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null hypothesis

373 papers and 1 presentation; 342 titles.

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Conference × Year × Title × Authors Extras Pages
PHUSE US 2026 Across the Multiverse ... Statistically Speaking Cralen Davis source
presentation source		 4
PHUSE EU 2025 One sample Log-Rank test for one sample survival studies: SAS code vs R code Giulio Pacini,
Menarini Ricerche,
Giulia Tonini,
Menarini Ricerche,
Simona Scartoni,
Menarini Ricerche		 source
presentation source		 5
MWSUG 2025 How to Modify SAS 9 Programs to Run in SAS Viya Danny R. Modlin source 40
SESUG 2025 Multiple Logistic Regression Using SAS and SPSS Amita Patil 14
PharmaSUG 2025 Simulating Optimal Sample Sizes for Canine Jaws Using SAS Chary Akmyradov,
Lida Gharibvand		 source 11
PharmaSUG 2025 Unveiling Paradoxical Pathways: A Counterintuitive Compass for Strategic Decision-Making Anbu Damodaran source 14
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 A Comprehensive Analysis of the Relationship Between Depression, Sleep Deprivation, and Self-Esteem Using Advanced Statistical Methods Muslihat Adejoke Gaffari source 43
WUSS 2024 Simulating Optimal Sample Sizes for Joyful Canine Jaws Using SAS Chary Akmyradov,
Lida Gharibvand		 source 11
WUSS 2024 Simulation in SAS for Estimating Power [presentation] Michael Williams source 18
PharmaSUG 2024 Bayesian Methods in Survival Analysis: Enhancing Insights in Clinical Research Vadym Kalinichenko source 11
PharmaSUG 2024 Generative Artificial Intelligence in sample size estimation - challenges, pitfalls, and conclusions Igor Goldfarb,
Vikas Sharma		 source 26
SESUG 2023 How to use SAS POWER procedure to plan a study Xiaofeng (Steven) Liu source 4
SESUG 2023 Wald Tests in Mixed Models - a Warning David A. Dickey source 20
SESUG 2022 Invoking Survey Weights to Calculate Bayes' Factor with PROC MCMC to Generate More Generalizable Inferences Tyler Hicks,
Graham G. Rifenbark		 9
PharmaSUG 2022 Analysis of sample size calculations in clinical trial - errors, pitfalls and conclusions Igor Goldfarb,
Ritu Karwal,
Xiaohua Shu		 source 14
SESUG 2021 Back to Basics: Running an Analysis from Data to Refinement in SAS Deanna Naomi Schreiber-Gregory source 21
PharmaSUG 2021 Back to Basics: Running an Analysis from Data to Refinement in SAS Deanna Naomi Schreiber-Gregory source 21
SGF 2021 Back to Basics: Running an Analysis from Data to Refinement in SAS Deanna Naomi Schreiber-Gregory source
presentation		 20
SGF 2021 Haste Makes Waste: Don't Ruin Your Reputation With Hasty Regression Steven C. Myers source
presentation
sas		 39
SGF 2021 Reporting Correlation Coefficient Results and Plots: A SAS Macro That Does It All Zhengming Chen,
Bowen Zheng		 source
presentation		 11
SGF 2020 A Warning about Wald Tests David A. Dickey source 20
SGF 2020 Add SGSCATTER, SGPLOT, SGPANEL and SGRENDER Procedures to Your SAS Toolbelt Alex Chaplin source 16
SGF 2020 Bayesian Sequential Monitoring of Clinical Trials Using SAS Matthew A. Psioda source 13
SGF 2020 Combination Weighted Log-rank Tests for Survival Analysis with Non-proportional Hazards Andrea Knezevic,
Sujata Patil		 source 10
SGF 2020 Sample Size Calculations Using SAS, R, and nQuery Software Jenna Cody source 19
SGF 2020 Testing Hypotheses for Equivalence and Non-inferiority with Binary and Survival Outcomes Joseph C. Gardiner source 23
SGF 2020 Transdermal Medicine - Challenges and Solutions with SAS Marina Komaroff source 14
SGF 2020 Using Factor Analysis and MANOVA to Explore Academic Achievement in the 2016 Monitoring the Future Survey Data Stefanie Kairs source 20
PharmaSUG 2020 Sample size and HR confidence interval estimation through simulation of censored survival data controlling for censoring rate Giulia Tonini,
Letizia Nidiaci,
Simona Scartoni		 source 10
PHUSE US 2020 Data Science Project (Educating for the Future Working Group) Aldir Medeiros Filho,
Sascha Ahrweiler		 source
presentation source		 10
PHUSE EU 2019 Mixed Model Repeated Measures (MMRMs) Mrudula Suryawanshi source
presentation source		 19
PHUSE EU 2019 Multiple imputation as a valid way of dealing with missing data Vadym Kalinichenko source
presentation source		 11
SESUG 2019 Improving Employee Satisfaction Through Text Analytics Luis David Martinez source 15
SESUG 2019 Validating Classification and Recidivism in Corrections Through Outcome Analytics Alan R. Mann source 34
SCSUG 2019 Do you know when your data is lying to you? The HOW of Regression Analysis with Quantitative and Qualitative Variables Steven C. Myers source 20
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
MWSUG 2019 Sample Size and Design Considerations in Studies Assessing Non-Inferiority using Continuous Outcomes Michael G. Wilson 19
MWSUG 2019 Surviving Survival Analysis 101: Making the Likelihood Ratio Test Easier Using a Macro Katelyn Ware,
Rachel Baxter		 13
WUSS 2019 A strategy for speed Dating YuTing Tian source 21
WUSS 2019 Choosing Wisely: Using the Appropriate Statistical Test for Trend in SAS Christina Park,
Jui-Ting Hsiung,
Melissa Soohoo,
Elani Streja		 source 10
PharmaSUG 2019 Practical Perspective in Sample Size Determination Bill Coar source 16
PharmaSUG 2019 Sample Size Determination with SAS Studio Bill Coar source 13
SGF 2019 A Selective Overview of Panel Data with Applications in SAS Oral Capps source 26
SGF 2019 Conducting Tests in Multivariate Regression Chii-Dean Joey Lin source 13
SGF 2019 IFRS9: Using SAS/ETD Software and SAS Studio to Select Macro Economic Variables Julio Alberto Campa Vega Filho source 19
SGF 2019 Sample Size Determination with SAS Studio William Coar source 13
SGF 2019 Using SAS Macros to Analyze Lifetime Data with Left Truncation Zhen-Huan Hu source 11
SESUG 2018 A Flexible Approach to Computing Bayes' Factors with PROC MCMC Tyler Hicks source 9
WUSS 2018 Agreeing to Disagree: Using SAS to Make Reasoned Decisions When Information Criteria Select Different Models Wendy Christensen source 10
PHUSE US 2018 Adverse Event Analysis - One step forward! Anuja Rasal source
presentation source		 11
PHUSE US 2018 Interim Survival Analysis Across 3 Platforms Venita DePuy source
presentation source		 22
PharmaSUG 2018 Statistician in my Soul. Statistical Questions from SPA Nadiia Hryhorenko source 12
SGF 2018 A SAS Macro Implementation of a Test for Co-directional Interactions Julia Sharp,
Patrick Gerard,
Bereket Tesfaldet		 source 16
SGF 2018 Estimation of Correlation Coefficient in Data with Repeated Measures Katherine Irimata,
Paul Wakim,
Xiaobai Li		 source 19
SGF 2018 Getting Started with Survival Analysis Marc Huber source 76
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
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
PHUSE EU 2017 Futile or Not? An Interim Analysis Case Study Ingrid Franklin source
presentation source		 9
MWSUG 2017 Tornado Inflicted Damages Pattern Vasudev Sharma 11
PharmaSUG 2017 Multiplicity Controlled Analyses Using SAS/IML Xingxing Wu,
Hangtao Xu		 source 8
SGF 2017 An Investigation into Big Data Analytics Applied to Insurance Rebecca Peters,
Penny Holborn		 source 18
SGF 2017 Multivariate Time Series: Recent Additions to the VARMAX Procedure Xilong Chen,
Stefanos Kechagias		 source
zip		 14
SGF 2017 PROC LOGISTIC: Using New SAS 9.4 Features for Cumulative Logit Models with Partial Proportional Odds Paul Hilliard source
zip
pdf		 16
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 Surviving the Interim: Insights Into Interim Survival Analyses Venita DePuy source 31
PHUSE EU 2016 Multiplicity Issues in Clinical Trials - Look at it with a Magnifying Glass! Madhusudhan Bandi source
presentation source		 6
MWSUG 2016 Frequentist and Bayesian Interim Analysis in Clinical Trials: Group Sequential Testing and Posterior Predictive Probability Monitoring Using SAS Kechen Zhao 14
WUSS 2016 Equivalence Tests John Amrhein,
Fei Wang		 source 9
PharmaSUG 2016 Empowering Users By Creating Data Visualization Applications In R/Shiny Sudhir Singh,
Brian Munneke,
Amulya R. Bista,
Jeff Cai		 source 8
PharmaSUG 2016 What makes a "Statistical Programmer" different from a "Programmer" Arun Raj Vidhyadharan,
Sunil Mohan Jairath		 source 12
SGF 2016 Equivalence Tests Fei Wang,
John Amrhein		 source 9
SGF 2016 What's the Difference? David A. Dickey source 17
SESUG 2015 A SAS Macro to Investigate Statistical Power in Meta-analysis Jin Liu,
Fan Pan		 source 5
SESUG 2015 Coder ' s Corner source 10
WUSS 2015 Data Analyses in Multivariate Regression Chii-Dean Joey Lin source 9
WUSS 2015 Yes, PROC FREQ does that! AnnMaria De Mars source 15
PharmaSUG 2015 Missing Data For Repeated Measures: Single Imputation VS Multiple Imputation Giulia Tonini,
Simona Scartoni,
Camilla Paoli,
Andrea Nizzardo,
Angela Capriati		 source 10
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 Addressing AML Regulatory Pressures by Creating Customer Risk Rating Models with Ordinal Logistic Regression Edwin Rivera,
Jim West		 source 12
SGF 2015 An Introduction to Testing for Unit Roots Using SAS: The Case of U.S. National Health Expenditures Don McCarthy source
zip		 6
SGF 2015 Analysis of Survey Data Using the SAS SURVEY Procedures: A Primer Patricia A. Berglund source 19
SGF 2015 Analyzing Direct Marketing Campaign Performance Using Weight of Evidence Coding and Information Value through SAS Enterprise Miner Incremental Response Sravan Vadigepalli source
zip		 9
SGF 2015 SAS for Six Sigma - An Introduction Daniel R. Bretheim source 32
SGF 2015 Selection and Transformation of Continuous Predictors for Logistic Regression Bruce S. Lund source 16
SGF 2015 Statistical Analysis of Publicly Released Survey Data with SAS/STAT Software SURVEY Procedures Donna Brogan source 20
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 Using SAS to Create a p-value Resampling Distribution for a Statistical Test Peter S. Wludyka source 12
PHUSE EU 2014 Unuttered Questions of Statistical Programmers Aparajita Dey source
presentation source		 10
PharmaSUG CN 2014 Calculation of Confidence Intervals for Odds Ratio and Binomial Ratio Using StatXact PROCs Halimu Haridona 7
PharmaSUG 2014 %ME: A SAS Macro to Assess Measurement Equivalence for Patient-Reported Outcome Measures Qinlei Huang source 8
PharmaSUG 2014 Survival Analysis Approaches and New Developments using SAS Jane Lu,
David Shen		 source 13
PharmaSUG 2014 The Association of Morbid Obesity with Mortality and Coronary Revascularization among Patients with Acute Myocardial Infarction Ashwini S Erande,
Shaista Malik		 source 11
PharmaSUG 2014 Using SAS to Calculate and Compare Adjusted Relative Risks, Odds Ratios, and Hazard Ratios Besa Smith,
Tyler C. Smith		 source 23
SGF 2014 %COVTEST: A SAS Macro for Hypothesis Testing in Linear Mixed Effects Models via Parametric Bootstrap Peter Ott source 9
SGF 2014 Implementing Multiple Comparisons on Pearson Chi-square Test for an RxC Contingency Table in SAS Man Jin,
Binhuan Wang		 source 6
SGF 2014 Measures of Fit for Logistic Regression Paul D. Allison source 12
SGF 2014 P-values: Democrats or Dictators? Brenda Beaty,
Michelle Torok		 source 4
SGF 2014 The Commonly Used Statistical Methods to Control The Probability of an Overall Type I Error and the Application in Clinical Trial Lixiang Yao source 7
WUSS 2013 A Tutorial on PROC LOGISTIC Arthur X. Li source 19
WUSS 2013 The Association of Morbid Obesity with Mortality and Coronary Revascularization among Patients with Acute Myocardial Infarction using ARRAYS, PROC FREQ and PROC LOGISTIC" Ashwini Erande,
Shaista Malik		 source 11
PHUSE EU 2013 Multivariate Bioequivalence Shital Agawane,
Sanjukta Roy		 source
presentation source		 8
MWSUG 2013 A Tutorial on PROC LOGISTIC Arthur X. Li 19
MWSUG 2013 Analyzing Categorical Variables from Complex Survey Data Using PROC SURVEYFREQ Taylor Lewis 20
MWSUG 2013 Power Trip: A Road Map of PROC POWER Melissa Plets,
Julie Strominger		 4
PharmaSUG 2013 Time to Event Analysis in the Pharmaceutical and Medical Device Industries Helen M. Chmiel,
Evan L. Ritzema		 source 8
SGF 2013 A Case Study of Tuning an Enterprise Business Intelligence Application in a Multi-OS Environment Fred R. Forst source 16
SGF 2013 Are You Discrete? Patients' Treatment Preferences and the Discrete Choice Experiment Beeya Na,
Eric P. Elkin		 source 6
SGF 2013 Exploring Time Series Data Properties in SAS Aude Pujula,
David Maradiaga,
Hector Zapata		 source 12
SGF 2013 Ordinal Response Modeling with the LOGISTIC Procedure Bob Derr source 20
SGF 2013 Regression of NASCAR: Looking into Five Years of Jimmie Johnson Alex Herrington,
Liuchun Yang,
Yun Gao		 source 20
SGF 2013 The Box-Jenkins Methodology for Time Series Models Theresa H. Ngo source 11
NESUG 2012 SAS for Six Sigma - An Introduction Daniel R. Bretheim 32
NESUG 2012 Simple Statistical Programming: Preventing Errors When Creating Output Datasets Containing Statistical Test Results for McNemar's Test Stephen Bosch 10
SESUG 2012 A Randomization Test SAS/IML Program for Making Treatment Effects Inferences for Extensions and Variations of ABAB Single-Case Experimental Designs Patricia Rodríguez de Gil,
John M. Ferron		 source 8
SESUG 2012 Random Effects Simulation for Sample Size Calculations Using SAS Random Effects Simulation source 11
MWSUG 2012 Methods for Interaction Detection in Predictive Modeling Using SAS Douglas Thompson 13
WUSS 2012 Automobile Sales Modeling using Granger-Causality Graph with PROC VARMAX in SAS 9.3 Akkarapol Sa-ngasoongsong source 10
WUSS 2012 Up To Speed With Categorical Data Analysis Maura E. Stokes source 25
PharmaSUG 2012 Are You Discrete? Patients' Treatment Preferences and the Discrete Choice Experiment Beeya Na,
Eric P. Elkin		 source 5
SGF 2012 A Generalized Approach to Estimating Sample Sizes Wuchen Zhao,
Arthur X. Li		 source 7
SGF 2012 Beyond Binary Outcomes: PROC LOGISTIC to Model Ordinal and Nominal Dependent Variables Eric P. Elkin source 8
SGF 2012 Black Box PROCs: PROC LOGISTIC Discovered Isabel H. Perry source 7
SGF 2012 Variable Selection for Multivariate Cointegrated Time Series Prediction with PROC VARCLUS in SAS Enterprise Miner 7.1 Akkarapol Sa-ngasoongsong,
Satish T. Bukkapatnam		 source 12
SGF 2012 Weighted Portmanteau Tests Revisited: Detecting Heteroscedasticity, Fitting Nonlinear and Multivariate Time Series Thomas J. Fisher source 12
SESUG 2011 Analysis of a Binary Outcome Variable Using the FREQ and LOGISTIC Procedures Arthur X. Li source 18
WUSS 2011 Estimating Sample Size through Simulations Wuchen Zhao source 6
WUSS 2011 Up To Speed With Categorical Data Analysis Maura E. Stokes source 25
PHUSE EU 2011 Bayesian hypothesis testing for proportions Antonio Nieto,
Javier Gómez		 source
presentation source		 6
MWSUG 2011 Does Lawrence Smoking Ban Impact Kansas Liquor Sales? Lijia Mo 12
PharmaSUG 2011 Estimating Sample Size through Simulations Wuchen Zhao,
Arthur X. Li		 source 6
PharmaSUG 2011 Statistical Analysis of Adverse Events in Randomized Clinical Trials Using SAS Dongsun Cao,
Xiaomin He		 source 12
SGF 2011 An Introduction to Survival Analysis Using Complex Sample Survey Data Patricia A. Berglund source 20
SGF 2011 MCPOWER: a Flexible Macro Suite for Generating Monte Carlo Power Estimates for Linear, Logistic, and Poisson Regression Models Ken Kleinman source 5
SGF 2011 Testing the Adequacy of ARMA Models using a Weighted Portmanteau Test on the Residual Autocorrelations Thomas J. Fisher source 5
SGF 2011 Up To Speed With Categorical Data Analysis Gary G. Koch,
Maura E. Stokes		 source 25
NESUG 2010 The Quest for Causation: An Introduction to Correlation and Regression Analysis Ian Stockwell 9
SCSUG 2010 Impact of model mis-specification on conditional power in interim survival analysis Chao L. Chen source 9
WUSS 2010 An Introduction to Statistical Tests for the SAS Programmer Sara Beck source 10
WUSS 2010 Planned Contrasts and Post Hoc Tests in MANOVA Made Easy Chii-Dean Joey Lin source 8
WUSS 2010 Rediscovering SAS/IML Software: Modern Data Analysis for the Practicing Statistician Rick Wicklin source 18
MWSUG 2010 PROC MIXED: Underlying Ideas with Examples David A. Dickey 19
MWSUG 2010 Using SAS to Assess and Model Time-to-Event Data with Non-Proportional Hazards Michael G. Wilson 24
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
SESUG 2010 Stationarity Testing in High Frequency Seasonal Time Series David A. Dickey source 10
SGF 2010 A Nonparametric Method to Assess Treatment Effects for Unbalanced Designs Using SAS/IML Michael Cunningham source 12
SGF 2010 Using New JMP Interactive Modules to Teach Concepts in Introductory Statistics Amy G. Froelich,
William M. Duckworth		 source 9
SESUG 2009 A New Effect Modification P Value Test Demonstrated Manojkumar B Agravat source 14
SESUG 2009 Developing Business Failure Prediction Models Using SAS Software Oki Kim source 10
PHUSE EU 2009 Analysis of a 3-period 2-treatment pharmacokinetic study to assess scaled average bioequivalence Jochen Müller-Cohrs source 11
MWSUG 2009 Group Sequential Analysis Using the New SEQDESIGN and SEQTEST Procedures Yang Yuan 20
NESUG 2009 A SAS Macro Approach to Simultaneous Superiority and Noninferiority Testing in Clinical Trials Analysis William Chen,
Margaret M. Coughlin		 5
WUSS 2009 Developing Business Failure Prediction Models Using SAS Software Oki Kim source 10
WUSS 2009 Using PROC LOGISTIC to Estimate Willingness to Pay for Fresh Produce Mikael Peterson source 4
PharmaSUG 2009 Statistics for Clinical Trial SAS Programmers 1: paired t-test Kevin Lee 6
PharmaSUG 2009 The Existence of Maximum Likelihood Estimates for the Logistic Regression Model William F. McCarthy,
Nan Guo		 12
SGF 2009 Group Sequential Analysis Using the New SEQDESIGN and SEQTEST Procedures Yang Yuan source 20
SGF 2009 Stationarity Testing in High Frequency Seasonal Time Series David A. Dickey source 8
WUSS 2008 Evaluation of a Hospice Care Referral Program Using Cox Proportional Hazards Model Lida Gharibvand,
Daniel R. Jeske,
Solomon Liao		 source 16
SESUG 2008 Lithium Battery Analysis: Probability of Failure Assessment Using Logistic Regression Travis A. Moebes source 9
SESUG 2008 Techniques for Evidence-Based Decision Making Using SAS Ian Stockwell source 8
PHUSE EU 2008 Missing Data in Cross-Over Trials Edyta Mrowka source 7
PHUSE EU 2008 Statistics for Non-Statisticians Shambhavi Nayak source 10
NESUG 2008 Breakthrough Improvements through Reliable Modern Testing using SAS and JMP Sunil Kumar Gupta 14
NESUG 2008 Early Detection of Epidemic Outbreaks and Financial Bubbles Using Autoregressive Models with Structural Changes Ernest S. Shtatland,
Timur Shtatland		 15
NESUG 2008 Guido's Guide to PROC MEANS - A Tutorial for Beginners Using the SAS System Joseph J. Guido 11
NESUG 2008 Time Series Analysis Using SAS - Part I - The Augmented Dickey Fuller (ADF) Test Ismail E. Mohamed 6
PharmaSUG 2008 TPHREG and GLMSELECT: Using the CLASS statement in SAS 9.1 Laura E. Archer 11
PharmaSUG 2008 Using ESTIMATE and CONTRAST Statements for Customized Hypothesis Tests Hanyu Chen 8
SGF 2008 Convergence Failures in Logistic Regression Paul D. Allison source 11
SGF 2008 Introduction to Correlation and Regression Analysis Ian Stockwell source 8
SGF 2008 Lithium Battery Analysis: Probability of Failure Assessment Using Logistic Regression Travis A. Moebes source 9
SGF 2008 Local Measures of Global Warming Jun Lu source 7
SGF 2008 PROC MIXED: Underlying Ideas with Examples David A. Dickey source 18
NESUG 2007 Common Pitfalls in SAS Statistical Analysis Macros in a Mass Production Environment Huei-Ling Chen,
Aiming Yang		 9
NESUG 2007 Customizing Output for Regression Analyses Using ODS and the Data Step Zhenyi Xue 11
NESUG 2007 Summarizing the Power of Your Predictive Model with Receiver Operating Characteristic Curves Mithat Gonen 18
SESUG 2007 PROC MIXED: Underlying Ideas with Examples David A. Dickey source 19
SESUG 2007 ROBUST_ES: A SAS Macro for Computing Robust Estimates of Effect Size Jeffrey D. Kromrey,
Kevin B. Coughlin		 source 16
WUSS 2007 AN ADAPTIVE ALGORITHM TO COMPUTE POWER FOR THE HOCHBERG SEQUENTIAL REJECTIVE PROCEDURE: A CORRELATED DATA EXAMPLE Jimmy Thomas Efird,
Susan Searles Nielsen		 source 6
WUSS 2007 Health Outcomes Research Using Time-to-Event Analytic Approaches Tyler C. Smith,
Besa Smith		 source 22
WUSS 2007 Hypothesis Testing: An SQL Analogy Leroy Bracken,
Paul D. Sherman		 source 5
WUSS 2007 Statistical Inference Illustrated Richard R. Allen source 19
PharmaSUG 2007 Cochran-Armitage Trend Test Using SAS Hui Liu 11
PharmaSUG 2007 Comparison of a Non-Parametric Rank-Sum Test Based on a SAS Calculation of the Exact Null Distribution to Dunn's and Miller's Procedures April Slee,
Alice Birnbaum,
Paul Stutzman		 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
PharmaSUG 2007 Untied Worst-Rank Score Analysis William F. McCarthy 7
SGF 2007 Improving Credit Scoring by Generalized Additive Model Wensui Cela,
Jimmy Liu		 source 9
SGF 2007 Learning What You Didn't Know about Your Data Larry W. Douglass source 16
SGF 2007 Skewness, Multicollinearity, Heteroskedasticity - You Name It, Cost Data Have It! Solutions to Violations of Assumptions of the Ordinary Least Squares Regression Model Using SAS Leonor L. Ayyangar source 7
MWSUG 2006 Nonparametric Inference for Ordered Alternatives in a One-Way Layout Using Paul Juneau 15
PHUSE EU 2006 Basic Statistics and Commonly Encountered Statistical Tests for Statistical Programmers Maria Efstathiou source 12
PHUSE EU 2006 Some Basic Statistics for Non-Statisticians Gary S. Stevens source 6
SESUG 2006 A Simulation Study of Sequential Testing Approaches in Genetics Andres Azuero,
David T. Redden		 source 8
WUSS 2006 Skewness, Multicollinearity, Heteroskedasticity - You Name It, Cost Data Have It! Solutions to Violations of Assumptions of Ordinary Least Squares Regression Model Using SAS Leonor Ayyangar source 7
NESUG 2006 Data Analysis: Beyond the Basics Ian Stockwell 9
NESUG 2006 Receiver Operating Characteristic (ROC) Curves Mithat Gonen 18
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 Estimate the False Discovery Rate Using SAS Jason A. Osborne source 10
SUGI 2006 Implementing a Multiple Comparison Test for Proportions in a 2xc Crosstabulation in SAS Alan C. Elliott,
Joan S. Reisch		 source 6
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 Receiver Operating Characteristic (ROC) Curves Mithat Gonen source 18
SUGI 2006 Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad Arthur L. Carpenter source 9
MWSUG 2005 Medicare Cost Estimation For Heart Disease Fariba Nowrouzi 11
MWSUG 2005 Time Dependent Data Exploration And Preprocessing: Doing It All By SAS Joseph Twagilimana 10
WUSS 2005 A Journey to Ellis Island: Profiling Historical Immigration Using SAS and JMP Time Series Methods Archie J. Calise,
Joseph E. Earley		 source 6
WUSS 2005 Graphing the Probability of Event as a Function of Time Using Survivor Function Estimates and the SAS System's PROC PHREG Tyler C. Smith,
Besa Smith		 source 18
WUSS 2005 Revisiting the Cross-Over: A Two-Period Design Using a Treatment and a Placebo Qian Zhang,
Mable Kong		 source 10
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 2005 Using SAS for Cointegration and Error Correction Mechanism Approaches: Estimating a Capital Asset Pricing Model for House Price Returns Ismail E. Mohamed,
Theresa R. DiVenti		 14
PharmaSUG 2005 An Approach Finding the Right Tolerance Level for Clinical Data Acceptance Karen Walker 6
PharmaSUG 2005 Power Analysis and Sample Size Estimation using Bootstrap Xiaomei Peng,
Guangbin Peng,
Celedon Gonzales		 7
SUGI 2005 Estimation of Type III Error and Power for Directional Two-Tailed Tests Using PROC POWER Cam-Loi Huynh source 10
SUGI 2005 Parameterizing Models to Test the Hypotheses You Want: Coding Indicator Variables and Modified Continuous Variables David J. Pasta source 20
SUGI 2005 Power Simulation for Categorical Data Using the RANTBL Function Joel A. Dubin,
Theodore R. Holford,
Peter H. Van Ness		 source 12
SUGI 2005 Stationarity Issues in Time Series Models David A. Dickey source 17
SUGI 2005 Testing the Hypothesis of a Kroneckar Product Covariance Matrix in Multivariate Repeated Measures Data Anuradha Roy,
Ravindra Khattree		 source 11
SESUG 2004 Case Studies in Time Series David A. Dickey source 10
WUSS 2004 Are Religious Universities Religious?: A Multiple Regression Analysis of Varying Factors at Loyola Marymount University using SAS/ETS Procedures Jonathan Bingham,
Joel Shackelford		 source 11
WUSS 2004 Beyond Binary Outcomes: PROC LOGISTIC to Model Ordinal and Nominal Dependent Variables Eric P. Elkin source 8
WUSS 2004 Evaluating Student Statistics Performance Using SAS/STAT Procedures Seid M. Zekavat,
Kathryn Wilson		 source 5
WUSS 2004 Kaplan Meier And Cox Proportional Hazards Modeling: Hands On Survival Analysis Tyler C. Smith,
Besa Smith		 source 14
MWSUG 2004 Calculation and Assessment of Inferential Test Statistics for Meta Analysis of Cross-Over Clinical Trials Hurley 8
PharmaSUG 2004 SAS Application in 2x2 Crossover Clinical Trial Wuwei Wayne Feng 10
PharmaSUG 2004 Statistical Application of SAS in Method Comparison Analysis David Shen 13
SUGI 2004 DATA: "Getting to Know You; Getting to Know All About You" Larry W. Douglass,
Sue E. Douglass		 source 17
WUSS 2003 Getting Started with PROC LOGISTIC Andrew H. Karp source 6
SESUG 2003 Comparison of PROC MIXED and PROC GLM for Analysis of Repeated Measures Data Hossein N. Yarandi 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
SESUG 2003 Using the SAS System to Construct n-Values Plots Peter S. Wludyka source 9
MWSUG 2003 Numerical Representation and Rank-Based Statistics: A Cautionary Tale K. D. Stromberg,
T. L. Fox		 10
NESUG 2003 Statistics & Regression - Easier than SAS Vincent Maffei,
Michael L. Davis		 6
VIEWS 2003 Analysing Binary Outcome Data from a Crossover Design Study using the SAS System Anna Pictor presentation 8
SUGI 2003 A SAS/IML Program for Mapping QTL in Line Crosses Chenwu Xu,
Shizhong Xu		 source 6
SUGI 2003 Beyond PROC LIFETEST: Alternative Linear Rank Tests for Comparing Survival Distribution Alan B. Cantor source 4
SUGI 2003 Case Studies in Time Series David A. Dickey source 9
SCSUG 2002 SASMLF - Implementations of Nonparameteric Smoothing and Lack-of-Fit Tests Based on Smoothers George von Borries,
Jeffrey D. Hart		 7
NESUG 2002 Using the LOGISTIC Procedure to Model Responses to Financial Services Direct Marketing David Marsh 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
WUSS 2002 Doing More with Proce FREQ Using Options and ODS Richard Severino source 13
WUSS 2002 Seasonality Detectioh in the Energy Sector Using the SAS System Joseph E. Earley,
Seid M. Zekavat		 source 3
PharmaSUG 2002 Bayesian Analysis of Population Bioequivalence Using the Independence Chain Algorithm in PROC MIXED Chain Algorithm 6
SUGI 2002 SAS Implementation of Nonparametric Smoothing and Lack-of-Fit Based on Smoothers George F. von Borries,
Jeffrey D. Hart		 source 5
SUGI 2002 SAS Tools for Meta-analysis Robert M. Hamer,
Pippa M. Simpson		 source 6
NESUG 2001 Power and Sample Size Determination for Linear Models John M. Castelloe 13
VIEWS 2001 A Conjoint-based Choice Modelling Approach Using the PHREG Procedure to Evaluate the Importance of Fisheries Management Objectives Premachandra Wattage,
Simon Mardle,
Sean Pascoe		 14
WUSS 2001 Detecting Seasonality in Univariate Time Series Data Using the SAS System Joseph E. Earley,
Seid M. Zekavat		 source 6
SESUG 2001 A Simulation Study to Compare the Performance of Permutation Tests for Time by Group Interaction in an Unbalanced Repeated-Measures Design, Using Two Permutation Schemes Mark S. Litaker,
Bob Gutin		 source 5
SESUG 2001 Power and Sample Size Determination for Linear Models John M. Castelloe source 13
SCSUG 2001 A Simulation Study to Compare the Performance of Permutation Tests for Time by Group Interaction in an Unbalanced Repeated-Measures Design, Using Two Permutation Schemes Mark S. Litaker,
Bernard Gutin		 5
SCSUG 2001 Power and Sample Size Determination for Linear Models John M. Castelloe,
Ralph G. O'Brien		 13
PharmaSUG 2001 Power and Sample Size Determination for Linear Models John M. Castelloe 14
SUGI 2001 A SAS/IML Macro for Goodness-of-Fit Testing in Logistic Regression Models With Sparse Data Oliver Kuss source 5
SUGI 2001 Power and Sample Size Determination for Linear Models John M. Castelloe,
Ralph G. O'Brien		 source 13
SESUG 2000 Performing Exact Logistic Regression with the SAS R /AD System Robert E. Derr source 10
SESUG 2000 Underlying Construct Analysis (UCA): Where Individual Systems End and Human Systems Begin Alvin L. Killough source 8
NESUG 2000 Getting Started with PROC LOGISTIC Andrew H. Karp 5
WUSS 2000 PROC FREQ: It's More Than Counts Richard Severino source 10
SUGI 2000 Mixed-Up Mixed Models: Things That Look Like They Should Work But Don't, and Things That Look Like They Shouldn't Work But Do Robert M. Hamer,
Pippa M. Simpson		 source 8
SUGI 2000 Performing Exact Logistic Regression with the SAS System Bob Derr source 10
SUGI 2000 PROC FREQ: It's More Than Counts Richard Severino source 10
SUGI 2000 The Use of Kernel Density Estimators to Monitor Protocol Compliance Patricia B. Cerrito,
George R. Barnes		 source
SESUG 1999 Utilizing SAS Software in the Evaluation of Virginia Tech's Academic Eligibility Policy Kristen H. Bush source 6
WUSS 1999 Are Histograms Giving You Fits? New SAS Software for Analyzing Distributions Nathan A. Curtis source 10
WUSS 1999 Investigating Seasonality in BLS Data Using PROC ARIMA Joseph E. Earley source 6
WUSS 1999 Seasonal Trend Analysis of Monthly Water Quality Data Jie Tian,
George C. J. Fernandez		 source 6
NESUG 1999 Modeling Customer Choice David R. Roberts 6
NESUG 1999 Visual Analysis on the WEB: Animating High Density Multidimensional Data Haftan M. Eckholdt 9
SUGI 1999 Advances in Multiple Comparisons and Multiple T-Tests Using the SAS System Peter H. Westfall,
Randall D. Tobias		 source 9
SUGI 1999 Study Design with SAS: Estimating Power with Monte Carlo Methods Robert W. Graebner source 3
SUGI 1999 Using SAS Software to Calculate Tests of Cliffs Delta Kristine Y. Hogarty,
Jeffrey D. Kromrey		 source 5
SCSUG 1998 Laboratory Data Management and Reporting O. M. Little 30
WUSS 1998 Getting Started with PROC LOGISTIC Andrew H. Karp source 5
SESUG 1998 A SAS Macro Program to Perform Permutation Testing for Group*Time Interaction in an Unbalanced Repeated-Measures Analysis of Variance Mark S. Litaker,
Bernard Gutin		 5
SESUG 1998 Multiple Comparison Procedures with SAS Chung-Kuei Chang 9
SESUG 1998 Using SAS to Calculate Tests of Cliff's Delta Kristine Y. Hogarty,
Jeffrey D. Kromrey		 5
SUGI 1998 An Introduction to the Analysis of Repeated Measures for Continuous Response Data using PROC GLM and PROC MIXED Robert M. Hamer,
Pippa M. Simpson		 source 4
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
WUSS 1997 Logistic Regression Modeling in Complex Surveys: Examples Using LOGITSE SAS Macro Jesse Albert Canchola,
Brian D. Marx,
Joseph A. Catania		 source 10
WUSS 1997 Testing Homogeneity of Variance Shuqiang Zhang source 4
MWSUG 1997 An Introduction to Survival Analysis Linda M. Quinn 12
MWSUG 1997 Examining Cointegration Among Time-Series Variables Using Customized SAS Macro: Residual-Based Methods Jun Zuo 8
SESUG 1997 Identifying the Order of Integration of Time-series Data Using Customized SAS Macros: Dickey-Fuller and Augmented Dickey-Fuller Tests Jun Zuo 6
PharmaSUG 1997 Obtaining Group Sequential Test Boundaries with SAS William J. Stager,
Hoechst Marion Roussel,
Jessie J. Yun,
Hoechst Marion Roussel		 4
PharmaSUG 1997 The Jonckheere-Terpstra Nonparametric Ordered Alternatives Test Nestor Rohowsky 10
SUGI 1997 Getting Started with PROC LOGISTIC Andrew H. Karp source 5
SUGI 1997 Visual Hypothesis Testing with Confidence Intervals Robert W. Smith source
SCSUG 1996 Fishing for Exactness Ted Pedersen 13
SCSUG 1996 Getting Started with PROC LOGISTIC Andrew H. Karp 5
SESUG 1996 Getting Started with PROC LOGISTIC Andrew H. Karp 5
SESUG 1996 SAStistics 101 Robert E. Johnson 8
SESUG 1996 Stepwise Regression as a Multiple Comparison Procedure Rodney Sparapani 3
NESUG 1996 Using the SAS System to Perform McNemar's Test and Calculate the Kappa Statistic for Matched Pairs of Data Lisa Suchower,
Margaret Copenhaver		 8
MWSUG 1996 Exact Methods in the NPAR1WAY Procedure Anupama Narayanan,
Donna L. Watts		 5
MWSUG 1996 Testing for and Correcting for Missing Data in Survey Responses: A Survey of Downtown Business in Minneapolis Shelly S. Baxter,
Lawrence C. Marsh		 10
WUSS 1996 Logistic Regression: From SAS Coding to Statistical Interpretation Elizabeth Li source 9
SEUGI 1996 A SAS/AF software application for sample size and power determination Fiona Portwood source 8
SUGI 1996 Exact Methods in the NPAR1WAY Procedure Anupama Narayanan,
Donna L. Watts		 source 5
MWSUG 1995 STAT101: A Review of the Basics Judi D. Reine 5
NESUG 1995 Getting Started with PROC LOGISTIC Andrew H. Karp 5
NESUG 1995 More on PROC PHREG: Conditional Logistic Regression (or Should We Do Another Study..?) Peter P. Gaccione 10
SESUG 1995 Getting Started with PROC LOGISTIC Andrew H. Karp 5
SEUGI 1995 Macro Procedure for Equivalence Testing Francois Montestruc source 16
SEUGI 1995 SAS Macros for Nonparametric Tests in the Case of Multivariate Incomplete Data from two Populations Thomas Bregenzer source 7
SUGI 1995 Granger-Sims Test for Causality Ashok Mehta source 6
NESUG 1994 A SAS Macro for Exact Power of Chi-Square Tests of Equality of Two Proportions Carl E. Pierchala 10
SEUGI 1994 Multi-variate Methods for Quality Improvement with SAS/QC and SAS/GRAPH Software Gilbert Saporta,
Luan Jaupi		 source 4
SEUGI 1994 SAS System Macros for Multi-variate Two-sample Tests in the Case of Incomplete Data Thomas Bregenzer source 10
SUGI 1994 Introduction to Repeated Measures William G. LeBlanc source 9
SUGI 1994 Small-Sample Inference in SAS Software: Using Exact Methods Cyrus R. Mehta source 9
SUGI 1994 Using SAS Software to Check Assumptions for Analysis of Covariance, Including Repeated Measures Designs Richard P. Steiner,
N. Margaret Wineman		 source 5
NESUG 1993 Interfacing StatXact and SAS for Exact Tests Cyrus R. Mehta,
David C. Schlotzhauer		 9
SEUGI 1993 A SAS Macro to Perform a Nonparametric Exact Test of Homogeneity for Correlated Categorical Data Comelia Baldauf source 5
SEUGI 1993 Support of Statistical Consulting Using SAS Software Hans-Peter Altenburg source 11
SEUGI 1993 The Closed Test Procedure Hans Ulrich Burger source 13
SUGI 1993 An Interactive SAS/AF System for Sample Size Calculation Deborah J. Matos source 6
SUGI 1993 Estimating Neural Network Nonparametric Production Functions Using SAS Software Daric L. Brummet,
Lawrence C. Marsh		 source 5
SUGI 1993 Relating Orthogonal Contrasts to Regression Coefficients through Estimable Functions in the GLM Procedure Louis Munyakazi,
Roy H. Sorbet,
Richard L. Hintz		 source 4
SUGI 1993 Statistical Procedures in Automated Cervical Cytology David L. Sherry source 4
NESUG 1992 An In-Depth Look at the PHREG Procedures Peter P. Gaccione 9
SUGI 1992 Interactive Data Analysis Strategies Alvin M. Best III source 6
SUGI 1992 Multivariate Inequality Hypostheses Using SAS/IML Software Dan Jacobs,
Estelle Russek-Cohen		 source 4
SUGI 1992 Testing the Rationality of Panel Data Forecasts Using a GMM Estimator Richard H. Cohen source 6
SCSUG 1991 Analyzing Repeated Measures Designs: What You Don't Know CAN Hurt You Richard W. Cole 12
SEUGI 1991 Confidence Intervals for Bioequivalence Studies B. Jones,
D. J. Nichols,
P. Blood		 source 12
SUGI 1991 A Procedure for Deciding Which Treatments to Accept in a Screening Study Involving Pseudo-Bernoulli Data Ralph A. DeMasi,
Dana Quade		 source 7
SUGI 1991 Analysis of 2 x 2 Cross-over Trials Using an Integrated Macro Package Harvie Chang,
Tamara R. Strang		 source 6
SUGI 1991 Introduction to Hypothesis Testing Using the Normal Distribution, the t-Test and the SAS System Arthur L. Carpenter source 5
SUGI 1991 SAS/ETS Software in Applied Econometrics: Evaluating Input Separability in a Model of the U.S. Manufacturing Sector John J. Hisnanick source 6
NESUG 1990 Exact Nonparametric Inference: Theory, Applciations and Software Cyrus R. Mehta 16
SUGI 1990 Alternative Parameterization for Anova Models Using SAS Software Robert M. Hamer source 8
SUGI 1990 Hypotheses and Sample Size for Showing Equivalence James J. Ashton source 5
SUGI 1990 The Distribution of Cronbach's Coefficient Alpha from the CORR Procedure of SAS Software Andrew J. Cucchiara,
Susan J. Kenny,
J. Paul Costiloe		 source 6
SEUGI 1989 Goodness Of Fit Tests And Goodness Of Homogeneity Tests With The SAS System C. Derquenne source 11
SEUGI 1989 Realization Of Approximative And Exact Nonparametric Statistics In SAS/IML Software Siegfried Freytag source 10
SUGI 1989 Analysis of Covariance: Multiple Covariates George A. Milliken source 10
SUGI 1989 Analysis of Nonreplicated Experiments with SAS/IML Software Michael R. Emptage source 5
SUGI 1989 Issues Related to Analyzing Repeated Measurement Data Ramon C. Littell,
Jane Pendergast		 source
SUGI 1989 P-Value Adjustments for Multiple Tests in Multivariate Binomial Models Peter H. Westfall,
S. Stanley Young		 source 4
SUGI 1989 The Use of SAS/IML Software in Implementing the Coherence Property for Discriminate Analysis Variables Joyce Bernstein,
William R. Fehlner		 source 5
SEUGI 1988 Size and Power of the Anderson-Hauck Test and the Double T-Test in Equivalence Problems Jochen Müller-Cohrs source 9
SUGI 1988 Estimation of Row and Column Scores in the Linear-by-Linear Model for Two-Way Ordinal Contingency Tables Charles S. Davis source 6
SUGI 1988 The Analysis of Complete Blocks Using Methods Based on Ranks Ronald L. Iman source 9
SUGI 1988 The Exact Friedman Test and Multiple Comparison Procedure in Macro Form George L. Barg,
Dale F. Kraemer		 source 6
SUGI 1988 Type I Error Rate for Small Sample Sizes Using Various Options of the CATMOD Procedure J. Paul Costiloe,
Andrew J. Cucchiara,
Susan J. Kenny		 source 4
SUGI 1986 Comparing Parameter Estimates Between Linear Models John E. Teberg source 7
SUGI 1986 Programs for the GMANOVA and Extended GMANOVA Models Vernon M. Chinchilli,
Ronald K. Elswick		 source 8
SEUGI 1985 Test Procedures for Model Selection and Model Validation Wil Velding source 23
SUGI 1985 A Time Series Approach to Modeling Daily Peak Electricity Demands Michael F. Jacob source 6
SUGI 1985 Application of the SAS System to Regression Analysis of Tumor Prevalence Data Saeid B. Amini,
Debra L. Palka		 source 7
SUGI 1985 PROC PECAN - A SAS Procedure Sivaram Kalyandrug,
Jay H. Lubin		 source 8
SUGI 1985 SAS Software for Stratified Analysis William M. Stanish source 6
SUGI 1984 A SAS Program for Non parametric Tests for Homogeneity of Dose Response Growth Curves Saeid B. Amini,
Kantilal M. Patel		 source 6
SUGI 1984 Analysis of Covariance-Models, Strategies and Interpretations George A. Milliken source 10
SUGI 1984 Developing A Computer Cost Distribution Method Using the MICS Data Base Anne N. Bluth,
Jean L. Waits		 source 6
SUGI 1984 Power Analysis for Linear Models: The Time Has Come Virginia I. Lohr,
Ralph G. O'Brien		 source 7
SUGI 1984 REPREG: A Repeated Measures Regression Program Randy L. Carter,
James T. Love		 source 6
SUGI 1984 Using SAS Software To Do Non-Parametric Statistics Gerald R. Hobbs source 8
SUGI 1983 Effect Size and Power in Two Factor Nonorthogonal ANOVA: A Monte Carlo Investigation Margaret J. Martin,
William A. Powers		 source
SUGI 1983 PROC MATRIX as an Instructional Tool in a Multivariate Statistics Course for Social Scientists Robert S. Barcikowski,
Randall R. Robey		 source 6
SUGI 1983 Randomization Tests Robert M. Hamer source 9
SUGI 1983 SAS Macros for F-test Power Computations in Balanced Experimental Designs Andrew J. L. Cary source
SUGI 1983 The Use of Rank Analysis of Covariance in Analyzing Censored Survival Data Saeid B. Amini,
Peter A. Lachenbruch,
Robert F. Woolson		 source 7
SUGI 1982 Repeated Measures ANOVA: The Multivariate Approach S. Paul Wright source 4
SUGI 1981 How to Use SAS for ANOVA of Mixture Problems Mark L. Tiede source 7
SUGI 1981 PROC RANDOMTEST: A SAS Procedure Performing Randomization Tests Robert M. Hamer source 6
SUGI 1981 The Effect of Sample Size on the True Alpha Level with FUNCAT: A Simulation Study John L. Stedl source 4
SUGI 1980 A SAS Macro for Computing the Kappa Statistic to Assess Reliability John Helzer,
John Rice,
Edward L. Spitznagel		 source 5
SUGI 1979 Analysis of Covariance of Incomplete Data in Experiments with Repeated Measurements in Clinical Trials Harji I. Patel source 5
SUGI 1979 Application of Stepwise MANOVA and MANCOV Using SAS Chandu M. Patel source 9

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