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proc power

43 papers and 1 presentation; 41 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 Beyond a P-Value Vending Machine: Becoming a Research Partner, Not a Service Provider Mehrnaz Siavoshi source 10
MWSUG 2024 What if Proc Power Can't Help? Calculating Power via Simulation, Example with Count Regression Brandy R. Sinco,
Joceline Vu,
Pasithorn Suwanabol		 source 16
WUSS 2024 Simulation in SAS for Estimating Power [presentation] Michael Williams source 18
PHUSE EU 2023 Know Your Environment Will Greenway source
presentation source		 6
PHUSE EU 2023 Size matters - sample size calculation with SAS and R Fenja Seither source
presentation source		 4
SESUG 2023 How to use SAS POWER procedure to plan a study Xiaofeng (Steven) Liu source 4
SGF 2020 Sample Size Calculations Using SAS, R, and nQuery Software Jenna Cody source 19
SGF 2020 Surviving the Cox Proportional Hazards Model with the POWER Procedure Rachel R. Baxter source 6
SGF 2020 Testing Hypotheses for Equivalence and Non-inferiority with Binary and Survival Outcomes Joseph C. Gardiner source 23
MWSUG 2019 Sample Size and Design Considerations in Studies Assessing Non-Inferiority using Continuous Outcomes Michael G. Wilson 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 Sample Size: A Couple More Hints to Handle it Right Using SAS and R Andrii Artemchuk source
presentation source		 11
PHUSE US 2018 Interim Survival Analysis Across 3 Platforms Venita DePuy source
presentation source		 22
SGF 2018 Power Analysis for Generalized Linear Models Using the New CUSTOM Statement in PROC POWER John M. Castelloe source 17
SESUG 2016 Sample Size Estimation with PROC FREQ and PROC POWER Adeline J. Wilcox source 12
SESUG 2016 Surviving the Interim: Insights Into Interim Survival Analyses Venita DePuy source 31
SESUG 2016 Using SAS/QC to Design Optimal Experimental Designs in Consumer Lending Jonas V. Bilenas source 12
PharmaSUG CN 2016 Three Approaches to Estimate Power by SAS Xiang Liu 1
WUSS 2016 Equivalence Tests John Amrhein,
Fei Wang		 source 9
WUSS 2016 Knowledge is Power: The Basics of SAS Proc Power Elaina Gates source 5
SGF 2016 Equivalence Tests Fei Wang,
John Amrhein		 source 9
SGF 2015 Equivalence and Noninferiority Testing Using SAS/STAT Software John M. Castelloe,
Donna Watts		 source 23
SESUG 2014 To foam or not to foam: A survival analysis of the foam head that forms when a soda is poured Kate Phillips source 16
MWSUG 2013 Power Trip: A Road Map of PROC POWER Melissa Plets,
Julie Strominger		 4
WUSS 2012 Power Analysis: What is Available and What You Need to Know Gerry Hobbs source 11
WUSS 2012 Sample Size Calculation and Power Analysis for Design of Experiments Using Proc Glmpower Chii Dean source 10
SGF 2012 A Generalized Approach to Estimating Sample Sizes Wuchen Zhao,
Arthur X. Li		 source 7
WUSS 2011 Estimating Sample Size through Simulations Wuchen Zhao source 6
WUSS 2011 Power Analysis: What is Available and What You Need to Know Gerry Hobbs source 11
PharmaSUG 2011 Estimating Sample Size through Simulations Wuchen Zhao,
Arthur X. Li		 source 6
SGF 2011 Living with Generalized Linear Mixed Models Walter W. Stroup source 18
SGF 2011 MCPOWER: a Flexible Macro Suite for Generating Monte Carlo Power Estimates for Linear, Logistic, and Poisson Regression Models Ken Kleinman source 5
PharmaSUG 2010 Using SAS Proc Power to Perform Model-based Power Analysis for Clinical Pharmacology Studies Peng Sun 11
PHUSE EU 2008 Evaluation of Diagnostic Agents: a SAS Macro for Sample Size Estimation Using Exact Methods Stefano Vezzoli source 8
NESUG 2008 Breakthrough Improvements through Reliable Modern Testing using SAS and JMP Sunil Kumar Gupta 14
PharmaSUG 2008 Sample Size Estimation for (Bio)equivalence Testing Between Two Treatments Madan G. Kundu 13
SGF 2008 Updates to SAS Power and Sample Size Software in SAS 9.2 Wayne E. Watson source 10
PNWSUG 2007 An Introduction to Statistical Power Calculations for Linear Models with SAS 9.1 Robin High 17
NESUG 2005 Introduction to Experimental Design using SAS Jonas V. Bilenas 13
SUGI 2005 Estimation of Type III Error and Power for Directional Two-Tailed Tests Using PROC POWER Cam-Loi Huynh source 10
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
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

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