young		 source

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