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degrees of freedom

319 papers and 5 presentations; 311 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG CN 2026 A Comprehensive R Shiny Application for Pharmacokinetic Analysis Keyi Zhang source 17
PHUSE EU 2025 GLMM and GEE for Categorical Repeated Measures - Linking SAS and R Miriam Amor source
presentation source		 16
PharmaSUG 2025 An End-to-End Workflow for TFL Generation using R: MMRM Applications and Comparative Insights with SAS Kai Lei,
Jiaqiang Zhu,
Margaret Huang		 source 14
SESUG 2024 A Comprehensive Analysis of the Relationship Between Depression, Sleep Deprivation, and Self-Esteem Using Advanced Statistical Methods Muslihat Adejoke Gaffari source 43
PharmaSUG CN 2024 Implementation on concentration-QTc modeling Daoqing Li,
Deli Cao		 source 20
PHUSE US 2024 Spline Analysis to Understand the Non-linear Relationship in Clinical Research Anwaya Joshi source
presentation source		 9
SESUG 2023 Wald Tests in Mixed Models - a Warning David A. Dickey source 20
PHUSE US 2023 Mixed Model Repeated Measures (MMRM) Analysis Package in R Julia Dedic source
presentation source		 7
PHUSE EU 2022 Performance Traps in Multiple Imputation Analysis Using Mixed Model Repeated Measures [presentation] Piotr Karasiewicz source
video		 17
SESUG 2021 Screening, Binning, Transforming Predictors for a Generalized Logit Model Bruce S. Lund source 17
SGF 2021 Weight of Evidence, Dummy Variables and Degrees of Freedom Bruce S. Lund source
sas
presentation
pdf		 15
PHUSE EU 2020 An R Shiny Application: Platform-independent Tool to Produce a Statistical Manuscript with R and Validation with SAS [presentation] Abu Zafar Moahmmad Sami source
video		 23
PHUSE EU 2020 Inlier Analysis Using Mahalanobis Distance in Central Monitoring [presentation] Abhyuday Chanda source
video		 19
SGF 2020 A Warning about Wald Tests David A. Dickey source 20
SGF 2020 Don't Just Survive, Thrive with This Multi-Stratified Cox Proportional Hazards Model Macro Katelyn J. Ware,
Paul Egeler		 source 11
PHUSE EU 2019 Leaders - Wanted Detlef Nehrdich source
presentation source		 2
PHUSE EU 2019 Mixed Model Repeated Measures (MMRMs) Mrudula Suryawanshi source
presentation source		 19
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 Logistic Regression, Basics and Beyond Bruce S. Lund 35
MWSUG 2019 Simulating Skewed Multivariate Distributions Using SAS: Cases of Lomax, Mardia's Pareto (Type I), Logistic, Burr and F Distributions Zhixin Lun,
Ravindra Khattree		 11
PharmaSUG 2019 Application of Criterion I2 in Clinical Trials Using SAS Igor Goldfarb,
Mitchell Kotler		 source 6
SGF 2019 A Selective Overview of Panel Data with Applications in SAS Oral Capps source 26
SGF 2019 IFRS9: Using SAS/ETD Software and SAS Studio to Select Macro Economic Variables Julio Alberto Campa Vega Filho source 19
SGF 2019 Screening, Transforming, and Fitting Predictors for the Cumulative Logit Model Bruce S. Lund source 21
SGF 2019 Transforming Ordinal Predictors to Numeric For Binary Logistic Models Bruce S. Lund source 10
SGF 2019 Using SAS MACRO to Demonstrate Data Presentation Standards for Proportions Mary Ann Bush,
Nazik Elgaddal		 source 12
SESUG 2018 Comparison of SAS, SAS University Edition, and Microsoft Excel in Collaborative Data Analysis of Physical Properties by Scientist and Statistical Programmer John Schreiber source 6
SESUG 2018 Computing Predicted Values and Residuals from Data Sets Containing Classification Variables with Large Numbers of Levels Jamie McClave Baldwin,
Ramon C. Littell,
James McClave		 source 14
MWSUG 2018 Screening, Transforming, and Fitting Predictors for Cumulative Logit Model Bruce S. Lund 22
WUSS 2018 "Training Wheels" for learning mixed models YuTing Tian,
Russell M. Lavery		 source 20
WUSS 2018 Combined Predictor Selection for Multiple Clinical Outcomes Using PHREG L. Grisell Diaz-Ramirez,
Siqi Gan,
Sei J. Lee,
Alexander Smith,
John Boscardin		 source 14
SGF 2018 A SAS Macro Implementation of a Test for Co-directional Interactions Julia Sharp,
Patrick Gerard,
Bereket Tesfaldet		 source 16
SGF 2018 Insights into Using the GLIMMIX Procedure to Model Categorical Outcomes with Random Effects Kathleen Kiernan source 23
SGF 2018 New Ways to Incorporate Continuous Predictors in Generalized Linear Models Anthony Salis,
Angela Wu,
Gordon Johnston		 source 15
SGF 2018 The Function Selection Procedure Bruce S. Lund source 11
SESUG 2017 Detecting Outlying Data in Proficiency Studies with SAS Stacey Slone source 11
MWSUG 2017 Correlation and Structural Equation Analysis on the Effects of Anti-Discrimination Policies and Resources on the Well Being of Lesbian, Gay, and Bisexual College Students Brandy R. Sinco,
Michael Woodford,
Jun Sung Hong,
Jill Chonody		 22
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
SGF 2017 A SAS Macro for Covariate Specification in Linear, Logistic, and Survival Regression Sai Liu source
zip		 19
SGF 2017 Continuous Predictors in Regression Analyses Ruth Croxford source 12
SGF 2017 Geospatial Analysis: Linear, Nonlinear, or Both? Kelsey Osterloo,
Angela Wu		 source 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
SGF 2017 Random Forests with Approximate Bayesian Model Averaging Tiny Du Toit,
Andre De Waal		 source 11
SGF 2017 Weight of Evidence Coding for the Cumulative Logit Model Bruce S. Lund source 15
SESUG 2016 Mixture Priors 101: Using SAS to Obtain Powerful Frequentist Inferences with Bayesian Methods Tyler Hicks,
Jeffrey D. Kromrey		 source 8
MWSUG 2016 Weight of Evidence Coding and Binning of Predictors in Logistic Regression Bruce S. Lund 16
PharmaSUG 2016 What makes a "Statistical Programmer" different from a "Programmer" Arun Raj Vidhyadharan,
Sunil Mohan Jairath		 source 12
SGF 2016 exSPLINE That: Explaining Geographic Variation in Insurance Pricing Carol Frigo,
Kelsey Osterloo		 source 6
SGF 2016 Finding and Evaluating Multiple Candidate Models for Logistic Regression Bruce S. Lund source
zip		 17
SGF 2016 Latent Class Analysis Using the LCA Procedure Patricia A. Berglund source 18
SGF 2016 PROC GLIMMIX as a Teaching and Planning Tool for Experiment Design Walter W. Stroup source
zip		 19
SGF 2016 Restricted Cubic Spline Regression: A Brief Introduction Ruth Croxford source 5
SGF 2016 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Phil Gibbs source 21
MWSUG 2015 Advanced Techniques for Fitting Mixed Models Using SAS/STAT Software Jill Tao,
Kathleen Kiernan,
Phil Gibbs		 18
MWSUG 2015 Fitting and Evaluating Logistic Regression Models Bruce S. Lund 26
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 Advanced Techniques for Fitting Mixed Models Using SAS/STAT Software Phil Gibbs,
Jill Tao,
Kathleen Kiernan		 source 18
WUSS 2015 Sample Size Convergence of Denominator Degrees of Freedom Method Options in SAS PROC MIXED Timothy Banh source 13
PharmaSUG 2015 MMRM: Macro for Selecting Best Covariance Structure with the Method of Interest Linga Reddy Baddam,
Sudarshan Reddy Shabadu,
Chunxue Shi		 source 7
SGF 2015 Advanced Techniques for Fitting Mixed Models Using SAS/STAT Software Kathleen Kiernan source 18
SGF 2015 Experimental Approaches to Marketing and Pricing Research Max Friedauer,
Jason Greenfield,
Yuhan Jia,
Joseph Thurman		 source 22
SGF 2015 Replication Techniques for Variance Approximation Taylor Lewis source 19
SGF 2015 Survival Analysis with Survey Data Joseph C. Gardiner source 17
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
MWSUG 2014 Preparing Interaction Variables for Logistic Regression Bruce S. Lund 9
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 An Intermediate Primer to Estimating Linear Multilevel Models Using SAS PROC MIXED Bethany A. Bell,
Whitney Smiley,
Mihaela Ene,
Genine L. Blue		 source 19
SGF 2014 Analyzing Data from Experiments in Which the Treatment Groups Have Different Hierarchical Structures Sharon Lohr,
Peter Schochet		 source 12
SGF 2014 Combining Type-III Analyses from Multiple Imputations Binhuan Wang,
Yixin Fang,
Man Jin		 source 6
SGF 2014 Measures of Fit for Logistic Regression Paul D. Allison source 12
SGF 2014 SAS for Bayesian Mediation Analysis Miočević Milica,
David P. MacKinnon		 source 11
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 Automated Forward and Best Subset Selection for Generalized Additive Models using PROC GAM William Garner source 11
WUSS 2013 Subsampling with a Survey Sampling Design? DOMAIN Idea is To Get an Appropriate Variance Estimate Anita Rocha source 6
SCSUG 2013 Preparing Interaction Variables for Logistic Regression Bruce S. Lund source 14
SESUG 2013 An Intermediate Primer to Estimating Linear Multilevel Models Using SAS PROC MIXED Bethany A. Bell,
Whitney Smiley,
Mihaela Ene,
Phillip R. Sherlock,
Genine L. Blue		 source 13
SESUG 2013 Analyzing Multiway Models with ANOM Slicing Peter S. Wludyka source 11
PHUSE EU 2013 Around the World in Three Statistical Models: Determing the Level of Measurement Invariance Across Countries of a PRO Instrument Dirk Heerwegh source
presentation source		 29
MWSUG 2013 Adventures in Path Analysis and Preparatory Analysis Brandy R. Sinco,
Phillip L. Chapman		 19
MWSUG 2013 An Analysis of Risk Behavior Trends and Mental Health in American Youth Using PROC SURVEYLOGISTIC Deanna Naomi Schreiber-Gregory 15
MWSUG 2013 Analyzing Categorical Variables from Complex Survey Data Using PROC SURVEYFREQ Taylor Lewis 20
MWSUG 2013 Analyzing Continuous Variables from Complex Survey Data Using PROC SURVEYMEANS Taylor Lewis 14
NESUG 2013 Analyzing Continuous Variables from Complex Survey Data Using PROC SURVEYMEANS Taylor Lewis 15
PharmaSUG 2013 Combining Analysis Results from Multiply Imputed Categorical Data Bohdana Ratitch,
Ilya Lipkovich,
Michael O'Kelly		 source 19
PharmaSUG 2013 Reliability Assessment of Image Data in Oncology and Psychology Studies Li Zhang,
David Shen,
Gary Chen		 source 7
SGF 2013 A Multilevel Model Primer Using SAS PROC MIXED Bethany A. Bell,
Jason A. Schoeneberger,
Mihaela Ene,
Whitney Smiley		 source 19
SGF 2013 A SAS Macro for Computing Pooled Likelihood Ratio Tests with Multiply Imputed Data Stephen Mistler source 10
SGF 2013 Being Continuously Discrete (or Discretely Continuous): Understanding Models with Continuous and Discrete Predictors and Testing Associated Hypotheses David J. Pasta source 19
SGF 2013 Considerations and Techniques for Analyzing Domains of Complex Survey Data Taylor Lewis source 12
SGF 2013 Joint Modeling of Mixed Outcomes in Health Services Research Joseph C. Gardiner source 16
NESUG 2012 Efficiently Screening Predictor Variables for Logistic Models Steven Raimi,
Bruce S. Lund		 13
NESUG 2012 Using SAS to Test, Probe and Display Interaction Effects in Regression Timothy Gravelle 16
SESUG 2012 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Kathleen Kiernan,
Jill Tao,
Phil Gibbs		 source 18
MWSUG 2012 Modeling Complex Survey Data Taylor Lewis 16
MWSUG 2012 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Kathleen Kiernan,
Jill Tao,
Phil Gibbs		 18
WUSS 2012 Analysis of Dietary Patterns over Freshman Year of College Chelsea Lofland source 8
WUSS 2012 Being Continuously Discrete (or Discretely Continuous): Understanding Models with Continuous and Discrete Predictors and Testing Associated Hypotheses David J. Pasta source 19
SGF 2012 Enhanced Data Analysis Using SAS ODS Graphics and Statistical Graphics Patricia A. Berglund source 20
SGF 2012 Introduction to Predictive Modeling with Examples David A. Dickey source 14
SGF 2012 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Kathleen Kiernan,
Jill Tao,
Phil Gibbs		 source 18
SGF 2012 Using PROC GAM to Forecast Claims Reserves in the Runoff Triangles Ling Huang source 7
SGF 2012 Using SAS for the Design, Analysis, and Visualization of Complex Surveys Sharon Lohr source 15
SESUG 2011 Acknowledging the Unknown: A SAS Macro for Investigating Omitted Variable Bias in Two-Level Linear Models Jason A. Schoeneberger,
Bethany A. Bell,
Jeffrey D. Kromrey		 source 16
WUSS 2011 SAS Macros for the Working Statistician William Krebs source 9
PHUSE EU 2011 Estimation of relative potency in a 4-point parallel line assay Stefano Vezzoli source
presentation source		 11
PharmaSUG 2011 Caution: Hazards Crossing! Using the Renyi Test Statistic in Survival Analysis Matthew Davis,
Sharon X. Xie		 source 9
SGF 2011 An Introduction to Survival Analysis Using Complex Sample Survey Data Patricia A. Berglund source 20
SGF 2011 Living with Generalized Linear Mixed Models Walter W. Stroup source 18
SGF 2011 PATH and LISMOD Languages in SAS PROC TCALIS for Multigroup Comparisons Fei Gu,
Wei Wu		 source 10
SGF 2011 Perl Regular Expression in SAS Macro Programming Yanwei Zhang source 7
SGF 2011 Those Confounded Interactions: Building and Interpreting a Model with Many Potential Confounders and Interactions David J. Pasta source 13
SGF 2011 Using SAS PROC TCALIS for Multigroup Structural Equation Modeling with Mean Structures Fei Gu,
Wei Wu		 source 16
WUSS 2010 An Introduction to Statistical Tests for the SAS Programmer Sara Beck source 10
PHUSE EU 2010 Useful Tips for Analysis of Variance (ANOVA) in Multicentre, Placebo Controlled Clinical Trials Joanna Romaniuk source
presentation source		 12
MWSUG 2010 PROC MIXED: Underlying Ideas with Examples David A. Dickey 19
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 2010 SAS Programmer's check list-Quick checks to be done before the statistical reports go off the SAS Programmer's table Thomas T. Joseph 7
PharmaSUG 2010 Using SAS Proc Power to Perform Model-based Power Analysis for Clinical Pharmacology Studies Peng Sun 11
SGF 2010 Building Latent Growth Models Using PROC CALIS: A Structural Equation Modeling Approach Teck Kiang Tan,
Trivina Kang,
David Hogan		 source 19
SGF 2010 Principles of Proper Inferences from Complex Survey Data Taylor Lewis source 9
SGF 2010 Using the SAS Survey Procedures for Subpopulation Analysis with Jackknife Repeated Replication Methods in SAS 9.2 Zhuoqiao Wang,
William R. Waldron		 source 9
SESUG 2009 Constructing Baseline of Customer's Hourly Electric Usage in SAS Yuqing Xiao,
Bob Bolen,
Diane Cunningham,
Jiaying Xu		 source 7
SESUG 2009 PROC MIXED: Macro to assess fixed and random effects for significance using the Likelihood Ratio test and the approximate Mixture Method Barbara H. Bardenheier source 7
PNWSUG 2009 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell 11
WUSS 2009 Using SAS for Nonparametric Statistics Gerry Hobbs source 7
SGF 2009 Comparison of Features and Applications of Four Linear Models Procedures Larry W. Douglass source 19
SGF 2009 Designing Experiments for the Process George A. Milliken source 27
SGF 2009 Generalizations of Generalized Additive Model (GAM): A Case of Credit Risk Modeling Wensui Liu,
Jimmy Cela,
Chuck Vu		 source 14
SGF 2009 Learning When To Be Discrete: Continuous vs. Categorical Predictors David J. Pasta source 10
WUSS 2008 Learning When To Be Discrete: Continuous vs. Categorical Predictors David J. Pasta source 6
PHUSE EU 2008 A Collection of SAS Macros to Calculate Odds Ratios using Spline Regression Martin Gregory source 9
PNWSUG 2008 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell 11
PharmaSUG 2008 Automated SAS Macro for Adverse Event Logistic Regression Analysis Suhas R. Sanjee 8
SGF 2008 Generalized McNemar's Test for Homogeneity of Marginal Distributions Xuezheng Sun,
Zhao Yang		 source 10
SGF 2008 Horizon Estimation Using SAS Software Gary A. Foster,
Charles Goldsmith		 source 9
SGF 2008 PROC MIXED: Underlying Ideas with Examples David A. Dickey source 18
SESUG 2007 PROC MIXED: Underlying Ideas with Examples David A. Dickey source 19
WUSS 2007 Statistical Inference Illustrated Richard R. Allen source 19
WUSS 2007 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell source 11
PNWSUG 2007 An Introduction to Statistical Power Calculations for Linear Models with SAS 9.1 Robin High 17
SGF 2007 Growing Up Fast: SAS 9.2 Enhancements to the GLIMMIX Procedure Oliver Schabenberger source 20
SGF 2007 Improving Credit Scoring by Generalized Additive Model Wensui Cela,
Jimmy Liu		 source 9
SGF 2007 Using SAS PROC NLMIXED for Robust Regression Steven A. Chen,
Lingyun Gilbert		 source 9
PNWSUG 2006 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell 11
PHUSE EU 2006 Analysis of incomplete two-period crossover trials with SAS PROC MIXED Jochen Müller-Cohrs source 8
SESUG 2006 Combining PROC GENMOD Models with Multinomial Outcomes Using PROC MIANALYZE Marie Gantz source 7
SESUG 2006 Creating RTF Tables with Univariate Analyses of Multiply Imputed Data Marie Gantz source 14
WUSS 2006 Sample Survey Data and the Procs you OUGHT To Be Using David L. Cassell source 13
WUSS 2006 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell source 11
NESUG 2006 Survey Logistic Regression: Some SAS-SUDAAN Comparisons Xiuhua Chen 7
PharmaSUG 2006 From GLM to GLIMMIX-Which Model to Choose? Patricia B. Cerrito 7
SUGI 2006 AMMI Macros for Multiplicative Interaction Models Eun-Joo Lee,
Dallas E. Johnson		 source 10
SUGI 2006 Fixed Effects Regression Methods in SAS Paul D. Allison source 20
SUGI 2006 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell source 11
SESUG 2005 The Missing Link: Data Analysis with Missing Information Venita DePuy source 9
SESUG 2005 Using PROC GENMOD for Loglinear Smoothing Tim Moses,
Alina A. von Davier		 source 21
WUSS 2005 A Programmer's Guide to Statistical Procedures Jim Edgington source 4
WUSS 2005 Analysis of Group-Randomized Designs: A clinic-based breast cancer rescreening example Jesse Albert Canchola,
Regina Otero-Sabogal		 source 9
PharmaSUG 2005 Analyze Group-randomized Trial Data with Binary Outcome Using Weighted Paired t-test: A SAS Macro Don (Dongguang) Li 5
SUGI 2005 Statistical Methods in Diagnostic Medicine Using SAS Software Jayawant N. Mandrekar,
Sumithra J. Mandrekar		 source 8
SUGI 2005 Testing the Hypothesis of a Kroneckar Product Covariance Matrix in Multivariate Repeated Measures Data Anuradha Roy,
Ravindra Khattree		 source 11
NESUG 2004 Using PROC GENMOD for Loglinear Smoothing Tim Moses,
Alina A. von Davier		 17
PharmaSUG 2004 The Paired T-Test: Does PROC MIXED Produce the Same Results as PROC TTEST? Jack S. Nyberg 5
SUGI 2004 Bayesian Model Averaging Using SAS Software Melissa Whitney,
Ngo Long		 source 9
SUGI 2004 Model-Based Multiple Imputation Geoffrey Paulin,
Shirley Tsai,
Melissa Grance		 source 13
SUGI 2004 Repeated Measures Modeling with PROC MIXED E. Barry Moser source 20
MWSUG 2003 Using SAS Output Delivery System to Calculate the Probability Value for the F-Test Used to Compare Variance Components Sandra E. Weinert,
Timothy L. Beck		 8
PharmaSUG 2003 The Confidence in the 95% Confidence Interval of Mean Bhargavi A. Raghavan 2
SUGI 2003 Multilevel Designs and Their Analyses George A. Milliken source
WUSS 2002 A Macro to Perform a T-Test for Two Independent Samples Using Sufficient Statistics Lang-Feng Tsai source 5
WUSS 2002 Structural Equation Modeling: Easy Solutions Using SAS Shuqiang Zhang source 5
SUGI 2002 Neural Networks and Genetic Algorithms as Tools for Forecasting Demand in Consumer Durables Jerry Nickelsburg,
Paul D. McNelis		 source 6
WUSS 2001 Using SAS Functions for Power Analysis and Sample Size Estimation Mel Widawski source 5
SUGI 2001 Analysis of Count Data Using SAS Alexander Pedan source 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 Probabilistic Hindsight: A SAS Macro for Retrospective Statistical Power Analysis Kristine Y. Hogarty,
Jeffrey D. Kromrey		 source 10
SCSUG 2000 Repeated-Measures Analysis and PROC MIXED Shana Smith,
Torsten B. Neilands		 17
SESUG 2000 Computation of pvalues for Multiple Comparisons with a Control in the SAS System Jean G. Orelien source 9
SESUG 2000 SAS IML Code To Calculate an Upper Confidence Limit for Multivariate Statistical Distance Margaret Connolly,
Wyeth Lederle Vaccines,
Pearl River		 source 6
NESUG 2000 Methods for the Analysis of Clustered Ordinal Response Data Robert J. Gallop,
J. Richard Landis,
Thomas R. Ten Have		 7
NESUG 2000 Think Outside the Box: Analysis of Categorical Data Margaret Ann Goetz 5
WUSS 2000 SAS STAT applications in Econometrics Mathura Thillainathan,
George C. J. Fernandez		 source 10
WUSS 2000 Unemployment and the Money Supply: Estimating Lag Coefficients Using PROC PDLREG Jia L. Wang source 6
SEUGI 2000 Euro Blue Chips Index - A new benchmark for European Stock Markets [presentation] Emiliano Laruccia,
Marcello Esposito,
Stefania Carpi		 source 33
SEUGI 2000 SAS for Computer Aided Telephone Interview (CATI) [presentation] Gianluca Bo source 38
SUGI 2000 Analysis of Environmental Data Using JMP Andy Mauromoustakos source 6
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 Pseudo-Random Numbers: Out of Uniform Robert E. Johnson,
Hui Liu		 source 3
SESUG 1999 Using SAS to Perform the Analysis of Means for Variances Test Peter S. Wludyka source 6
WUSS 1999 Polychotomous Logistic Regression and the Creation of Odds Ratios and Confidence Intervals Using the SAS PROC CATMOD Besa Nushi source 5
WUSS 1998 A SAS/IML for Guttman Scale Analysis Dongyun Yang,
Chih-Ping Chou		 source 6
WUSS 1998 Constants for Two-Sided Normal Tolerance Intervals William N. Anderson source 6
WUSS 1998 New SAS Procedures for Analysis of Sample Survey Data Anthony B. An,
Donna L. Watts		 source 11
SESUG 1998 Multiple Comparison Procedures with SAS Chung-Kuei Chang 9
PNWSUG 1998 Stepwise Anything: Reading in Regression Procedure Output for Further Testing Ted Clay,
Linda Remy		 10
SEUGI 1998 Complementary use of log-linear modelling and correspondence analysis in SAS software Jon Paul Laka,
Izaskun Astondoa		 source 18
SUGI 1998 A SAS Macro Implementing an Extension of McNemar's Test for Clustered Data Michael L. Lieber,
Cindy Ashley		 source 6
SUGI 1998 An Information-Gain Measure of Fit in PROC LOGISTIC Ernest S. Shtatland,
Mary B. Barton		 source 6
SUGI 1998 Multivariate Analysis Using the MIXED Procedure S. Paul Wright source 5
SUGI 1998 New SAS Procedures for Analysis of Sample Survey Data Anthony B. An,
Donna L. Watts		 source 11
SCSUG 1997 A Generalization of the Stuart-Maxwell Test Stephen I. Black,
Mithat Gonen		 14
WUSS 1997 Testing Homogeneity of Variance Shuqiang Zhang source 4
NESUG 1997 Estimation of Direct, Period and Carryover Effects in Crossover Studies Mitchell Kotler 7
NESUG 1997 Using Logistic Regression to Test for Interaction in the Presence of Zero Cells Lisa Suchower 10
SEUGI 1997 The correction of wrong results obtained with the "Agree"option in PROC FREQ for contingency tables with empty rows and columns Richard Vonk,
Werner Wierich		 source 8
SUGI 1997 Visual Hypothesis Testing with Confidence Intervals Robert W. Smith source
NESUG 1996 Forecasting Business Failures Using a Poisson Regression Model Vasanthakumar Bhat 5
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 Testing for and Correcting for Missing Data in Survey Responses: A Survey of Downtown Business in Minneapolis Shelly S. Baxter,
Lawrence C. Marsh		 10
MWSUG 1996 Using SAS Genmod Procedure to fit Diagonal Class Models to Square Contingency Tables Having Ordered Categories H. Bayo Lawal 12
WUSS 1996 Repeated Measures Analysis with the SAS System Kathleen Kierman source 10
SEUGI 1996 A SAS-Macro for the Welch t-Test procedure in the many-to-one design Carina Ortseifen source 5
SEUGI 1996 A SAS/AF software application for sample size and power determination Fiona Portwood source 8
SUGI 1996 Test of Hypotheses in Repeated Measures Models Under General Antedependence Covariance Structures in SAS Software Raul E. Macchiavelli,
E. Barry Moser		 source 4
SEUGI 1995 DoPE: A Tool for D-Optimal Planning & Experimentation Christoph F. Berding source 16
SUGI 1995 A SAS Macro for Evaluation of Survival Time Data Involving Treatment Conversion Using the Mantel-Byar Method Eric T. Sun,
Ching-Chang Hwang		 source 6
SUGI 1995 Adjusted F-Tests for Repeated Measures with the MIXED Procedure S. Paul Wright source 6
SUGI 1995 Comparing the SAS GLM and MIXED Procedures for Repeated Measures Ming Chang,
Russell D. Wolfinger		 source 11
MWSUG 1994 Use of Macros in Generating Statistical Comparisons for Bioequivalence Reports A. David Mundt 9
SEUGI 1994 Analysis of Dose-response Curves in Molecular Pharmacology by the SAS System Paola Baiardi source 10
SUGI 1994 Combined Estimates of Carryover Differences in Mixed-Model Procedure Louis Munyakazi,
Richard L. Hintz,
B. D. Selby		 source 4
SUGI 1994 Estimating Components of Variance for a Linear Model Having a Mixed Fixed/Random Factor in a Large Data Structure Dawn VanLeeuwen,
N. Scott Urquhart		 source 5
SUGI 1994 Mixed Model Analysis of Data: Transition from GLM to MIXED Ramon C. Littell source 8
SUGI 1994 Tables for Two: An Introduction to the TABULATE Procedure Kathy McLeod source 10
NESUG 1993 Constructing Multivariate Control Charts is SAS Melissa A. Durfee 9
SEUGI 1993 A New Look at the Facilities in PROC MIXED James L. Roger source 12
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 Using the SAS System in an Open Computer Environment Assisted Learning Environment Olli Hamaiainen source 6
SUGI 1993 A SAS Macro to Perform Tests for Heterogeneity of Variances Robert D. Abelson source 3
SUGI 1993 An Interactive SAS/AF System for Sample Size Calculation Deborah J. Matos source 6
SUGI 1993 Designing What IS Really Asked For: Volleyball Tournaments and Nonorthogonally Blocked, Split-Plot Fractional Factorials Diccon R. E. Bancroft,
William D. Kahn		 source 7
SUGI 1993 Sample Size versus Detection Probabilities of Off-Aim Drifts in Support or Quality Improvement: A SAS/GRAPH Application D. Mark Carpenter,
Cecil R. Hallum		 source 5
SUGI 1993 SAS Software to Fit the Generalized Linear Model Gordon Johnston source 8
SESUG 1993 Repeated Measures Using PROC MIXED Instead of PROC GLM James H. Roger,
Michael Kenward		 10
SCSUG 1992 Calculating the Odds Ratio and Goodness of Fit Statistics for Logistic Regression Models Using PROC LOGISTIC Chuan-Chuan C. Wun 19
SCSUG 1992 Testing the Additivity Assumption in Repeated Measures Robert J. Zambarano 11
SEUGI 1992 An Application Using the SAS System to Perform Williams' Test in Toxicity Studies Paolo Fina source 9
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
SEUGI 1992 Effects of Using the NOINT Option in Various Regression Procedures of SAS/STAT Software Rainer Muche source 10
SUGI 1992 A SAS Macro for Performing Analyses of Random Effect Models of Longitudinal Data Using the IML Procedure Greg A. Grandits,
Patricia Grambsch,
Thomas Louis		 source 6
SUGI 1992 Generating Statistical Tables Meeting NDA Guidelines the Lazy Way John Lue source 6
SUGI 1992 HOMOVAR: A Macro for Testing Homogeneity of Variances Kristin Latour source 5
SUGI 1992 Some Problems in Computer Aided Design of Experiments Douglas C. Montgomery source 8
SEUGI 1991 An Application for the Analysis of Pain Data by Summary Measures A. Longoni,
G. Marcon,
M. Sanarico,
S. Galimberti		 source 4
SEUGI 1991 Confidence Intervals for Bioequivalence Studies B. Jones,
D. J. Nichols,
P. Blood		 source 12
SUGI 1991 A SAS Macro for Assessing Differential Drug Effect Terrance L. Fox,
Bruce Ekholm		 source 4
SUGI 1991 Confidence Intervals for Contrasts in the Unbalanced Analysis of Variance Using SAS/IML Software John Ilgenfritz,
Anand K. Seth		 source 6
SUGI 1991 Power Analysis and Instructional Monte Carlo Simulations Richard W. Cole source 4
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 A CMS EXEC for the Calculation of Exact P-Values Using the SAS System Noninteractively Gregory E. Gilbert source 4
SUGI 1990 Alternative Parameterization for Anova Models Using SAS Software Robert M. Hamer source 8
SUGI 1990 ANALYSIS OF COVARIANCE: REPEATED IfEASURES AND SPLIT-Plur DESIGNS George A. Milliken source 10
SUGI 1990 Computation of Variances of Functions of Parameter Estimates for Mixed Models in the GLM Procedure Ramon C. Littell,
Stephen B. Linda		 source 8
SUGI 1990 The GLIM Procedure: An Interface to the SAS System P. M. Grambsch,
Jon L. Kosanke,
Terry M. Therneau,
D. J. Schaid,
R. Zinsmeister,
H.S. Wieand,
Kenneth P. Offord,
J. J. LarsonKeller		 source 5
SUGI 1990 Unbiased Estimators of Shrinkage for Chi-Square Based Measures of Association Richard F. Haase source 6
SUGI 1990 Using the ADX Menu System for Taguchi Applications in Quality Improvement Randall D. Tobias source 15
SUGI 1989 A General Approach in the Analysis of Repeated Measures Data Using the GLM Procedure Lee Kaiser source 6
SUGI 1989 A SAS/IML Program for Randomization Analysis of Dose Response Curves Dean E. Nelson source 4
SUGI 1989 Analysis of a Repeated Measures Experiment with Missing Data Richard R. Allen source 5
SUGI 1989 Analysis of Nonreplicated Experiments with SAS/IML Software Michael R. Emptage source 5
SUGI 1989 Automated Analysis of Linear-Plateau Models Damon Disch source 6
SUGI 1989 Issues Related to Analyzing Repeated Measurement Data Ramon C. Littell,
Jane Pendergast		 source
SUGI 1989 Normal and Nonparametric Two-sided Tolerance Limits Richard H. Browne source 3
SUGI 1989 Unbalanced Factorial Data and Hypothesis Testing Robert E. Johnson source
SEUGI 1988 Size and Power of the Anderson-Hauck Test and the Double T-Test in Equivalence Problems Jochen Müller-Cohrs source 9
SEUGI 1988 Using the SAS System for the Analysis of Means Randy Topp source 8
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 PROC TWOSAMPLE A SAS Procedure for the Two-Sample T and Rank-Sum Tests with Extensions Jon L. Kosanke,
Peter C. O'Brien,
Kenneth P. Offord		 source 6
SUGI 1988 Repeated Measures Analysis with the SAS System Ramon C. Littell,
Jane Pendergast		 source 7
SUGI 1988 The Analysis of Complete Blocks Using Methods Based on Ranks Ronald L. Iman source 9
SUGI 1988 Using the SAS System for Analysis of Means Donna O. Fulenwider source 8
SEUGI 1987 Factor Analysis An Annotated Example Marcus Schmidt source 23
SUGI 1987 Interpretation and Diagnostics of the Multinomial Logistic Regression Dan Steinberg source 6
SUGI 1987 Performing the Friedman Test and Associated Multiple Comparison Test using PROC GLM David Ipe source 3
SEUGI 1986 Generalized Linear Models in SAS Using PROC GLM James Roger source 10
SEUGI 1986 SAS/STAT Software on the IBM PC under PC DOS Gerhard Held source 12
SUGI 1986 Comparing Parameter Estimates Between Linear Models John E. Teberg source 7
SUGI 1986 Mixed Model Analyses with the SAS System Ramon C. Littell source 8
SEUGI 1985 Test Procedures for Model Selection and Model Validation Wil Velding source 23
SUGI 1985 An Enhanced SAS Macro for Testing Homogeneity of Variance Dennis W. King,
John Henry King,
Kevin C. Thompson		 source 6
SUGI 1985 Analyzing Tables with Ordered Categories Ginger Caldwell,
John D. Smith		 source 6
SUGI 1985 PROC PECAN - A SAS Procedure Sivaram Kalyandrug,
Jay H. Lubin		 source 8
SUGI 1985 Subset Selection, Not Multiple Comparisons Paul N. Somerville source 3
SUGI 1985 Taking MDS Beyond Similarity Data J.O. Ramsay source 7
SEUGI 1984 SAS Macros to Test Validity Conditions in the ANOVA of Repeated Measures Designs M. Hucher source 8
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 An M-Population Covariance Stabilization: PROC VARSTB James E. Dunn,
Mike Zodrow		 source 6
SUGI 1984 Analysis of Covariance-Models, Strategies and Interpretations George A. Milliken source 10
SUGI 1984 Computing for Unbalanced Repeated Measures Experiments Kenneth N. Berk source 7
SUGI 1984 Estimating Power for Tests of the Multivariate General Linear Hypothesis Keith E. Muller,
Bercedis L. Peterson		 source 5
SUGI 1984 Power Analysis for Linear Models: The Time Has Come Virginia I. Lohr,
Ralph G. O'Brien		 source 7
SUGI 1984 Power Analysis for Multivariate Linear Models: New Results and SAS Software Make It Practical Keith E. Muller,
Bercedis L. Peterson		 source 6
SUGI 1984 Power Analysis for Univariate Linear Models: The SAS System Makes It Easy.. Virginia I. Lohr,
Ralph G. O'Brien		 source 6
SUGI 1984 Some Preliminary Tests in Repeated Measures Design M.F. Huque,
Harji I. Patel,
T. Roy		 source 6
SUGI 1984 Using SAS Software To Do Non-Parametric Statistics Gerald R. Hobbs source 8
SEUGI 1983 GLMOUT - A SAS Program to Read PROC GLM Output A. Eastwood,
D. A. Budgett		 7
SUGI 1983 Analysis of Variance and Subset Selection S.J. Bean,
Paul N. Somerville		 source 3
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 Robust Regression and PROC JACKREGR Daniel M. Chilko,
Gerald R. Hobbs		 source
SUGI 1983 SAS Macros for F-test Power Computations in Balanced Experimental Designs Andrew J. L. Cary source
SUGI 1983 Univariate and Multivariate Repeated Measures Analysis Through PROCs REG, GLM, and MATRIX Robert S. Barcikowski,
Randall R. Robey		 source 6
SUGI 1982 Applications of SAS (FUNCAT) to the Analysis of Epidemiological/Survivorship Data Saeid B. Amini,
William R. Clarke,
Robert F. Woolson		 source 9
SUGI 1982 Categorical Data Analysis Using the FUNCAT Procedure: An Example Charles S. Davis source 7
SUGI 1982 Minimum Sample Size Designs for Testing Interaction James E. Dunn,
Mary S. Hirsch		 source
SUGI 1982 PROC PARCAT: A Procedure for Testing Average Partial Association Ronald G. Fleming,
J. Richard Landis,
Douglas P. Schnautz		 source 6
SUGI 1982 Repeated Measures ANOVA: The Multivariate Approach S. Paul Wright source 4
SUGI 1982 SAS/GRAPH and the Geometryof Statistical Distributions Charles F. Hofacker,
Paul Hoffman		 source 8
SUGI 1982 SPSS MANOVA and BMDP4V for SAS GLM Users Kenneth N. Berk source 5
SUGI 1982 Variable Selection for Categorical Data Using SAS Erik J. Bergstralh,
Susan McGorray		 source 6
SUGI 1981 Estimation of Fixed Effects in Mixed Models with Unbalanced Data Walter R. Harvey source 7
SUGI 1981 How to Use SAS for ANOVA of Mixture Problems Mark L. Tiede source 7
SUGI 1981 Making Sense of Types I, II, III, and IV Sums of Squares in SAS GLM Douglas C. Bolgiano source 4
SUGI 1981 Type I Error Rates for the Unequal Variance T Test J. Philip Miller,
Robert P. Parks,
Reimut Wette		 source
SUGI 1980 Analysis of a Fragmented Time Series Using GLM James E. Dunn source
SUGI 1980 SAS Functions to Compute Chi-Squared, F, and T Distributions and Their Inverses Allowing for Noncentrality and Fractional Decrees of Freedom C. David Hardison,
Richard D. Langston,
Dana Quade		 source 4
SUGI 1979 Exploring Biased Regression with'SAS Samuel G. Carmer,
Wen T. Hsieh		 source 6
SUGI 1979 The CLMEANS Procedure Moacir Pedroso Jr. source 2
SUGI 1978 Use of MATRIX for Single Degree of Freedom Contrasts in Factorial Experiments. Samuel G. Carmer source 4
SUGI 1977 The Analysis of Dissolution Data Using SAS Daniel M. Chilko,
Stephen Howard,
John W. Mauger		 source 6

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