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significance level

173 papers and 1 presentation; 166 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 US 2026 Is There Really Any Benefit to Stratified Randomisation in Practice? Pavankumar Bhagat source
presentation source		 9
PHUSE EU 2025 Is There Really Any Benefit to Stratified Randomisation Compared to Simple Randomisation with Covariate Adjustment? Pavankumar Bhagat source
presentation source		 9
PharmaSUG 2025 A SAS Macro Calculating Confidence Intervals of the Difference in Binomial Proportions from Stratified Analysis using the Miettinen & Nurminen Method with Cochran-Mantel-Haenszel Weights Mikhail Melikov,
Brian Mosier		 source 9
PharmaSUG 2025 Promising Zone Designs for Sample Size Re-estimation in Clinical Trials: Graphical Approaches Using SAS Zhao Yang,
Shivani Nanda		 source 18
PharmaSUG 2024 Versatile and efficient graphical multiple comparison procedures with {graphicalMCP} Ethan Brockmann source 3
PHUSE EU 2023 Size matters - sample size calculation with SAS and R Fenja Seither source
presentation source		 4
PHUSE US 2023 Handling Multiple Adaptations in One Clinical Trial Parvee Kumar,
Shrutimita Pokhariyal		 source
presentation source		 6
PharmaSUG 2021 Build a model: Introducing a methodology to develop multiple regression models using R in oncology trial analyses Girish Kankipati,
Jai Deep Mittapalli		 source 20
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 2021 SAS Time Series Analysis & Forecasting (TSAF) at the Canada Revenue Agency (CRA), with COVID impacts Jason A. Oliver source
presentation		 22
SGF 2020 Bayesian Sequential Monitoring of Clinical Trials Using SAS Matthew A. Psioda source 13
SGF 2019 Screening, Transforming, and Fitting Predictors for the Cumulative Logit Model Bruce S. Lund source 21
SCSUG 2018 Machine Learning in Litigation Prediction - Workers' Compensation Litigation Propensity Predictive Model Mei Najim source 17
PHUSE EU 2018 Sample Size: A Couple More Hints to Handle it Right Using SAS and R Andrii Artemchuk source
presentation source		 11
MWSUG 2018 Screening, Transforming, and Fitting Predictors for Cumulative Logit Model Bruce S. Lund 22
SGF 2018 A SAS Macro Implementation of a Test for Co-directional Interactions Julia Sharp,
Patrick Gerard,
Bereket Tesfaldet		 source 16
SGF 2018 Claim Analytics: A Litigation Prediction Case Study Mei Najim source 18
SGF 2018 Regime-Switching Models: Capturing Structural Changes in Time Series Xilong Chen,
Ji Shen		 source 14
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 The Model Statistician Insights into Model Selection Techniques in Clinical Trials Peter Williams source
presentation source		 6
MWSUG 2017 Claim Analytics Mei Najim 18
MWSUG 2017 Logistic Model Selection with SAS PROC's LOGISTIC, HPLOGISTIC, HPGENSELECT Bruce S. Lund 18
WUSS 2017 Variance Ratio Estimation Using the PRECMOD SAS Macro Jesse Albert Canchola,
Pari Hemyari		 source 12
PharmaSUG 2017 Multiplicity Controlled Analyses Using SAS/IML Xingxing Wu,
Hangtao Xu		 source 8
SGF 2017 %SURVEYGENMOD Macro: An Alternative to Deal with Complex Survey Design for the GENMOD Procedure Alan Ricardo da Silva source 28
SGF 2017 Continuous Predictors in Regression Analyses Ruth Croxford source 12
SGF 2017 Multivariate Time Series: Recent Additions to the VARMAX Procedure Xilong Chen,
Stefanos Kechagias		 source
zip		 14
SGF 2017 Property and Casualty Insurance Predictive Analytics in SAS Mei Najim source 17
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 Statistical Model Building for Large, Complex Data: Five New Directions in SAS/STAT Software Robert N. Rodriguez source 23
PHUSE EU 2016 Multiplicity Issues in Clinical Trials - Look at it with a Magnifying Glass! Madhusudhan Bandi source
presentation source		 6
MWSUG 2016 An Analysis of the Repetitiveness of Lyrics in Predicting a Song's Popularity Drew Doyle 12
MWSUG 2016 Property and Casualty Insurance Predictive Analytics in SAS Mei Najim 17
WUSS 2016 Statistical Model Building for Large, Complex Data: Four New Directions in SAS/STAT Software Robert N. Rodriguez source 23
PharmaSUG 2016 Mixed Effects Models Yan Wang source 7
SGF 2016 A Property and Casualty Insurance Predictive Modeling Process in SAS Mei Najim source 14
SGF 2016 Analyzing Non-Normal Binomial and Categorical Response Variables under Varying Data Conditions Niloofar Ramezani source 16
SGF 2016 SAS Macro for Generalized Method of Moments Estimation for Longitudinal Data with Time-Dependent Covariates Katherine Cai,
Jeffrey Wilson		 source 9
SGF 2016 Statistical Model Building for Large, Complex Data: Five New Directions in SAS/STAT Software Bob Rodriguez source 23
MWSUG 2015 A Property & Casualty Insurance Predictive Modeling Process in SAS Mei Najim 14
MWSUG 2015 Intuitive Demonstration of Statistics through Data Visualization of Pseudo-Randomly Generated Numbers in R and SAS Jack Sawilowsky 11
SESUG 2015 An Empirical Comparison of Multiple Imputation Approaches for Treating Missing Data in Observational Studies Yan Wang,
Seang-Hwane Joo,
Jeffrey D. Kromrey		 source 20
SESUG 2015 ANOVA_Robust: A SAS Macro for Various Robust Approaches to Testing Mean Differences in One-Factor ANOVA Models Thanh V. Pham,
Eun Sook Kim,
Diep T. Nguyen,
Yan Wang,
Jeffrey D. Kromrey,
Yi-Hsin Chen		 source 14
WUSS 2015 Sample Size Convergence of Denominator Degrees of Freedom Method Options in SAS PROC MIXED Timothy Banh source 13
PharmaSUG CN 2015 Why Statistical Analysis Plan (SAP) should be comprehensive. Riddhi Merchant,
Ranjith Prayankotveettil		 6
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 A Genetic Algorithm for Data Reduction Lisa Henley source
zip		 7
SGF 2015 An Empirical Comparison of Multiple Imputation Approaches for Treating Missing Data in Observational Studies Patricia Rodríguez de Gil,
Shetay Ashford,
Chunhua Cao,
Eun Sook Kim,
Rheta Lanehart,
Reginald Lee,
Jessica Montgomery,
Yan Wang		 source 20
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
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 Strimmed_t: A SAS Macro for the Symmetric Trimmed t Test Diep T. Nguyen,
Anh P. Kellermann,
Eun Sook Kim		 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
WUSS 2014 Reanalysis of Ecological Data from the 1989 China Study Using SAS Enterprise Guide Thomas E. Billings source 17
SGF 2014 Analysis of Data with Overdispersion Using SAS [presentation] Jorge Morel source 67
SGF 2014 Automatic and Efficient Post-Campaign Analyses By Using SAS Macro Programs Justin Jia,
Amanda Lin		 source 12
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
SGF 2014 Trimmed_t: A SAS Macro for the Trimmed T-Test Patricia Rodríguez de Gil,
Anh P. Kellermann,
Diep T. Nguyen,
Eun Sook Kim,
Jeffrey D. Kromrey		 source 13
WUSS 2013 An Algorithm for ARIMA Dynamic Regression Variable Selection Ross Bettinger source 14
MWSUG 2013 Power Trip: A Road Map of PROC POWER Melissa Plets,
Julie Strominger		 4
PharmaSUG 2013 Combining Analysis Results from Multiply Imputed Categorical Data Bohdana Ratitch,
Ilya Lipkovich,
Michael O'Kelly		 source 19
SGF 2013 High Performance Statistical Modeling Bob Rodriguez,
Robert A. Cohen		 source 19
SGF 2013 The Value of Neighborhood Information in Prospect Selection Models: Investigating the Optimal Level of Granularity Dirk Van den Poel,
Philippe Baecke		 source 15
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
NESUG 2012 A SAS Program to Construct Simultaneous Confidence Intervals of Relative Risk for Multiple Adverse Events Xiaoli Lu 6
SESUG 2012 PROC TTEST (Old Friend), What Are You Trying to Tell Us? Diep T. Nguyen source 12
WUSS 2012 Automobile Sales Modeling using Granger-Causality Graph with PROC VARMAX in SAS 9.3 Akkarapol Sa-ngasoongsong source 10
PharmaSUG 2012 Automated forward selection for Generalized Linear Models with Categorical and Numerical Variables using PROC GENMOD Manuel Sandoval source 5
WUSS 2011 ChiD, A Chi-2 - Based Discretization Algorithm Ross Bettinger source 9
PHUSE EU 2011 Estimation of relative potency in a 4-point parallel line assay Stefano Vezzoli source
presentation source		 11
PHUSE EU 2011 Modifying Results of proc glm with proc template Catalina Mejia Herrera,
Volker Harm		 source
poster source		 7
NESUG 2011 Combining the Results from Multiple SAS PROCs into a Publication Quality Table Robert Kabacoff 20
NESUG 2011 Statistical Approach to Biosurveillance in Crisis: What is Next? Ernest S. Shtatland,
Timur Shtatland		 14
SGF 2011 Living with Generalized Linear Mixed Models Walter W. Stroup source 18
WUSS 2010 Planned Contrasts and Post Hoc Tests in MANOVA Made Easy Chii-Dean Joey Lin source 8
PHUSE EU 2010 Useful Tips for Analysis of Variance (ANOVA) in Multicentre, Placebo Controlled Clinical Trials Joanna Romaniuk source
presentation source		 12
PharmaSUG 2010 Assessing superiority/futility in a clinical trial: from multiplicity to simplicity with SAS Philip J. d'Almada,
Laura Aberle		 9
SGF 2010 Dancing the Sample-Size Limbo with Mixed Models: How Low Can You Go? Bethany A. Bell,
Grant B. Morgan,
Jason A. Schoeneberger,
Brandon L. Loudermilk,
Jeffrey D. Kromrey,
John M. Ferron		 source 11
SGF 2010 Using New JMP Interactive Modules to Teach Concepts in Introductory Statistics Amy G. Froelich,
William M. Duckworth		 source 9
PHUSE EU 2009 Analysis of a 3-period 2-treatment pharmacokinetic study to assess scaled average bioequivalence Jochen Müller-Cohrs source 11
PNWSUG 2009 Building Multiple Linear Regression Models - Food for Thought Colleen E. McGahan,
Mei Chong		 11
WUSS 2009 Discriminant Analysis, a Powerful Classification Technique in Predictive Modeling George C. J. Fernandez source 20
PharmaSUG 2009 Illustrative Logistic Regression Examples using PROC LOGISTIC: New Features in SAS/STAT 9.2 Robert G. Downer,
Patrick J. Richardson		 11
SGF 2009 Designing Experiments for the Process George A. Milliken source 27
SGF 2009 Parsimony vs. Complexity: A Monte Carlo Investigation of Hierarchical and Cross-Classified Modeling Using SAS PROC MIXED Bethany A. Bell,
Corina M. Owens,
Jeffrey D. Kromrey,
John M. Ferron		 source 12
SGF 2009 SAS and JMP Integration for Implementing a Clustering Algorithm for High Dimension Low Sample Size Data George von Borries source 11
PHUSE EU 2008 Evaluation of Diagnostic Agents: a SAS Macro for Sample Size Estimation Using Exact Methods Stefano Vezzoli source 8
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
PharmaSUG 2008 Sample Size Estimation for Trials of Recurrent Events Kuolung Hu 8
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
SGF 2008 Using PROC GENMOD to find a fair house insurance rate for the Norwegian market Sverre Grevskott,
Sten Sture		 source 9
NESUG 2007 Common Pitfalls in SAS Statistical Analysis Macros in a Mass Production Environment Huei-Ling Chen,
Aiming Yang		 9
SESUG 2007 Information Criteria Methods in SAS for Multiple Linear Regression Models Dennis J. Beal source 10
WUSS 2007 An Example of SAS Application in Public Health Research --- Predicting Smoking Behavior in Changqiao District, Shanghai, China Ding Ding source 8
PNWSUG 2007 An Introduction to Statistical Power Calculations for Linear Models with SAS 9.1 Robin High 17
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 SAS Macros to Detect and Evaluate Statistical Outliers Marek K. Solak 8
SGF 2007 Visualizing Statistical Inference Using SAS Barbara G. Schneider,
Kristan A. Schneider		 source 10
PNWSUG 2006 You Can't Stop Statistics: SAS/STAT Software Keeps Rolling Along Maura E. Stokes,
Robert N. Rodriguez		 32
SESUG 2006 A Simulation Study of Sequential Testing Approaches in Genetics Andres Azuero,
David T. Redden		 source 8
NESUG 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 32
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 %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 Application of Proc Discrim and Proc Logistic in Credit Risk Modeling Jin Li source 9
SUGI 2006 Introducing the GLMSELECT Procedure for Model Selection Robert A. Cohen 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
SUGI 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 source 32
SESUG 2005 SAS Code to Select the Best Multiple Linear Regression Model for Multivariate Data Using Information Criteria Dennis J. Beal,
Oak Ridge		 source 6
PHUSE EU 2005 Power calculation of non-inferiority trials assuming poisson distributions Corinna Miede,
Jochen Müller-Cohrs		 source 11
WUSS 2005 Analysis of Group-Randomized Designs: A clinic-based breast cancer rescreening example Jesse Albert Canchola,
Regina Otero-Sabogal		 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 Perusing, Choosing, and Not Mis-using: Non-parametric vs Parametric tests in SAS Venita DePuy,
Paul Pappas		 5
MWSUG 2004 Calculation and Assessment of Inferential Test Statistics for Meta Analysis of Cross-Over Clinical Trials Hurley 8
MWSUG 2004 The Randomization Test Procedure: Testing for a Non-Zero Quadratic Effect Ling Huang,
Paul W. Johnson		 8
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
WUSS 2003 Logistic regression model-building strategies for predicting regular mammography screening adherence among uninsured immigrant women Jesse Albert Canchola,
Regina Otero-Sabogal,
Desiree Owens,
Farzaneh Tabnak		 source 6
SESUG 2003 An Interactive Approach to Multiple Comparison Procedures Peter P. Davis source 4
SESUG 2003 EFFECT_CI: A SAS Macro for Constructing Confidence Intervals Around Standardized Mean Differences Around Standardized Mean Differences source 6
NESUG 2003 Backwards Manual Selection (%bms): A Macro for Selecting Logistic Regression Models to Address Epidemiological Research Questions Janice Hegewald,
Anette Pfahlberg,
Wolfgang Uter		 5
SUGI 2003 A SAS/IML Program for Mapping QTL in Line Crosses Chenwu Xu,
Shizhong Xu		 source 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 A Randomization-Test Wrapper for SAS PROCs Christopher F. Ake,
David L. Cassell		 source 4
SUGI 2002 A Randomization-Test Wrapper for SAS PROCs David L. Cassell source 4
SCSUG 2001 Using the SAS System to Study the Gender and Level Measurement Equivalence of a Multi-rater Survey Jim Penny 6
SUGI 2001 Approximations to Distributions of Test Statistics in Complex Mixed Linear Models Using SAS PROC MIXED G. Bruce Schaalje source 6
SUGI 2001 The Perils of Stepwise Logistic Regression and How to Escape Them Using Information Criteria and the Output Delivery System Ernest S. Shtatland,
Mary B. Barton,
Emily M. Cain		 source 6
SESUG 2000 Performing Exact Logistic Regression with the SAS R /AD System Robert E. Derr source 10
PharmaSUG 2000 Using SAS for the Statistical Analysis of a Bivariate Primary Endpoint in a Clinical Trial of Chronic Fatigue Syndrome (CFS) Naum M. Khutoryansky,
David R. Strayer,
William A. Carter		 3
SESUG 1998 Multiple Comparison Procedures with SAS Chung-Kuei Chang 9
SUGI 1998 Programming and Other Features of the JMP Calculator Daniel J. Obermiller 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
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
NESUG 1997 Information as a Unifying Measure of Fit in SAS Statistical Modeling Procedures Ernest S. Shtatland 7
SESUG 1997 Identifying Clinical Practice Improvement Opportunities Using Resampling Techniques in PROC MULTTEST Gregory L. Pearce 6
PharmaSUG 1997 Controlling for Experimentwise Type II Error: Optimum Patient Allocation for a Three Armed, Parallel, Randomized, Controlled Clinical Trial with Binary Outcomes Benjamin Duncan 13
SUGI 1997 LOGITSE: A SAS Macro for Logistic Regression Modeling in Complex Surveys Jesse Albert Canchola,
Brian D. Marx,
Joseph A. Catania		 source 6
SUGI 1997 Using Resampling Techniques in PROC MULTITEST to Evaluate Surgeon SpecificResults Following Coronary Artery Bypass Graft (CABG) Surgery Gregory L. Pearce,
Peter H. Westfall		 source 5
PNWSUG 1996 Health Care Applications of Statistical Process Control: Examples Using the SAS System Robert N. Rodriguez 16
SEUGI 1996 A SAS/AF software application for sample size and power determination Fiona Portwood source 8
SUGI 1994 Nonstandard Uses of PROC MULTTEST: Permutational Peto Tests; Permutational and Unconditional T and Binomial Tests Peter H. Westfall,
Keith A. Soper		 source 4
WUSS 1993 A SAS Macro for Power and Sample Size Calculations for Historically-Controlled Studies with Dichotomous Endpoints Andrew Dagis,
Chul W. Ahn		 source 6
WUSS 1993 A SAS Program for Sample Size Determination for Equivalence Trials Akiko Tomita,
Chul W. Ahn,
Joyce C. Niland		 source 6
SEUGI 1993 Generalised Linear Model and Correspondence Analysis. Application to the Goitre Problem in Mali Michel Tenehaus source 28
SEUGI 1993 The Analysis of Repeated Measures Designs Using the SAS System Alun Bedding source 9
SEUGI 1993 The Closed Test Procedure Hans Ulrich Burger source 13
SEUGI 1993 Variable Selection Techniques Implemented in Procedures of SAS Software Olaf Gefeller source 9
SUGI 1993 A SAS Macro Procedure to Summarize the Output of Logistic Regression Models Benjamin I. Broder,
Chih-Ping Chou		 source 6
SUGI 1993 An Interactive SAS/AF System for Sample Size Calculation Deborah J. Matos source 6
SUGI 1993 Strategies for Performing Multiple Comparisons on Means Jenny Aquino Kendall source 7
SEUGI 1992 Cluster Characterisation wit the SAS System Factorial Analysis Solves the Problem of Synthesis Data and hte Typology of Clustering Method Christian Derquenne source 17
SUGI 1992 POWER: A Simple Macro for Power and Sample Size Calculations Kristin Latour source 5
SEUGI 1991 Probability Density Distribution of Airborne Pollen Grains Danilo Manco,
P. Mandrioli,
S. Corsi,
T. Tirabassi		 source 12
SEUGI 1991 Statistical Procedures in Testing the Performance of Crop Growth Simulation Models Ferenc Zemankovics,
Zsuzsanna Bacsi		 source 15
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
SUGI 1991 The Null Hypothesis and Regression-Based Predictions James A. Penny source 4
SEUGI 1990 Multivariate Outlier Detection Christian Derquenne source 9
SUGI 1988 Power Analysis in an Enhanced GLM Procedure: What It Might Look Like Ralph G. O'Brien,
S. Paul Wright		 source 6
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 1988 Using the SAS System for Analysis of Means Donna O. Fulenwider source 8
SUGI 1986 Power Analysis for Linear Models Ralph G. O'Brien source 8
SUGI 1986 Using the SAS System to Perform Power Analyses for Log-Linear Models Ralph G. O'Brien source 7
SEUGI 1985 Test Procedures for Model Selection and Model Validation Wil Velding source 23
SUGI 1984 Analysis of Covariance-Models, Strategies and Interpretations George A. Milliken source 10
SUGI 1984 Generating Bivariate Exponential Distributions via SAS Macros with Application to Repeated Measures Designs Melvin Moeschberger,
P. K. Tandon		 source 4
SUGI 1984 Statistics Automation: Using SAS Macros to Produce Report-Ready Statistical Analysis Tables Walter W. Offen source 5
SUGI 1983 Practical Methods for Multiple Comparisons in MANOVA Keith E. Muller source 4
SUGI 1981 Type I Error Rates for the Unequal Variance T Test J. Philip Miller,
Robert P. Parks,
Reimut Wette		 source
SUGI 1979 The Procedure DURBIN M. E. McBride,
Robert P. Parks		 source 6
SUGI 1979 The South Carolina Papmobile Program: A SAS Application Bonnie Pleasants Dumas,
M. Clinton Miller III,
Janet M.' Riggs,
Sue L. Stramm,
Paul B. Underwood Jr.		 source 6

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