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proc ttest

90 papers; 78 titles.

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Conference × Year × Title × Authors Extras Pages
SESUG 2025 Investigation of the Wage Gap between Sexes in Agriculture Jordyne Lewis 10
PharmaSUG 2024 Win a PS5! How to Run and Compare Propensity Score Matching Performance Across Multiple Algorithms in Five Minutes or Less Catherine Briggs,
Sherrine Eid,
Samiul Haque,
S. Robert Collins		 source 11
SESUG 2023 How to use SAS POWER procedure to plan a study Xiaofeng (Steven) Liu source 4
PharmaSUG 2023 Smart Use of SAS Output System and SAS Macro for Statistic Test Selection Mengxi Wang source 10
WUSS 2022 Let SAS do the work for you: Tips and tricks for turning SAS output into client-ready tables Becky Lien,
Sara Richter,
Lily Dunk		 source 15
SESUG 2021 Moving beyond Frequency and Percentage to Chi Square, t-Tests, and Correlation Analysis Kelly D. Smith source 12
SGF 2020 An Efficient Way to Create Descriptive Tables with Pairwise Comparison Ang Gao,
Chul W. Ahn		 source 10
SGF 2020 Transdermal Medicine - Challenges and Solutions with SAS Marina Komaroff source 14
SESUG 2019 Intervention at the Library: Assessing the Effect of an Event David A. Dickey,
John Vickery		 source 19
SESUG 2019 Using SAS to examine peripheral intravenous access using ultrasound guided Abbas S. Tavakoli,
Courtney Prince,
Stephanie Burgess		 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
PharmaSUG 2019 Equivalence, Superiority and Non-inferiority with Classical Statistical Tests: Implementation and Interpretation Marina Komaroff source 7
MWSUG 2018 Propensity Scores and Causal Inference for (and by) a Beginner Bruce S. Lund 18
PharmaSUG 2018 Statistician in my Soul. Statistical Questions from SPA Nadiia Hryhorenko source 12
SESUG 2017 Tornado Inflicted Damages Pattern Vasudev Sharma source 11
SESUG 2017 Two Sample Parametric and Nonparametric Statistical Tests for a Large Number of Comparisons Made Easy Dennis J. Beal,
Oak Ridge		 source 7
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 Health Technology Assessment PRO Least Squares Mean Difference Programming Techniques Using SAS Yirong Cao,
Siory Traoré		 source
presentation source		 11
MWSUG 2017 Tornado Inflicted Damages Pattern Vasudev Sharma 11
SESUG 2016 In the Pursuit of Balanced Groups: A SAS Macro for an Adaptive Randomization Test Tyler Hicks,
Jeffrey D. Kromrey		 source 9
SESUG 2016 Introduction to Data Simulation Jason Brinkley source 8
PharmaSUG CN 2016 Three Approaches to Estimate Power by SAS Xiang Liu 1
WUSS 2016 Equivalence Tests John Amrhein,
Fei Wang		 source 9
SGF 2016 Equivalence Tests Fei Wang,
John Amrhein		 source 9
SESUG 2015 Using SAS to Create an Effect Size Resampling Distribution for a Statistical Test Peter S. Wludyka source 10
WUSS 2015 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
PharmaSUG CN 2015 Why Statistical Analysis Plan (SAP) should be comprehensive. Riddhi Merchant,
Ranjith Prayankotveettil		 6
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 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
SGF 2015 Equivalence and Noninferiority Testing Using SAS/STAT Software John M. Castelloe,
Donna Watts		 source 23
SGF 2015 Learning Analytics to Evaluate and Confirm Pedagogic Choices Richard Self source 13
SGF 2015 Need Additional Statistics in That Report? ODS OUTPUT to the Rescue! Debbie Buck source 12
SGF 2015 Selection and Transformation of Continuous Predictors for Logistic Regression Bruce S. Lund source 16
SGF 2015 The bookBot Ultimatum! David A. Dickey,
John Vickery		 source
zip		 19
SCSUG 2014 Selection and Transformation of Continuous Predictors for Logistic Regression Bruce S. Lund 13
MWSUG 2014 Selection and Transformation of Continuous Predictors for Logistic Regression Bruce S. Lund 12
PharmaSUG 2014 %ME: A SAS Macro to Assess Measurement Equivalence for Patient-Reported Outcome Measures Qinlei Huang source 8
SGF 2014 Measures of Fit for Logistic Regression Paul D. Allison source 12
SGF 2014 Plotting Differences Among LS-means in Generalized Linear Models Robin High source 14
SESUG 2013 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
PharmaSUG 2013 How MEAN is T-test? Naina Pandurangi source 4
SGF 2013 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
SGF 2013 Considerations and Techniques for Analyzing Domains of Complex Survey Data Taylor Lewis source 12
SGF 2013 Variance Heterogeneity and Non-Normality: How the SAS TTEST Procedure Can Keep Us Honest Aarti P. Bellara,
Anh P. Kellermann,
Diep T. Nguyen,
Eun Sook Kim,
Jeffrey D. Kromrey,
Patricia Rodríguez de Gil,
Yi-Hsin Chen		 source
pdf		 10
SESUG 2012 How to Perform and Interpret Chi-Square and T-Tests Jennifer L. Waller source 14
SESUG 2012 PROC TTEST (Old Friend), What Are You Trying to Tell Us? Diep T. Nguyen source 12
SGF 2012 A Generalized Approach to Estimating Sample Sizes Wuchen Zhao,
Arthur X. Li		 source 7
SGF 2012 How to Perform and Interpret Chi-Square and T-Tests Jennifer L. Waller source 20
SGF 2012 Investigating Host Plant Resistance to Aphid Feeding through SAS Text Miner Ning Song,
Jiawen Liu,
Goutam Chakraborty,
James A. Anstead		 source 10
SGF 2012 Propensity Score Analysis and Assessment of Propensity Score Approaches Using SAS Procedures Rheta E. Lanehart,
Patricia Rodríguez de Gil,
Eun Sook Kim,
Aarti P. Bellara,
Jeffrey D. Kromrey,
Reginald Lee		 source 11
SCSUG 2011 At Random - Sampling with PROC SURVEYSELECT Patricia Hettinger source 15
WUSS 2011 Estimating Sample Size through Simulations Wuchen Zhao source 6
WUSS 2011 SAS Essentials III: Statistics for Hamsters AnnMaria De Mars source 18
PharmaSUG 2011 Estimating Sample Size through Simulations Wuchen Zhao,
Arthur X. Li		 source 6
SGF 2011 Evaluating the Effectiveness of a Calcium Nutrition Educational Intervention for Middle School Students in Las Vegas, Nevada, Using SAS Ryan Fernandez source 13
WUSS 2010 Evaluating the Effectiveness of a Calcium Nutrition Educational Intervention for Middle School Students in Nevada using SAS Ryan Fernandez source 14
WUSS 2010 Statistical Analysis - The First Steps Jennifer L. Waller source 20
SESUG 2010 Statistical Analysis - The First Steps Jennifer L. Waller source 20
PharmaSUG 2010 Using SAS Proc Power to Perform Model-based Power Analysis for Clinical Pharmacology Studies Peng Sun 11
WUSS 2009 Capturing and Presenting PROC TTEST Results Using ODS and PROC REPORT Patrick Thornton source 7
PharmaSUG 2009 Statistics for Clinical Trial SAS Programmers 1: paired t-test Kevin Lee 6
PNWSUG 2007 An Introduction to Statistical Power Calculations for Linear Models with SAS 9.1 Robin High 17
SGF 2007 ODS Statistical Graphics for Clinical Research Wei Cheng source 20
PHUSE EU 2006 Adding (p-) Value to Tables -- a Programmer''s Perspective Kathryn Wright source 10
PHUSE EU 2006 Analysis of incomplete two-period crossover trials with SAS PROC MIXED Jochen Müller-Cohrs source 8
SESUG 2006 A Simulation Study of Sequential Testing Approaches in Genetics Andres Azuero,
David T. Redden		 source 8
NESUG 2006 Statistical analysis of clustered data using SAS Gui-Shuang Ying,
Chengcheng Liu		 13
NESUG 2006 Using SAS to Analyze the Summary Data Zhenyi Xue 6
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 ODS Statistical Graphics for Clinical Research Wei Cheng source 10
SUGI 2006 Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad Arthur L. Carpenter source 9
SUGI 2006 title=Like Wine, the TTEST Procedure Improves with Age John M. Castelloe,
Randall D. Tobias		 source 14
WUSS 2005 ODS Statistical Graphics for Clinical Research Wei Cheng source 20
WUSS 2005 Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad Arthur L. Carpenter source 9
SUGI 2005 Estimation of Type III Error and Power for Directional Two-Tailed Tests Using PROC POWER Cam-Loi Huynh source 10
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 Cut Out The Cut And Paste: SAS Macros For Presenting Statistical Output Myungshin Oh,
Mel Widawski		 source 9
PharmaSUG 2004 SAS Application in 2x2 Crossover Clinical Trial Wuwei Wayne Feng 10
PharmaSUG 2004 The Paired T-Test: Does PROC MIXED Produce the Same Results as PROC TTEST? Jack S. Nyberg 5
WUSS 2003 Answering Your Questions with Statistics Diana D. Suhr source 6
SESUG 2003 Create an Informative Summary from PROC T-TEST Output Jennifer K. Warner,
Marsh Affinity		 source 3
MWSUG 2003 A Macro Program for Displayin T-test Results Brent L. Baxter 12
WUSS 2002 A Macro to Perform a T-Test for Two Independent Samples Using Sufficient Statistics Lang-Feng Tsai source 5
SCSUG 2000 General Guidelines for Creating Useful Static HTML Reports Rick Porter,
Jimmy A. DeFoor		 16
SEUGI 1996 A SAS-Macro for the Welch t-Test procedure in the many-to-one design Carina Ortseifen source 5
SUGI 1995 A Macro to Output the Statistics from the TTEST Procedure to a SAS Data Set Erik S. Larsen,
Daniel DiPrimeo		 source 4
SESUG 1993 Using SAS Statistical Procedures in Medical Research Joe Cholewczynski 6
SUGI 1991 Introduction to Hypothesis Testing Using the Normal Distribution, the t-Test and the SAS System Arthur L. Carpenter source 5

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