HOME QUICK SEARCH AUTHORS KEYWORDS HELP BUGS

effect size

108 papers and 1 presentation; 109 titles.

Back to keywords

Conference × Year × Title × Authors Extras Pages
PharmaSUG CN 2026 Interactive Clinical Plot Gallery with Cross-Plot Subject Linking in R Shiny You (Lea) Lyu source 10
PharmaSUG 2026 Schema-Preserving Generation of Clinical TLF Templates and Executable R Code via Iterative LLM-Guided Debugging Jaime Yan,
Ming Yang		 source 18
PharmaSUG 2026 Women Leadership in AI-Driven Clinical Programming: Navigating Intersectionality and Innovation Lida Gharibvand source 31
PHUSE APAC 2026 Crafting a recipe for success : Aligning Target Product Profiles and study design to ensure statistical significance translates to clinical relevance and role of DGF Soumitra Kar,
Novo Nordisk GBS		 source
presentation source		 9
PHUSE EU 2025 Showcasing a Shiny Tool for Evaluating Biomarkers for Derisking Clinical Trials Stefan Thoma source
presentation source		 9
WUSS 2025 The Role of Congruity and Gendered Leadership Expectations in Higher Education: A Meta-Analysis of Bias and Leadership Evaluations Among Women Leaders Mehrnoosh Golshahifar source 13
PHUSE US 2025 More Than a p-Value: Understanding the Differences Between Clinical and Statistical Significance Jasperlynn Kao,
Elnaz Ghadimi		 source
presentation source		 4
SESUG 2024 An Integrative Analyzer for Publicly Available COVID-19 Genome-wide Association Studies Zhongshan Cheng source 14
PharmaSUG 2024 Generative Artificial Intelligence in sample size estimation - challenges, pitfalls, and conclusions Igor Goldfarb,
Vikas Sharma		 source 26
PHUSE EU 2023 Optimizing Clinical Trial Design with Real-Time Sample Size Calculation and Enrollment Projection: A Shiny Dashboard Solution Dony Sabu source
presentation source		 5
PHUSE EU 2023 Size matters - sample size calculation with SAS and R Fenja Seither source
presentation source		 4
PharmaSUG 2023 Guidelines for the Statistical Analysis in German Dossier Submissions Meiling Gao,
Xi Qian,
Hui Mao		 source 8
PharmaSUG 2023 Meta-Analysis in R Lin Gu source 8
PHUSE EU 2022 Adaptive Design - Better Bend Than Break [presentation] Albin John,
Athira Sudhakar		 source 15
PharmaSUG 2022 Analysis of sample size calculations in clinical trial - errors, pitfalls and conclusions Igor Goldfarb,
Ritu Karwal,
Xiaohua Shu		 source 14
SGF 2021 Do I Have Enough? - A Macro for Sample Size Determination in Simple and Multiple Logistic Regression Carl P. Wilson source
sas		 10
SGF 2020 Sample Size Calculations Using SAS, R, and nQuery Software Jenna Cody source 19
WUSS 2019 Statistical Power Calculations Using SAS Software Russell M. Lavery source 18
PharmaSUG 2019 Practical Perspective in Sample Size Determination Bill Coar source 16
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
MWSUG 2018 A Macro to Calculate Sample Size for Studies Using the Proportional Time Assumption Brian Mosier,
John Keighley,
Milind Phadnis		 7
SGF 2018 SAS Macros for Computing Causal Mediated Effects in Two- and Three-Wave Longitudinal Models David P. MacKinnon,
Matthew Valente		 source 18
SESUG 2017 Using SAS to Employ Propensity Score Matching in an Institutional Research Office to Create Matched Groups for Outcomes Analyses Bobbie E. Frye,
James E. Bartlett		 source 19
PHUSE EU 2017 Comparison of Different Methods of Detecting Publication Bias Janhavi Kale,
Anwaya Nirpharake		 source
presentation source		 10
PHUSE EU 2017 Visualizing Multiple Endpoints: Extending the Use of Forest Plots in Clinical Trials James R. Johnson,
Mark Jaros		 source
presentation source		 10
PharmaSUG 2017 Multiplicity Controlled Analyses Using SAS/IML Xingxing Wu,
Hangtao Xu		 source 8
SGF 2017 Cold-Start Solution to A/B Testing Using Adaptive Sample Size Modification Bo Zhang,
Liwei Wang		 source 9
SGF 2017 SAS Macros for Computing the Mediated Effect in the Pretest-Posttest Control Group Design David P. MacKinnon source 10
SCSUG 2016 An Ad Hoc Method for Computing Pseudo Effect Size for Mixed Models Kathryn G. Tippey,
Michael T. Longnecker		 source 7
SESUG 2016 In the Pursuit of Balanced Groups: A SAS Macro for an Adaptive Randomization Test Tyler Hicks,
Jeffrey D. Kromrey		 source 9
WUSS 2016 An Animated Guide: Incremental Response Modeling in Enterprise Miner Russell M. Lavery source 19
WUSS 2016 Knowledge is Power: The Basics of SAS Proc Power Elaina Gates source 5
SGF 2016 Multiple-Group Multiple Imputation: An Empirical Comparison of Parameter Recovery in the Presence of Missing Data using SAS Patricia Rodríguez de Gil,
Jeffrey D. Kromrey		 source 15
SGF 2016 PROC GLIMMIX as a Teaching and Planning Tool for Experiment Design Walter W. Stroup source
zip		 19
SESUG 2015 A SAS Macro to Investigate Statistical Power in Meta-analysis Jin Liu,
Fan Pan		 source 5
SESUG 2015 Using SAS to Create an Effect Size Resampling Distribution for a Statistical Test Peter S. Wludyka source 10
SGF 2015 GEN_OMEGA2: A SAS Macro for Computing the Generalized Omega-Squared Effect Size Associated with Analysis of Variance Models Anh P. Kellermann,
Yi-Hsin Chen,
Jeffrey D. Kromrey,
Thanh Pham,
Patrice Rasmussen,
Patricia Rodríguez de Gil,
Jeanine L. Romano		 source 12
SESUG 2014 Impact of Q-matrix Misspecification on Cognitive Attribute Estimation in the Crossed Random Effects LLTM Model with the SAS GLIMMIX Procedure Yi-Hsin Chen 11
SESUG 2014 Modeling Cognitive Processes of Learning with SAS Procedures Isaac Y. Li,
Yi-Hsin Chen,
Chunhua Cao,
Yan Wang		 source 11
PHUSE EU 2014 PROC EASTMONITOR - A SAS Add-on for Monitoring Adaptive Clinical Trials Sheetal Solanki,
Ajay Sathe		 source
presentation source		 15
PharmaSUG 2014 %ME: A SAS Macro to Assess Measurement Equivalence for Patient-Reported Outcome Measures Qinlei Huang source 8
PharmaSUG 2014 Risk-Based Approach to Identifying and Selecting Clinical Sites for Sponsor's Preparation for FDA/EMA Inspection Xiangchen (Bob) Cui source 21
SGF 2014 Parameter Estimation of Cognitive Attributes Using the Crossed Random-Effects Linear Logistic Test Model with PROC GLIMMIX Chunhua Cao,
Yan Wang,
Yi-Hsin Chen,
Isaac Y. Li		 source 12
SESUG 2013 GEN_OMEGA2: A SAS Macro for Computing the Generalized Omega-Squared Effect Size Associated with Analysis of Variance Models Squared Effect Size Associated source 10
MWSUG 2013 Power Trip: A Road Map of PROC POWER Melissa Plets,
Julie Strominger		 4
PharmaSUG 2013 Experiences in Preparing Summary Level Clinical Site Data within NDA's Submission for FDA's Inspection Planning Xiangchen (Bob) Cui source 19
SGF 2013 DICHOTOMIZED_D: A SAS Macro for Computing Effect Sizes for Artificially Dichotomized Variables Aarti P. Bellara,
Harold Holmes,
Isaac Y. Li,
Jeanine L. Romano,
Jeffrey D. Kromrey,
Patrice Rasmussen,
Patricia Rodríguez de Gil,
Yi-Hsin Chen		 source 12
SGF 2013 GEN_ETA2: A SAS Macro for Computing the Generalized Eta-Squared Effect Size Associated with Analysis of Variance Models Anh P. Kellermann,
Jeanine L. Romano,
Jeffrey D. Kromrey,
Patrice Rasmussen,
Patricia Rodríguez de Gil,
Thanh Pham,
Yi-Hsin Chen		 source
pdf		 10
PHUSE EU 2012 East6: Software for Designing, Simulating and Monitoring Group Sequential Trials Hrishikesh Kulkarni,
Sheetal Solanki		 source
presentation source		 12
SESUG 2012 A SAS macro to compute effect size (Cohen's d) and its confidence interval from raw survey data Rajendra P source 12
WUSS 2012 Sample Size Calculation and Power Analysis for Design of Experiments Using Proc Glmpower Chii Dean source 10
PharmaSUG 2012 Application of Meta-Analysis in Clinical Trials Marina Komaroff source 7
SGF 2012 A SAS Macro for Computing Point Estimates and Confidence Intervals of Effect Sizes Associated with Mediation Analysis Merlande Petit-Bois,
Thanh V. Pham,
Eun Kyeng Baek,
Jeffrey D. Kromrey		 source 12
SGF 2012 Are You in Need of Validation? Psychometric Evaluation of Questionnaires Using SAS Eric P. Elkin source 9
SGF 2012 MV_META: A SAS Macro for Multivariate Meta-Analysis Julie A. Gloudemans,
Corina M. Owens,
Jeffrey D. Kromrey		 source 15
SGF 2012 Standardized Difference: An Index to Measure the Effect Size between Two Groups Dongsheng Yang,
Jarrod E. Dalton		 source 6
SESUG 2011 CI_MEDIATE: A SAS Macro for Computing Point and Interval Estimates of Effect Sizes Associated with Mediation Analysis Thanh V. Pham,
Eun Kyeng Baek,
Merlande Petit-Bois,
Jeffrey D. Kromrey		 source 10
SESUG 2011 MV_META: A SAS Macro for Multivariate Meta-Analysis Julie A. Gloudemans source 12
PHUSE EU 2011 Architect - A Platform for Design and Analysis Software for Clinical Trials Shashank Maratkar source 12
MWSUG 2011 A Macro to Estimate Sample-size Using the Non-Centrality Parameter of a Non-Central F-Distribution Matthew C. Fenchel,
Raouf S. Amin,
Rhonda D. VanDyke		 20
NESUG 2011 Combining the Results from Multiple SAS PROCs into a Publication Quality Table Robert Kabacoff 20
PharmaSUG 2011 Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterprise Miner Patricia B. Cerrito source 15
SGF 2011 Comparison of Imputation Methods to Examine Mediator Effect for Social Support of Mothers of Mentally Ill Children Abbas S. Tavakoli,
Kathleen Scharer,
James Hussey		 source 7
WUSS 2010 The Last Shall Be First: Matching Patients by Choosing the Least Popular First Stefanie Millar source 9
MWSUG 2010 Evaluation of Methods to Determine Optimal Cut Points for Predicting Mortgage Default Valentin Todorov,
Douglas Thompson		 11
MWSUG 2010 Power to Detect Therapist Effects in Randomized, Controlled Trials of Interventions in Clinical Psychology Douglas Thompson,
Fary Cachelin,
Ruth Striegel-Moore,
Terry Wilson		 16
SESUG 2010 ES_ANOVA: A SAS Macro for Computing Point and Interval Estimates of Effect Sizes Associated with Analysis of Variance Models Jeffrey D. Kromrey,
Bethany A. Bell		 source 10
PharmaSUG 2009 Adhoc Analysis of Site By Treatment Interaction Alan Davis 9
SESUG 2008 A SAS Macro for Statistical Power Calculations in Meta-Analysis Guy Cafri source 8
SESUG 2007 ROBUST_ES: A SAS Macro for Computing Robust Estimates of Effect Size Jeffrey D. Kromrey,
Kevin B. Coughlin		 source 16
PNWSUG 2007 An Introduction to Statistical Power Calculations for Linear Models with SAS 9.1 Robin High 17
SESUG 2006 PO04 PUB_BIAS: A SAS Macro for Detecting Publication Bias,
Gianna Rendina-Gobioff,
Jeffrey D. Kromrey		 source 17
SUGI 2006 %hlmdata and %hlmrmpower: Traditional Repeated Measures vs. HLM for Multilevel Longitudinal Data Analysis?Power and Type I Error Rate Comparison Hua Fang source 11
SUGI 2006 METAPERM2: A SAS Macro for Permutation Tests of Linear Models in Fixed and Random Effects Meta-Analyses Jeffrey D. Kromrey,
Kristine Y. Hogarty		 source 10
SUGI 2006 Problems Commonly Associated with Forest Plots Addressed Using High Resolution Graphics in SAS Gary A. Foster,
Charles H. Goldsmith		 source 8
SESUG 2005 _05 Robustness in Meta-analysis: A Macro for Computing Point Estimates and Confidence Intervals for Standardized Mean Differences,
Cliff's Delta,
Kristine Y. Hogarty,
Jeffrey D. Kromrey,
John M. Ferron		 source 10
PharmaSUG 2005 Power Analysis and Sample Size Estimation using Bootstrap Xiaomei Peng,
Guangbin Peng,
Celedon Gonzales		 7
SUGI 2005 A Macro for Computing Point Estimates and Confidence Intervals for Mahalanobis Distance Kristine Y. Hogarty,
Jeffrey D. Kromrey,
Melinda R. Hess,
John M. Ferron		 source 10
MWSUG 2004 SAS Code for Estimating the Confidence Interval for a Standardized Effect Size S. Jonathan Mends-cole 6
PharmaSUG 2004 PROC POWER: V9.1 Deborah J. Bauer 6
SUGI 2004 PROC POWER in SAS 9.1 Deborah J. Bauer,
Russell M. Lavery		 source 7
SESUG 2003 EFFECT_CI: A SAS Macro for Constructing Confidence Intervals Around Standardized Mean Differences Around Standardized Mean Differences source 6
SESUG 2003 METAPERM: A SAS Macro for Permutation Tests of Linear Models in Meta-analysis Jeffrey D. Kromrey,
Kristine Y. Hogarty		 source 6
SUGI 2002 SAS Tools for Meta-analysis Robert M. Hamer,
Pippa M. Simpson		 source 6
WUSS 2001 Using SAS Functions for Power Analysis and Sample Size Estimation Mel Widawski source 5
SCSUG 2001 Using the SAS System to Demonstrate the Equivalence of On-line and On-Papeer Survey Adminstration across Levels of Raters Jim Penny 5
SCSUG 2001 Using the SAS System to Study the Gender and Level Measurement Equivalence of a Multi-rater Survey Jim Penny 6
SUGI 2001 An Introduction to Computing and Interpreting Cronbach Coefficient Alpha in SAS Chong Ho Yu source 6
SUGI 2001 Probabilistic Hindsight: A SAS Macro for Retrospective Statistical Power Analysis Kristine Y. Hogarty,
Jeffrey D. Kromrey		 source 10
SUGI 2000 Analysis of Environmental Data Using JMP Andy Mauromoustakos source 6
SUGI 2000 Robust Effect Size Estimates and Meta-Analytic Tests of Homogeneity Kristine Y. Hogarty,
Jeffrey D. Kromrey		 source 6
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
SUGI 1999 A SAS Module/Macro Program for Computing Statistical Power Curves for Detecting Treatment Effect David Olaleye source 6
SUGI 1999 Using SAS to Conduct Pilot Studies: An Instructors Guide Sean W. Mulvenon,
Ronna C. Turner		 source 6
SUGI 1998 A Tour of UnifyPow: A SAS Module/Macro for Sample-Size Analysis Ralph G. O'Brien source 10
SUGI 1998 Using a SAS Macro to Create Unique Statistical Output Sean W. Mulvenon,
M. Austin		 source 6
SESUG 1996 Discriminant Analysis via Statistical Packages Carl J Huberty,
Laureen L. Lowman		 11
SUGI 1996 Determining the Expected Mean Squares and Subsequent Power Calculations: An Application to Biostatistics Jon M. Lindenauer,
Eric C. Burdge,
John W. Philpot		 source 5
SUGI 1996 Managing Data for a Long-Term Clinical Research Study with SAS/ASSIST Software Ioannis C. Dimakos source 1
NESUG 1995 Power Analysis: Prospective Use of a SAS Macro John F. Walsh 3
SUGI 1994 Application of Random-Effects Model for Categorical Data to Antiemetic Clinical Trials in Cancer Patients Regina Louie,
Alex Yaroshinsky		 source 5
SUGI 1993 Using SAS/IML Software to Generate Odds Ratios and Associated Intervals Based on Logistic Regression Output Catherine O. Cowie,
Danita D. Byrd-Hol,
Keith F. Rust		 source 6
SUGI 1992 POWER: A Simple Macro for Power and Sample Size Calculations Kristin Latour source 5
SUGI 1992 SAMP/AID - Sampling Applications and Demonstrations in Learning Statistics Efraim Darom source 5
SUGI 1992 Using SAS Software to Evaluate the Power of Alternative Data Analytic Methods for Repeated Measures Designs Thomas C. Chenier source 6
SUGI 1991 Techniques for Assessing Differential Item Performance on Achievement Tests Delwyn L. Harnisch source 6
SUGI 1988 Power Analysis in an Enhanced GLM Procedure: What It Might Look Like Ralph G. O'Brien,
S. Paul Wright		 source 6
SEUGI 1986 SAS Macro "Meta" for Combining Independent Eestimators for Effect Size Efraim Daron source 12
SUGI 1983 Effect Size and Power in Two Factor Nonorthogonal ANOVA: A Monte Carlo Investigation Margaret J. Martin,
William A. Powers		 source

Back to keywords