| PharmaSUG CN |
2026 |
ESTICID: a SAS macro for Estimating Clinically Important Difference using an anchor-based approach in longitudinal data |
Zongshi Qin,
Yongpei Yu |
source |
15 |
| PharmaSUG CN |
2026 |
Handling Missing Data in Analgesia Clinical Trials and Corresponding SAS Implementation |
Jingbo Zhu,
Jiehan Zhang |
source |
17 |
| PharmaSUG CN |
2026 |
TFL Generation Using R: Negative Binomial Regression Implementation and Comparison with SAS |
Ye Sun,
Jianchang Hu |
source |
11 |
| PharmaSUG |
2026 |
From Tables to Tolerances: The Evolving Role of Statistical Programmers in Risk-Based Quality Management (RBQM) |
Vihar Patel |
source |
14 |
| PHUSE US |
2026 |
Estimand-Aligned Multiple Imputation Strategies in CNS Trials with Complex Intercurrent Events |
Veera Thota,
Ian Lees |
source
presentation source |
6 |
| PHUSE EU |
2025 |
GLMM and GEE for Categorical Repeated Measures - Linking SAS and R |
Miriam Amor |
source
presentation source |
16 |
| MWSUG |
2025 |
PROC BGLIMM: The Smooth Transition to Bayesian Analysis |
Danny R. Modlin |
source |
57 |
| SESUG |
2025 |
Introduction to Data Simulation |
Jason Brinkley |
|
10 |
| SESUG |
2025 |
PROC BGLIMM: The Smooth Transition to Bayesian Analysis |
Danny R. Modlin |
|
57 |
| WUSS |
2025 |
PROC BGLIMM: The Smooth Transition to Bayesian Analysis [presentation] |
Danny R. Modlin |
source |
57 |
| 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 |
| PharmaSUG |
2025 |
Mastering the Maze of Oncology Endpoints: A Unified SAS Approach for Randomized Controlled Trial Analysis |
Yuxin Wang,
Kelly Chao,
Wenqing Yu,
Hongbing Jin |
source |
11 |
| PHUSE EU |
2024 |
Leveraging Bayesian Posterior Probability for Analysing Treatment Effects in Clinical Trials: A Statistical Programmer's Guide |
Vismaya Kondassam Veedu |
source
presentation source |
7 |
| PHUSE EU |
2024 |
Principal Component Analysis (PCA) - An Efficient Way of Variable Reduction Method and its Application in Oncology Trials |
Pradeep Acharya,
Ephicacy Lifescience |
source
presentation source |
7 |
| SESUG |
2024 |
Investigating the Role of Radiomics in PET Image Analysis for Improved T-Stage Tumor Staging |
Victor Aderanti |
source |
31 |
| SESUG |
2024 |
PROC BGLIMM: The Smooth Transition to Bayesian Analysis |
Danny R. Modlin |
source |
9 |
| WUSS |
2024 |
Developing a SAS Macro for ISNI: Assessing Missing Data Sensitivity Beyond MAR Assumptions |
Bocheng Jing,
L. Grisell Diaz-Ramirez,
W. John Boscardin |
source |
16 |
| WUSS |
2024 |
PROC BGLIMM: The Smooth Transition to Bayesian Analysis [presentation] |
Danny R. Modlin |
source |
20 |
| PharmaSUG CN |
2024 |
Implementation on concentration-QTc modeling |
Daoqing Li,
Deli Cao |
source |
20 |
| PharmaSUG CN |
2024 |
Implementing the treatment policy estimation for continuous variable with multiple imputation |
Andy Sun |
source |
17 |
| PharmaSUG |
2024 |
Bayesian Models with the Power Prior Using PROC BGLIMM |
Yi Gong,
Fang K. Chen |
source |
15 |
| PharmaSUG |
2024 |
Estimating Time to Steady State Analysis in SAS |
Richard Moreton,
Lata Maganti |
source |
8 |
| PHUSE US |
2024 |
Analysis of Same Objective - Different SAS Procedures: How to Choose a SAS Procedure Wisely for a Statistical Analysis? |
Pradeep Acharya,
Ephicacy Lifescience |
source
presentation source |
9 |
| WUSS |
2023 |
The Delta Method in Statistical Inference, with Applications in the SAS IML Procedure |
Carter Sevick,
Camille Moore,
Samantha MaWhinney |
source |
14 |
| SESUG |
2023 |
Forecasting Goals for Student Success Metrics in Accountability Performance Reporting using SAS Visual Analytics |
Xiaoying Liu,
Hennadii Balashov |
source |
9 |
| SESUG |
2023 |
Introduction to Principal Components and Factor Analysis |
Jason Brinkley |
source |
16 |
| SESUG |
2023 |
SAS Macro for Randomization-Based Methods for Covariance and Stratified Adjustment of Win Ratios and Win Odds for Ordinal Outcomes |
Elaine Kowalewski,
Ann Marie K. Weideman,
Gary G. Koch |
source |
11 |
| SESUG |
2023 |
Unsupervised Dimension Reduction Techniques for Lung Cancer Diagnosis Based on Radiomics |
Janet Kireta,
Mostafa Zahed |
source |
21 |
| 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 |
| PHUSE EU |
2021 |
PROC MIXED: A Complicated Procedure in Simple Words [presentation] |
Kateryna Fedoryshyna |
source
video |
21 |
| PHUSE US |
2021 |
Confused with PROC MIXED? Find Out What is the Best Model |
Savithri Jajam,
Vamshi Matta |
source
video
presentation source |
7 |
| PHUSE US |
2021 |
Parmsurv: An SAS Macro for Flexible Parametric Survival Analysis with Long-term Predictions |
Han Fu,
Shahrul Mt-Isa |
source
video
presentation source |
10 |
| PharmaSUG |
2021 |
SAS Proc Mixed: A Statistical Programmer-s Best Friend in QoL Analyses |
Janaki Devi Manthena,
Varsha Korrapati,
Chiyu Zhang |
source |
9 |
| SGF |
2021 |
Bayesian Analysis of GLMMs Using PROC BGLIMM |
Walter W. Stroup |
source
pdf |
25 |
| SESUG |
2020 |
Outlier Detection and Treatment |
Ross Bettinger |
source |
29 |
| SGF |
2020 |
%SURVEYCORRCOV Macro: Complex Survey Data Correlations for Multivariate Analysis and Model Building |
David R. Nelson,
Siew Wong-Jacobson |
source |
20 |
| SGF |
2020 |
A Warning about Wald Tests |
David A. Dickey |
source |
20 |
| SGF |
2020 |
Combination Weighted Log-rank Tests for Survival Analysis with Non-proportional Hazards |
Andrea Knezevic,
Sujata Patil |
source |
10 |
| SGF |
2020 |
Estimating Unknown Change Points and Variation Using SAS |
Depeng Jiang,
Lin Yan,
Zhongyuan Zhang,
Shaoping Jiang |
source |
14 |
| SGF |
2020 |
Mixed-Effects Models and Complex Survey Data with the GLIMMIX Procedure |
L. Grisell Diaz-Ramirez,
Bocheng Jing |
source |
10 |
| SGF |
2020 |
Modeling of Between - and Within-Subject Variances using Mixed Effects Location Scale (MELS) Models |
Qianheng Ma,
Donald Hedeker |
source |
14 |
| SGF |
2020 |
Practical Geospatial Analysis of Open and Public-Use Data |
Pradeep Mohan |
source |
20 |
| SGF |
2020 |
Principal Component Analysis Demystified |
Caroline Walker |
source |
7 |
| SGF |
2020 |
Simulating Data for Complex Linear Models |
Phil Gibbs,
Kathleen Kiernan |
source |
20 |
| SGF |
2020 |
Tips for Writing Custom SAS Studio Tasks That Use CAS Actions for Advanced Analytics |
Brian R. Gaines |
source |
16 |
| SGF |
2020 |
Use SAS to Model Non-Linearity |
Xiaoting Wu,
Donald S. Likosky |
source |
12 |
| PHUSE US |
2020 |
The Importance of General Linear Models (GLMs) in Clinical Research |
Ritesh Dhimmar,
Venkata Ikkurthy |
source |
12 |
| PHUSE EU |
2019 |
Mixed Model Repeated Measures (MMRMs) |
Mrudula Suryawanshi |
source
presentation source |
19 |
| SESUG |
2019 |
Summarizing some conventional methods to classify a binary target |
Yida Bao,
Philippe Gaillard |
source |
10 |
| SESUG |
2019 |
The Best of Both Worlds: Forecasting Using Time Series with Inputs |
David A. Dickey |
source |
19 |
| WUSS |
2019 |
Bayesian Nonparametric Clustering in SAS |
Hend Aljobaily |
source |
9 |
| PharmaSUG |
2019 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
source |
21 |
| PharmaSUG |
2019 |
PROC MIXED: Calculate Correlation Coefficients in the Presence of Repeated Measurements |
Qinlei Huang,
Radha Railkar |
source |
16 |
| SGF |
2019 |
A Selective Overview of Panel Data with Applications in SAS |
Oral Capps |
source |
26 |
| SGF |
2019 |
Analyzing Structural Causal Models using the CALIS Procedure |
Banoo Madhanagopal,
John Amrhein |
source |
23 |
| SGF |
2019 |
Causal Analyses Using Structural Equation Models |
Banoo Madhanagopal,
John Amrhein |
source |
23 |
| 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 |
Introducing the BGLIMM Procedure for Bayesian Generalized Linear Mixed Models |
Amy Shi,
Fang K. Chen |
source |
20 |
| SGF |
2019 |
Introducing the MBC Procedure for Model-Based Clustering |
David Kessler |
source |
21 |
| SGF |
2019 |
Joint Analysis of Failure Times and Time-Varying Covariates |
Joseph C. Gardiner |
source |
22 |
| SGF |
2019 |
Monitoring the Relevance of Predictors for a Model Over Time |
Ming-Long Lam |
source |
16 |
| SGF |
2019 |
Survival Estimates Prediction with Survey Data |
Bocheng Jing,
L. Grisell Diaz-Ramirez,
W. John Boscardin,
Alexandra K. Lee,
Sei J. Lee |
source |
12 |
| SGF |
2019 |
The Best of Both Worlds: Forecasting Using Time Series with Inputs |
David A. Dickey |
source |
19 |
| PHUSE EU |
2018 |
Collinearity in Mixed Models |
John Hendrickx |
source
presentation source |
11 |
| SESUG |
2018 |
Introduction to Data Simulation |
Jason Brinkley |
source |
9 |
| SESUG |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory,
Henry M. Jackson |
source |
22 |
| MWSUG |
2018 |
Assessing Model Adequacy in Proportional Hazards Regression |
Michael G. Wilson |
|
37 |
| MWSUG |
2018 |
Baseline Mean Centering for Analysis of Covariance (ANCOVA) Method of Randomized Controlled Trial Data Analysis |
Jennifer Scodes |
|
6 |
| MWSUG |
2018 |
Bootstrap Linear Mixed-Effects Models using SAS Procedures |
Adams Kusi Appiah |
|
17 |
| MWSUG |
2018 |
Handling Missing Data in Exploratory Factor Analysis Using SAS |
Min Chen |
|
3 |
| MWSUG |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
|
22 |
| MWSUG |
2018 |
Tips, Tricks, and Traps on Longitudinal Data Analysis with Discrete and Continuous Times |
Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Gray Ficker,
Gretchen Piatt |
|
20 |
| WUSS |
2018 |
"Training Wheels" for learning mixed models |
YuTing Tian,
Russell M. Lavery |
source |
20 |
| WUSS |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory |
source |
21 |
| WUSS |
2018 |
Modeling Heterogeneous Within-Subject Variability |
Madeline Craft,
Shelley A. Blozis |
source |
8 |
| PHUSE US |
2018 |
Missing Data Imputation and Its Effect on the Accuracy of Classification |
Edwin Ponraj Thangarajan,
Giri Balasubramanian |
source
presentation source |
15 |
| SGF |
2018 |
Estimation of Correlation Coefficient in Data with Repeated Measures |
Katherine Irimata,
Paul Wakim,
Xiaobai Li |
source |
19 |
| SGF |
2018 |
Insights into Using the GLIMMIX Procedure to Model Categorical Outcomes with Random Effects |
Kathleen Kiernan |
source |
23 |
| SGF |
2018 |
SAS Macros for Computing Causal Mediated Effects in Two- and Three-Wave Longitudinal Models |
David P. MacKinnon,
Matthew Valente |
source |
18 |
| SGF |
2018 |
Using SAS for Multiple Imputation and Analysis of Longitudinal Data |
Patricia A. Berglund |
source |
24 |
| PHUSE EU |
2017 |
Health Technology Assessment PRO Least Squares Mean Difference Programming Techniques Using SAS |
Yirong Cao,
Siory Traoré |
source
presentation source |
11 |
| PHUSE EU |
2017 |
How to Fit Longitudinal Data with Proc MCMC |
Maud Henion |
source
presentation source |
16 |
| 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 |
| SGF |
2017 |
A Moment-Matching Approach for Generating Synthetic Data in SAS |
Brittany Bogle,
Jared Erickson |
source |
17 |
| SGF |
2017 |
Analyzing Correlated Data in SAS |
Niloofar Ramezani |
source |
13 |
| SGF |
2017 |
Estimation Strategies Involving Pooled Survey Data |
Taylor Lewis |
source |
15 |
| SGF |
2017 |
Get the Tangency Portfolio Using SAS/IML |
Keshan Xia,
Peter W. Eberhardt,
Matthew J. Kastin |
source
pdf |
6 |
| SGF |
2017 |
Optimize My Stock Portfolio! A Case Study with Three Different Estimates of Risk |
Aric LaBarr |
source |
11 |
| SGF |
2017 |
Using a Population Average Model to Investigate the Success of a Customer Retention Strategy |
Colleen E. McGahan |
source |
19 |
| SCSUG |
2016 |
An Ad Hoc Method for Computing Pseudo Effect Size for Mixed Models |
Kathryn G. Tippey,
Michael T. Longnecker |
source |
7 |
| SESUG |
2016 |
A Short Introduction to Longitudinal and Repeated Measures Data Analyses |
Leanne Goldstein |
source |
19 |
| SESUG |
2016 |
Introduction to Data Simulation |
Jason Brinkley |
source |
8 |
| MWSUG |
2016 |
Fitting Your Favorite Mixed Models with PROC MCMC |
Fang K. Chen,
Gordon Brown,
Maura E. Stokes |
|
27 |
| MWSUG |
2016 |
Protein NMR Reference Correction - A Statistical Approach for an Old Problem |
Xi Chen,
Hunter N. B. Moseley |
|
1 |
| WUSS |
2016 |
Distance Correlation for Vectors: A SAS Macro |
Thomas E. Billings |
source |
15 |
| WUSS |
2016 |
Fitting Your Favorite Mixed Models with PROC MCMC |
Fang K. Chen |
source |
27 |
| WUSS |
2016 |
How to analyze correlated and longitudinal data? |
Niloofar Ramezani |
source |
8 |
| PharmaSUG |
2016 |
Mixed Effects Models |
Yan Wang |
source |
7 |
| SGF |
2016 |
A Short Introduction to Longitudinal and Repeated Measures Data Analyses |
Leanne Goldstein |
source |
19 |
| SGF |
2016 |
An Application of the PRINQUAL Procedure to Develop a Synthetic Index of Customer Value for a Colombian Financial Institution |
Ivan Atehortua,
Diana Flórez |
source |
7 |
| SGF |
2016 |
Analyzing Non-Normal Binomial and Categorical Response Variables under Varying Data Conditions |
Niloofar Ramezani |
source |
16 |
| SGF |
2016 |
Bayesian Inference for Gaussian Semiparametric Multilevel Models |
Jason Bentley,
Cathy Yuen Yi Lee |
source
zip |
19 |
| SGF |
2016 |
Fitting Your Favorite Mixed Models with PROC MCMC |
Gordon Brown,
Fang K. Chen,
Maura E. Stokes |
source |
27 |
| SGF |
2016 |
Medicare Fraud Analytics Using Cluster Analysis: How PROC FASTCLUS Can Refine the Identification of Peer Comparison Groups |
Paulo Macedo |
source
zip |
9 |
| SGF |
2016 |
Multiple-Group Multiple Imputation: An Empirical Comparison of Parameter Recovery in the Presence of Missing Data using SAS |
Patricia Rodríguez de Gil,
Jeffrey D. Kromrey |
source |
15 |
| SGF |
2016 |
Outlier Detection Using the Forward Search in SAS/IML Studio |
Jos Polfliet |
source
zip |
12 |
| SGF |
2016 |
PROC GLIMMIX as a Teaching and Planning Tool for Experiment Design |
Walter W. Stroup |
source
zip |
19 |
| SGF |
2016 |
Tips and Strategies for Mixed Modeling with SAS/STAT Procedures |
Phil Gibbs |
source |
21 |
| SGF |
2016 |
Using SAS to Conduct Multivariate Statistical Analysis in Educational Research: Exploratory Factor Analysis and Confirmatory Factor Analysis |
Jun Xu,
Steven L. Holtzman,
Kevin Petway,
Lili Yao |
source |
13 |
| SCSUG |
2015 |
Using SAS Software to Determine the Mixed Rotterdam Demand Model Parameters and Test Statistical References |
Maryam Tabarestani,
Hector Zapata |
|
23 |
| MWSUG |
2015 |
Advanced Techniques for Fitting Mixed Models Using SAS/STAT Software |
Jill Tao,
Kathleen Kiernan,
Phil Gibbs |
|
18 |
| MWSUG |
2015 |
How to Build a Hierarchical Mixed Model in SAS |
Sara Burns,
Amit Amin,
Eric Novak |
|
8 |
| MWSUG |
2015 |
SAS Software as an Essential Tool in Statistical Consulting and Research |
Erika Larsen,
Timothy E. O'Brien |
|
13 |
| PHUSE EU |
2015 |
Generating Multiple Parameter Reports into Single Reports Using %Do Loop and CALL SYMPUTX |
Krishna Gohil |
source
presentation source |
5 |
| SESUG |
2015 |
A SAS Algorithm for Imputing Discrete Missing Outcomes Based on Minimum Distance |
Minimum Distance |
source |
7 |
| SESUG |
2015 |
An Intermediate Guide to Estimating Multilevel Models for Categorical Data using SAS PROC GLIMMIX |
Whitney Smiley,
Elizabeth A. Leighton,
Zhaoxia Guo,
Mihaela Ene,
Bethany A. Bell |
source |
16 |
| 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 |
| SESUG |
2015 |
MIXED_RELIABILITY: A SAS Macro for Estimating Lambda and Assessing the Trustworthiness of Random Effects in Multilevel Models |
Jason A. Schoeneberger,
Bethany A. Bell |
source |
10 |
| WUSS |
2015 |
A Short Introduction to Longitudinal and Repeated Measures Data Analyses |
Leanne Goldstein |
source |
19 |
| WUSS |
2015 |
Advanced Techniques for Fitting Mixed Models Using SAS/STAT Software |
Phil Gibbs,
Jill Tao,
Kathleen Kiernan |
source |
18 |
| WUSS |
2015 |
Approximation methods and quadrature points in PROC NLMIXED: A simulation study using structured latent curve models |
Nate Smith,
Shelley A. Blozis |
source |
10 |
| WUSS |
2015 |
Data Analyses in Multivariate Regression |
Chii-Dean Joey Lin |
source |
9 |
| WUSS |
2015 |
Generalized Estimating Equations for Depression Dose Regimes |
Karen Walker |
source |
8 |
| WUSS |
2015 |
Pattern-Mixture Random-Effects Models for Non-Ignorable Missing Data in Longitudinal Studies |
Shelley A. Blozis,
Ricardo Villarreal |
source |
3 |
| WUSS |
2015 |
Sample Size Convergence of Denominator Degrees of Freedom Method Options in SAS PROC MIXED |
Timothy Banh |
source |
13 |
| WUSS |
2015 |
SAS at Los Angeles County Assessor's Office |
Anthony Liu |
source |
20 |
| PharmaSUG CN |
2015 |
Hands-on Tutorial for Piecewise Linear Mixed-effects Models Using SAS PROC MIXED |
Qinlei Huang |
|
15 |
| PharmaSUG |
2015 |
Medication Adherence in Cardiovascular Disease: Generalized Estimating Equations in SAS |
Erica Goodrich,
Daniel Sturgeon |
source |
8 |
| PharmaSUG |
2015 |
MMRM: Macro for Selecting Best Covariance Structure with the Method of Interest |
Linga Reddy Baddam,
Sudarshan Reddy Shabadu,
Chunxue Shi |
source |
7 |
| PharmaSUG |
2015 |
Using ANCOVA to Assess Regression to the Mean |
Kathryn Schurr |
source |
9 |
| SGF |
2015 |
Advanced Techniques for Fitting Mixed Models Using SAS/STAT Software |
Kathleen Kiernan |
source |
18 |
| 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 |
Analyzing Messy and Wide Data on a Desktop |
John P. Sall |
source |
4 |
| SGF |
2015 |
Confirmatory Factor Analysis Using PROC CALIS: A Practical Guide for Survey Researchers |
Lindsey Brown Philpot,
Sunni Barnes,
Crystal Carel |
source |
9 |
| SGF |
2015 |
Improving the Performance of Data Mining Models with Data Preparation Using SAS Enterprise Miner |
Ricardo Galante |
source |
21 |
| SGF |
2015 |
Imputing Missing Data using SAS |
Christopher Yim |
source |
9 |
| SGF |
2015 |
Multilevel Models for Categorical Data Using SAS PROC GLIMMIX: The Basics |
Mihaela Ene,
Bethany A. Bell,
Genine L. Blue,
Elizabeth Leighton |
source |
12 |
| SGF |
2015 |
Random vs. Fixed Effects: Which Technique More Effectively Addresses Selection Bias in Observational Studies |
Jessica Navratil-Strawn,
Stephen Hartley,
Ronald J. Ozminkowski |
source
zip |
8 |
| SGF |
2015 |
Survival Analysis with Survey Data |
Joseph C. Gardiner |
source |
17 |
| SGF |
2015 |
The %ic_mixed Macro: A SAS Macro to Produce Sorted Information Criteria (AIC and BIC) List for PROC MIXED for Model Selection |
Qinlei Huang |
source |
16 |
| SGF |
2015 |
The SEM Approach to Longitudinal Data Analysis Using the CALIS Procedure |
Xinming An,
Yiu-Fai Yung |
source |
18 |
| SGF |
2015 |
Using SAS/STAT Software to Implement a Multivariate Aadaptive Outlier Detection Approach to Distinguish Outliers from Extreme Values |
Paulo Macedo |
source |
12 |
| SGF |
2015 |
Validation and Monitoring of PD Models for Low Default Portfolios Using PROC MCMC |
Machiel Kruger |
source |
16 |
| SESUG |
2014 |
Analyzing Multilevel Models with the GLIMMIX Procedure |
Min Zhu |
source |
19 |
| SESUG |
2014 |
Multilevel Models for Categorical Data Using SAS PROC GLIMMIX: The Basics |
Mihaela Ene,
Elizabeth A. Leighton,
Genine L. Blue,
Bethany A. Bell |
source |
12 |
| SESUG |
2014 |
Overview of Analysis of Covariance (ANCOVA) Using GLM in SAS |
Abbas S. Tavakoli |
source |
10 |
| SESUG |
2014 |
Using SAS/STAT to implement a multivariate adaptive outlier detection approach to distinguish outliers from extreme values |
Paulo Macedo |
source |
11 |
| PHUSE EU |
2014 |
Backward Selection: Immunity Test of Covariates |
Prathamesh Athavale |
source
presentation source |
10 |
| PHUSE EU |
2014 |
Small Sample Bayesian Factor Analysis |
Dirk Heerweghm |
source
presentation source |
18 |
| MWSUG |
2014 |
ANCOVA (Analysis of Covariance): A Visual, Intuitive Understanding |
Michael Senderak |
|
12 |
| MWSUG |
2014 |
Examining the Factor Structure of the Revised Illness Perception Questionnaires (IPQ-R) among Underserved Type II Diabetic Patients |
Xueying (Carol) Li,
Amy McQueen,
Anjali D. Deshpande |
|
9 |
| MWSUG |
2014 |
Modifying a structural equation model of child dietary intake using the Lagrange Multiplier test in SAS PROC CALIS for MWSUG 2014 |
Lauren Cook,
Chih-Ping Chou,
Nicole Gatto,
Jaimie N. Davis,
Donna Spruijt-Metz |
|
9 |
| MWSUG |
2014 |
Using The Delta Method With Proc Mixed To Generate Means And Confidence Intervals From A Linear Mixed Model On The Original Scale, When The Analysis Is Done On The Log Scale |
Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer |
|
11 |
| PharmaSUG |
2014 |
A Parameterized SAS Macro to Select an Appropriate Covariance Structure in Repeated Measures Data Analysis Using PROC MIXED |
Leela Aertker,
Paul Nguyen,
Charity Quick |
source |
3 |
| PharmaSUG |
2014 |
Factor Analysis of Scale for Assessment of Negative Symptoms using SAS Software |
Ben Adeyi,
David Shen |
source |
8 |
| SGF |
2014 |
%COVTEST: A SAS Macro for Hypothesis Testing in Linear Mixed Effects Models via Parametric Bootstrap |
Peter Ott |
source |
9 |
| SGF |
2014 |
A SAS Macro to Diagnose Influential Subjects in Longitudinal Studies |
Grant Schneider,
Randy Tobias |
source
zip |
18 |
| SGF |
2014 |
A Stepwise Algorithm for Generalized Linear Mixed Models |
Nagaraj Neerchal,
Jorge Morel,
Xuang Huang,
Alain Moluh |
source |
11 |
| 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 |
Analyzing Multilevel Models with the GLIMMIX Procedure |
Min Zhu |
source |
18 |
| SGF |
2014 |
Case-Level Residual Analysis in the CALIS Procedure |
Catherine Truxillo |
source |
17 |
| SGF |
2014 |
Comparison of Five Analytic Techniques for Two-Group, Pre-Post Repeated Measures Designs Using SAS |
J. Madison Hyer,
Jennifer L. Waller |
source |
8 |
| SGF |
2014 |
Confirmatory Factor Analysis and Structural Equation Modeling of Non-cognitive Assessments Using PROC CALIS |
Steven L. Holtzman |
source |
11 |
| SGF |
2014 |
Got Randomness? SAS for Mixed and Generalized Linear Mixed Models |
David A. Dickey |
source |
12 |
| SGF |
2014 |
Modeling Loss Given Default in SAS/STAT |
Xiao Yao,
Jonathan Crook,
Galina Andreeva |
source |
9 |
| SGF |
2014 |
Power and Sample Size for MANOVA and Repeated Measures with the GLMPOWER Procedure |
John M. Castelloe |
source |
20 |
| SGF |
2014 |
SAS for Bayesian Mediation Analysis |
Miočević Milica,
David P. MacKinnon |
source |
11 |
| SGF |
2014 |
When Do You Schedule Preventative Maintenance? Multivariate Time Series in SAS/ETS |
Kenneth Sanford |
source |
8 |
| WUSS |
2013 |
Dynamic Regression in ARIMA Modeling |
Ross Bettinger |
source |
11 |
| WUSS |
2013 |
Matching with Hash Objects |
Gregory Watson |
source |
6 |
| WUSS |
2013 |
Repeated Measures ANCOVA with the MIXED and GLM Procedures: Examining an Intervention to Reduce Childhood Obesity |
Lauren Cook,
Jaimie N. Davis,
Donna Spruijt-Metz,
Nicole Gatto |
source |
6 |
| WUSS |
2013 |
Tools for Imputing Missing Data |
Taylor Lewis |
source |
16 |
| WUSS |
2013 |
Using PROC NLMIXED to Fit Correlated Residual Error Structures in Nonlinear Mixed Models |
Shelley A. Blozis,
Jeffrey Harring |
source |
5 |
| 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 |
| 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 |
| PHUSE EU |
2013 |
Multivariate Bioequivalence |
Shital Agawane,
Sanjukta Roy |
source
presentation source |
8 |
| PHUSE EU |
2013 |
Using PROC GENMOD to Analyses Ratio to Placebo in Change of Dactylitis |
Imgard Hollweck |
source
presentation source |
9 |
| MWSUG |
2013 |
Adventures in Path Analysis and Preparatory Analysis |
Brandy R. Sinco,
Phillip L. Chapman |
|
19 |
| MWSUG |
2013 |
Ideas and Examples in Generalized Linear Mixed Models |
David A. Dickey |
|
12 |
| SGF |
2013 |
A Flexible Method to Apply Multiple Imputation Using SAS/IML Studio |
Lisa M. Lix,
Xue Yao |
source
pdf |
9 |
| SGF |
2013 |
A Multilevel Model Primer Using SAS PROC MIXED |
Bethany A. Bell,
Jason A. Schoeneberger,
Mihaela Ene,
Whitney Smiley |
source |
19 |
| SGF |
2013 |
Assessing Model Adequacy in Proportional Hazards Regression |
Michael G. Wilson |
source |
36 |
| SGF |
2013 |
Considerations and Techniques for Analyzing Domains of Complex Survey Data |
Taylor Lewis |
source |
12 |
| SGF |
2013 |
Growth Spline Modeling |
Eric Day,
Matthew Schuelke,
Robert Terry |
source
pdf |
9 |
| SGF |
2013 |
Modeling Change over Time: A SAS Macro for Latent Growth Curve Modeling |
Pei-Chin Lu,
Robert Pearson |
source |
12 |
| SGF |
2013 |
Predicting Health Care Expenditures with the MCMC Procedure |
Gregory Watson |
source |
12 |
| NESUG |
2012 |
Using PROC TCALIS to Investigate Equality of Covariance Matrices across Two Groups |
Chen Li,
Steven L. Holtzman |
|
5 |
| PHUSE EU |
2012 |
Multicollinearity Diagnostics in Statistical Modeling and Remedies to Deal with it Using SAS |
Harshada Joshi,
Swapna Deshpande |
source
presentation source |
12 |
| SESUG |
2012 |
Random Effects Simulation for Sample Size Calculations Using SAS |
Random Effects Simulation |
source |
11 |
| SESUG |
2012 |
Tips and Strategies for Mixed Modeling with SAS/STAT Procedures |
Kathleen Kiernan,
Jill Tao,
Phil Gibbs |
source |
18 |
| MWSUG |
2012 |
A Brief Survey of Clustering and Segmentation for Customer Intelligence |
George J. Hurley |
|
18 |
| MWSUG |
2012 |
Modeling Complex Survey Data |
Taylor Lewis |
|
16 |
| MWSUG |
2012 |
Survival of the Milkman - How Modern Analytics is Helping an Old Fashioned Business Thrive |
Bruce Bedford |
|
13 |
| MWSUG |
2012 |
Tips and Strategies for Mixed Modeling with SAS/STAT Procedures |
Kathleen Kiernan,
Jill Tao,
Phil Gibbs |
|
18 |
| WUSS |
2012 |
Sample Size Calculation and Power Analysis for Design of Experiments Using Proc Glmpower |
Chii Dean |
source |
10 |
| WUSS |
2012 |
Up To Speed With Categorical Data Analysis |
Maura E. Stokes |
source |
25 |
| PharmaSUG CN |
2012 |
An Illustration of Rate Difference Estimation with SAS in Logistic Regression |
Yun Guo,
Victor Wu,
Xinyu Xu,
Crystal Cheng |
ppt |
7 |
| PharmaSUG |
2012 |
Pattern-Mixture Models as Linear Combinations of Least Squares Means from MMRM with Delta Method Variance Estimation |
Bohdana Ratitch,
Michael O'Kelly |
source |
15 |
| SGF |
2012 |
Exploring the Dimensionality of Large-Scale Standardized Educational Assessments Using PROC FACTOR |
Jonathan Steinberg |
source |
10 |
| SGF |
2012 |
Handling Missing Data by Maximum Likelihood |
Paul D. Allison |
source |
21 |
| SGF |
2012 |
MV_META: A SAS Macro for Multivariate Meta-Analysis |
Julie A. Gloudemans,
Corina M. Owens,
Jeffrey D. Kromrey |
source |
15 |
| SGF |
2012 |
Tips and Strategies for Mixed Modeling with SAS/STAT Procedures |
Kathleen Kiernan,
Jill Tao,
Phil Gibbs |
source |
18 |
| SCSUG |
2011 |
Statistical comparison of relative proportions of bacterial genetic sequences |
Jose F Garcia-Mazcorro |
source |
19 |
| 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 |
| SESUG |
2011 |
Breastfeeding in Developing Countries: A Case Study of Nepalese Children |
Paerwen Paerhate,
George Mason |
source |
4 |
| SESUG |
2011 |
MV_META: A SAS Macro for Multivariate Meta-Analysis |
Julie A. Gloudemans |
source |
12 |
| SESUG |
2011 |
Proc MIXED - Right Options to get Right Output |
Shilpa C. Edupganti,
Sheetal Nisal |
source |
9 |
| WUSS |
2011 |
Up To Speed With Categorical Data Analysis |
Maura E. Stokes |
source |
25 |
| PHUSE EU |
2011 |
Estimation of relative potency in a 4-point parallel line assay |
Stefano Vezzoli |
source
presentation source |
11 |
| PHUSE EU |
2011 |
Use of early longitudinal viral load as a surrogate to the virologic endpoint in Hepatitis C |
Igwebuike Enweonye |
source
presentation source |
12 |
| MWSUG |
2011 |
A Macro to Estimate Sample-size Using the Non-Centrality Parameter of a Non-Central F-Distribution |
Matthew C. Fenchel,
Raouf S. Amin,
Rhonda D. VanDyke |
|
20 |
| MWSUG |
2011 |
Introducing SAS Structural Equation Modeling for JMP: A New User Interface That Brings the Power of SAS/STAT Software to JMP Software |
Wayne E. Watson |
|
18 |
| MWSUG |
2011 |
Outlier resistance of multivariate bioequivalence procedures |
Srinand P. Nandakumar,
Joseph W. McKean |
|
13 |
| NESUG |
2011 |
Confirmatory Factor Analysis and Structural Ehuation Modeling of Non-cognitive Assessments Using PROC CALIS |
Steven L. Holtzman,
Sailesh Vezzu |
|
9 |
| NESUG |
2011 |
Modern Portfolio Theory Using SAS OR |
Murphy Choy |
|
8 |
| NESUG |
2011 |
Proc Mixed - Right Options to Get the Right Output |
Shilpa C. Edupganti,
Sheetal Nisal |
|
10 |
| NESUG |
2011 |
SAS Macro for Nonparametric Residual Bootstrap Multilevel Modeling |
Jichuan Wang,
Peichang Shi,
Avital Cnaan |
|
6 |
| PharmaSUG |
2011 |
Implementation of Pairwise Fitting Technique for Analyzing Multivariate Longitudinal Data in SAS |
Madan G. Kundu |
source |
12 |
| SGF |
2011 |
Introducing SAS Structural Equation Modeling: A New User Interface That Brings the Power of SAS/STAT Software to JMP Software |
Wayne E. Watson |
source |
18 |
| SGF |
2011 |
Living with Generalized Linear Mixed Models |
Walter W. Stroup |
source |
18 |
| SGF |
2011 |
Making Use of Incomplete Observations in the Analysis of Structural Equation Models: The CALIS Procedures Full Information Maximum Likelihood Method in SAS/STAT 9.3 |
Yiu-Fai Yung,
Wei Zhang |
source |
20 |
| SGF |
2011 |
PATH and LISMOD Languages in SAS PROC TCALIS for Multigroup Comparisons |
Fei Gu,
Wei Wu |
source |
10 |
| SGF |
2011 |
Repeated Measures Analysis of Correlated Data with Multiple Responses Using SAS |
Anbuchelvi Jeyabslasingham,
Anpalaki J. Ragavan |
source |
10 |
| SGF |
2011 |
Scale Measurement: Comparing Factor Analysis and Variable Clustering |
Albert Liau,
Teck Kiang Tan,
Angeline Khoo |
source |
19 |
| SGF |
2011 |
Small Area Estimation for Survey Data Analysis Using SAS Software |
Pushpal K. Mukhopadhyay,
Allen McDowell |
source |
19 |
| SGF |
2011 |
The RANDOM Statement and More: Moving On with PROC MCMC |
Fang K. Chen |
source |
21 |
| SGF |
2011 |
Up To Speed With Categorical Data Analysis |
Gary G. Koch,
Maura E. Stokes |
source |
25 |
| SGF |
2011 |
Using SAS PROC TCALIS for Multigroup Structural Equation Modeling with Mean Structures |
Fei Gu,
Wei Wu |
source |
16 |
| NESUG |
2010 |
Exploring the Dimensionality of Large-Scale Standardized Educational Assessments Using PROC FACTOR |
Jonathan Steinberg |
|
8 |
| NESUG |
2010 |
Functional Data Analysis on SAS system |
Le Yin |
|
9 |
| WUSS |
2010 |
101 Applications of Multivariate Statistical Procedures: PRINCOMP, CLUSTER, DISCRIM in SAS 9.2 |
Keh-Dong Shiang |
source |
22 |
| 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 |
Ideas and Examples in Generalized Linear Mixed Models |
David A. Dickey |
|
12 |
| MWSUG |
2010 |
PROC MIXED: Underlying Ideas with Examples |
David A. Dickey |
|
19 |
| MWSUG |
2010 |
Simplifying Drug Discovery with JMP |
John A. Wass |
|
14 |
| MWSUG |
2010 |
Using HPMIXED and Other SAS Procedures to Efficiently Analyze Large Dimension Registry Data |
Matthew Fenchel,
Gary McPhail,
Rhonda D. VanDyke |
|
19 |
| SESUG |
2010 |
Fitting multivariate random-effects models using SAS PROC GLIMMIX |
Lei Li,
Namasivavayam Ambalavanan,
Abhik Das |
source |
8 |
| PharmaSUG |
2010 |
Dynamic Determination of Mixed Model Covariance Structures in Double-blind Clinical Trials |
Matthew Davis |
|
7 |
| PharmaSUG |
2010 |
Linear Mixed Models in Clinical Trials using PROC MIXED |
Danyang Bing,
Xiaomin He |
|
12 |
| SGF |
2010 |
A Grad Student 'How-To' Paper on Grant Preparation: Preliminary Data, Power Analysis, and Presentation |
Elisa L. Priest,
Derek Blankenship |
source |
14 |
| SGF |
2010 |
A Nonparametric Method to Assess Treatment Effects for Unbalanced Designs Using SAS/IML |
Michael Cunningham |
source |
12 |
| SGF |
2010 |
Analyzing Interval-Censored Survival Data with SAS |
Ying C. So,
Gordon Johnston |
source |
14 |
| 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 |
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 |
Fundamental Diagnostics for Two-Level Mixed Models: The SAS Macro MIXED_DX |
Bethany A. Bell,
Jason A. Schoeneberger,
Grant B. Morgan,
Jeffrey D. Kromrey,
John M. Ferron |
source |
12 |
| SGF |
2010 |
Ideas and Examples in Generalized Linear Mixed Models |
David A. Dickey |
source |
12 |
| SGF |
2010 |
Introduction to SAS Risk Management for Banking |
Austin Trippensee |
source |
8 |
| SGF |
2010 |
Rediscovering SAS/IML Software: Modern Data Analysis for the Practicing Statistician |
Rick Wicklin |
source |
18 |
| SCSUG |
2009 |
SVD Filtered Temporal Usage Pattern Analysis and Clustering |
Liang Xie |
|
12 |
| SESUG |
2009 |
A Monte Carlo Study to Evaluate the Robust Standard Error Feature in the PHREG procedure |
Ji Li,
Xu Zhang |
source |
7 |
| SESUG |
2009 |
MIXED_DX: A SAS Macro for Two-Level Linear Model Diagnostics |
Bethany A. Bell,
Grant B. Morgan,
Jason A. Schoeneberger,
John M. Ferron,
Jeffrey D. Kromrey |
source |
17 |
| SESUG |
2009 |
Streamlining Data Analysis |
Edzard van Santen |
source |
4 |
| SESUG |
2009 |
The Effect of Missing Data on Repeated Measures Models |
Maribeth H. Johnson |
source |
10 |
| MWSUG |
2009 |
Mixed Model Selection |
George C. J. Fernandez |
|
19 |
| MWSUG |
2009 |
Using PROC CALIS and PROC CORR to Compare Structural Equation Modeling Based Reliability Estimates and Coefficient Alpha When Assumptions are Violated |
Fei Gu,
Todd Little,
Neal M. Kingston |
|
10 |
| PNWSUG |
2009 |
SAS Proc STATESPACE and the forecasting of Bureau of Labor Statistics JOLT and Diffusion Index |
Martin B. Jetton |
|
13 |
| NESUG |
2009 |
Build Multilevel Model to Assess the Length to Inpatient Readmission Using SAS PROC MIXED |
Qingfeng Liang |
|
13 |
| WUSS |
2009 |
A Biometric Analysis of Twin Data Using PROC MIXED |
Mo Zheng |
source |
8 |
| WUSS |
2009 |
Computing Hazard Ratios and Confidence Intervals for a Two-Factor Cox Model with Interaction Terms |
Marla J. Husnik,
Jing Wang |
source |
10 |
| WUSS |
2009 |
Discriminant Analysis, a Powerful Classification Technique in Predictive Modeling |
George C. J. Fernandez |
source |
20 |
| WUSS |
2009 |
Guidelines for Reliability, Confirmatory and Exploratory Factor Analysis |
Diana D. Suhr,
Mary Shay |
source |
15 |
| WUSS |
2009 |
Modeling Spatial and Temporal Variations of Arsenic in Surface Water |
Anpalaki J. Ragavan |
source |
10 |
| PharmaSUG |
2009 |
Computing Hazard Ratios and Confidence Intervals for a Two-Factor Cox Model with Interaction Terms |
Jing Wang,
Fred Hutchinson Cancer |
|
10 |
| PharmaSUG |
2009 |
Modeling the Treatment Effect on a Median of a Percent Change from Baseline in a Log-normal Variable Using SAS PROC NLMIXED |
Aiming Yang |
|
5 |
| PharmaSUG |
2009 |
ROC analysis for the evaluation of continuous biomarkers: Existing tools and new features in SAS 9.2 |
Sanghyuk Shin |
|
15 |
| SGF |
2009 |
%QLS SAS Macro: A SAS Macro for Analysis of Longitudinal Data Using Quasi-Least Squares |
Hanjoo Kim,
Justine Shults |
source |
12 |
| SGF |
2009 |
All the Cows in Canada: Massive Mixed Modeling with the HPMIXED Procedure in SAS 9.2 |
Tianlin Wang |
source |
15 |
| SGF |
2009 |
Analysis of Survival Data with Clustered Events |
Lida Gharibvand,
Lei Liu |
source |
11 |
| SGF |
2009 |
Comparison of Features and Applications of Four Linear Models Procedures |
Larry W. Douglass |
source |
19 |
| 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 |
| WUSS |
2008 |
Comparing efficiency of cross validated partial least squares regression and ridge regression models in predicting spatial variability of total nitrogen concentration in Truckee River, Nevada. |
Anpalaki J. Ragavan |
source |
13 |
| WUSS |
2008 |
Score Test of Proportionality Assumption for Cox Models |
Xiao Chen |
source |
6 |
| WUSS |
2008 |
Step your way through Path Analysis |
Diana D. Suhr |
source |
10 |
| WUSS |
2008 |
User-friendly SAS Macro Application for performing all possible mixed model selection - An update |
George C. J. Fernandez |
source |
19 |
| PHUSE EU |
2008 |
A Collection of SAS Macros to Calculate Odds Ratios using Spline Regression |
Martin Gregory |
source |
9 |
| PHUSE EU |
2008 |
Statistics for Non-Statisticians |
Shambhavi Nayak |
source |
10 |
| PNWSUG |
2008 |
Applied Aspects of Using Multiple Imputation in Clinical Data |
Christina Gullion |
|
7 |
| NESUG |
2008 |
SAS Program for Bivariate Growth Curve with Kalman Filter |
Amy E. Begley,
Qianyu Dang,
Patricia R. Houck,
Sati Mazumdar |
|
6 |
| SGF |
2008 |
Applying SAS Mixed-Model Procedures to Educational-Assessment Data |
Brian Patterson |
source |
8 |
| SGF |
2008 |
Building Mathematics-Achievement Models for Developed and Developing Countries: An Application of SAS to Large-Scale, Secondary Data Management and Analysis |
Ha Phan |
source |
12 |
| SGF |
2008 |
Data Mining Application of Non-Linear Mixed Modeling in Water Quality Analysis |
Anpalaki J. Ragavan |
source |
14 |
| SGF |
2008 |
Factor Analysis of Caregiver-Strain Questionnaire in Clinical Research |
Hui Liu,
David Shen,
Louie Huang |
source |
8 |
| SGF |
2008 |
Generalized McNemar's Test for Homogeneity of Marginal Distributions |
Xuezheng Sun,
Zhao Yang |
source |
10 |
| SGF |
2008 |
PROC MIXED: Underlying Ideas with Examples |
David A. Dickey |
source |
18 |
| SGF |
2008 |
Structural Equation Modeling and Path Analysis Using PROC TCALIS in SAS 9.2 |
Yiu-Fai Yung |
source |
20 |
| NESUG |
2007 |
Application of Ghosh, Grizzle and Sen's Nonparametric Methods in Longitudinal Studies Using SAS PROC GLM |
Chan Zeng,
Gary Zerbe |
|
14 |
| NESUG |
2007 |
Nonlinear Programming for Maximum Likelihood Estimation |
Robert J. Gallop |
|
12 |
| SESUG |
2007 |
A METHODOLOGICAL APPROACH TO PERFORMING CLUSTER ANALYSIS WITH SAS |
William F. McCarthy |
source |
13 |
| SESUG |
2007 |
PROC MIXED: Underlying Ideas with Examples |
David A. Dickey |
source |
19 |
| MWSUG |
2007 |
RANDOM and REPEATED statements - How to Use Them to Model the Covariance Structure in Proc Mixed |
Charlie Liu |
|
11 |
| 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 |
Time Series Cross Sectional Analysis of Total Nitrogen Concentration in Truckee River, Nevada Using SAS |
Anpalaki J. Ragavan |
source |
11 |
| PHUSE EU |
2007 |
Using SAS to perform a stratified t-test |
John Salter |
source |
7 |
| SCSUG |
2007 |
Individual Growth Analysis Using PROC MIXED |
Maribeth H. Johnson |
|
10 |
| PNWSUG |
2007 |
An Introduction to Statistical Power Calculations for Linear Models with SAS 9.1 |
Robin High |
|
17 |
| PharmaSUG |
2007 |
A Review of Propensity Score Application in Healthcare Outcome and Epidemiology |
Guiping Yang |
|
24 |
| PharmaSUG |
2007 |
Effects of Multicollinearity in All Possible Mixed Model Selection |
George C. J. Fernandez |
|
18 |
| PharmaSUG |
2007 |
Growing Growth Curves Using PROC MIXED and PROC NLMIXED |
Jeffrey M. Gossett,
Pippa Simpson,
Patrick Casey,
Leanne Whiteside-Mansell,
Robert Bradley,
Chan-Hee Jo |
|
10 |
| PharmaSUG |
2007 |
Promotion Response Analysis in the Pharmaceutical Industry - Lessons to be Learned From Clinical Trials Methodologies |
Alejandro Jaramillo |
|
12 |
| SGF |
2007 |
Analyzing Time Series Cross-Sectional Data with the PANEL Procedure |
Jan Chvosta,
Donald Erdman |
source |
11 |
| SGF |
2007 |
Customer Case Study: The Evolution of Financial Risk Analytics at EnCana |
Gord Anderson,
Mark Perrin |
source |
15 |
| SGF |
2007 |
Growing Up Fast: SAS 9.2 Enhancements to the GLIMMIX Procedure |
Oliver Schabenberger |
source |
20 |
| SGF |
2007 |
Latent Class Analysis in SAS-Promise, Problems, and Programming |
David M. Thompson |
source |
12 |
| SGF |
2007 |
Local and Global Optimal Propensity Score Matching |
Marcelo Coca-Perraillon |
source |
9 |
| SGF |
2007 |
Model Selection in PROC MIXED-A User-Friendly SAS Macro Application |
George C. J. Fernandez |
source |
20 |
| SGF |
2007 |
ODS Statistical Graphics for Clinical Research |
Wei Cheng |
source |
20 |
| SGF |
2007 |
Population Pharmacokinetics Studies with Nonlinear Mixed Effects Modeling |
Zaizai Shen,
David Lu |
source |
11 |
| SGF |
2007 |
Regression Splines with Longitudinal DATA |
Chan-Hee Gossett,
Jeff M. Simpson,
Pippa M. Jo |
source |
6 |
| SGF |
2007 |
Repeated Measures Analysis with Clustered Subjects |
Ramon C. Littell |
source |
11 |
| SGF |
2007 |
Using PROC NLMIXED and PROC GLMMIX to Analyze Dyadic Data with a Dichotomous Dependent Variable |
Peter L. McMahon,
James M. Pouget,
Enrique R. Flom |
source |
10 |
| MWSUG |
2006 |
All Possible Model Selection in Proc Mixed - A SAS macro application |
George C. J. Fernandez |
|
19 |
| SCSUG |
2006 |
Flattening Dependent Tables from Relational Databases for Use in SAS Processing |
David Welch |
|
34 |
| PHUSE EU |
2006 |
Adding (p-) Value to Tables -- a Programmer''s Perspective |
Kathryn Wright |
source |
10 |
| PHUSE EU |
2006 |
Analysis of incomplete two-period crossover trials with SAS PROC MIXED |
Jochen Müller-Cohrs |
source |
8 |
| SESUG |
2006 |
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 |
| SESUG |
2006 |
Designing Information-Service Products: A Hierarchical Bayesian Approach |
Nan-Ting Chou |
source |
9 |
| SESUG |
2006 |
Gene Expression Profiling of DNA Microarray Data using Association rule and Structural Equation Modeling |
Mussie A. Tesfamicael |
source |
7 |
| SESUG |
2006 |
Generating Multivariate Normal Data by Using PROC IML |
Lingling Han |
source |
6 |
| SESUG |
2006 |
Graphics for Statistical Concepts and Data Display |
David A. Dickey |
source |
19 |
| SESUG |
2006 |
Individual Growth Analysis Using PROC MIXED |
Individual Growth |
source |
10 |
| WUSS |
2006 |
Model Selection Methods in PROC MIXED |
George C. J. Fernandez |
source |
19 |
| WUSS |
2006 |
PROC GENMOD with GEE to Analyze Correlated Outcomes Data Using SAS |
Tyler C. Smith,
Besa Smith |
source |
14 |
| WUSS |
2006 |
Sample Survey Data and the Procs you OUGHT To Be Using |
David L. Cassell |
source |
13 |
| WUSS |
2006 |
The Basics of Structural Equation Modeling |
Diana D. Suhr |
source |
19 |
| NESUG |
2006 |
Using PROC NLMIXED and PROC GLIMMIX to analyze dyadic data with binary outcomes |
Peter L. Flom,
Samuel Friedman,
James McMahon,
Enrique Pouget |
|
10 |
| PharmaSUG |
2006 |
A Method/Macro Based on Propensity Score and Mahalanobis Distance to Reduce Bias in Treatment Comparison in Observational Study |
Wuwei Wayne Feng,
Yu Jun,
Rong Xu |
|
11 |
| PharmaSUG |
2006 |
A SAS Macro to Find the Best Fitted Model for Repeated Measures Using PROC MIXED |
Jingjing Wang |
|
8 |
| PharmaSUG |
2006 |
Analyzing Ordinal Repeated Measures Data Using SAS |
Bin Yang |
|
8 |
| PharmaSUG |
2006 |
From GLM to GLIMMIX-Which Model to Choose? |
Patricia B. Cerrito |
|
7 |
| 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 |
A Comparison of the MIXED Procedure and the GLIMMIX Procedure |
Jennifer L. Ferrell |
source |
8 |
| SUGI |
2006 |
Analyzing Multivariate Longitudinal Data Using SAS |
Feng Gao,
Chengjie Xiong,
Paul A. Thompson,
J. Philip Miller |
source |
9 |
| SUGI |
2006 |
Application of Proc Discrim and Proc Logistic in Credit Risk Modeling |
Jin Li |
source |
9 |
| SUGI |
2006 |
Empirical Power Estimation for Phase I Dose-Proportionality Studies Based on Power-Law Model Using Confidence Interval Criteria |
Jihao Zhou,
Jane Li,
Bruce Coate,
Melissa Chen |
source |
11 |
| SUGI |
2006 |
Exploratory or Confirmatory Factor Analysis? |
Diana D. Suhr |
source |
17 |
| SUGI |
2006 |
ODS Statistical Graphics for Clinical Research |
Wei Cheng |
source |
10 |
| 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 |
| MWSUG |
2005 |
A Comparison Of Linear Mixed Models To Generalized Linear Mixed Models: A Look At The Benefits Of Physical Rehabilitation In Cardiopulmonary Patients |
Jennifer Ferrell |
|
7 |
| MWSUG |
2005 |
Time Dependent Data Exploration And Preprocessing: Doing It All By SAS |
Joseph Twagilimana |
|
10 |
| WUSS |
2005 |
A Comparison of Missing Data Handling Methods |
Catherine Truxillo |
source |
20 |
| WUSS |
2005 |
A Comparison of Two Procedures to Fit Multi-Level Data: PROC GLM versus PROC MIXED |
MaryAnne DePesquo Hope |
source |
7 |
| WUSS |
2005 |
Computing Exact Power for Multivariate Repeated Measurements Design |
Jimmy Thomas Efird,
Kavitha Alimineti |
source |
4 |
| WUSS |
2005 |
Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models |
Oliver Schabenberger |
source |
20 |
| WUSS |
2005 |
ODS Statistical Graphics for Clinical Research |
Wei Cheng |
source |
20 |
| WUSS |
2005 |
Using Proc Mixed to Model Daytime Log-Cortisol Slopes |
Eric Neri,
Helena Chmura Kraemer,
Arthur M. Noda,
Yung Wang |
source |
4 |
| NESUG |
2005 |
Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models |
Oliver Schabenberger |
|
20 |
| 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 |
| SUGI |
2005 |
A Comparison of Two Procedures to Fit Multi-Level Data: PROC GLM versus PROC MIXED |
Erin D. Shannon,
MaryAnne DePesquo Hope |
source |
7 |
| SUGI |
2005 |
A Macro for Computing Point Estimates and Confidence Intervals for Mahalanobis Distance |
Kristine Y. Hogarty,
Jeffrey D. Kromrey,
Melinda R. Hess,
John M. Ferron |
source |
10 |
| SUGI |
2005 |
An Introduction to Quantile Regression and the QUANTREG Procedure |
Colin Chen |
source |
24 |
| SUGI |
2005 |
Analyzing Incomplete Binary Repeated Measures Data Using SAS |
Bin Yang |
source |
8 |
| SUGI |
2005 |
Guidelines for Selecting the Covariance Structure in Mixed Model Analysis |
Charles D. Kincaid |
source |
8 |
| SUGI |
2005 |
Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models |
Oliver Schabenberger |
source |
20 |
| SUGI |
2005 |
Maximum Likelihood Parameter Estimation with Incomplete Data |
Catherine Truxillo |
source |
19 |
| SUGI |
2005 |
Testing the Hypothesis of a Kroneckar Product Covariance Matrix in Multivariate Repeated Measures Data |
Anuradha Roy,
Ravindra Khattree |
source |
11 |
| NESUG |
2004 |
Thumbs Up For ODS Graphics, But Don't Throw Out All Your SAS/GRAPH Programs! |
Richard M. Mitchell |
|
16 |
| NESUG |
2004 |
Using PROC GENMOD for Loglinear Smoothing |
Tim Moses,
Alina A. von Davier |
|
17 |
| SESUG |
2004 |
A System to Calculate Market Value-at-Risk using SAS/IML and Oracle |
George Rezek |
source |
12 |
| SESUG |
2004 |
Case Studies in Time Series: Periodic Behavior and Related Issues |
Periodic Behavior,
Related Issues,
David A. Dickey |
source |
16 |
| SESUG |
2004 |
Mixed Model Influence Diagnostics |
Oliver Schabenberger |
source |
17 |
| SESUG |
2004 |
Structural Equation Modeling Assessing Micro Array Data |
Mussie A. Tesfamicael |
source |
10 |
| WUSS |
2004 |
A System to Calculate Market Value-at-Risk using Oracle and Monte Carlo Simulation in SAS/IML |
George Rezek |
source |
12 |
| WUSS |
2004 |
Computing Exact Power and Sample Size for Hotelling's T2-test and Related Multivariate Procedures |
Jimmy Thomas Efird,
Kavitha Alimineti |
source |
4 |
| WUSS |
2004 |
Mixed Model Influence Diagnostics |
Oliver Schabenberger |
source |
17 |
| WUSS |
2004 |
PROC GENMOD for Analysis of Correlated Outcome Data Using the LOGIT Link Function |
Tyler C. Smith,
Besa Smith,
William Honner,
Ming Ji |
source |
14 |
| MWSUG |
2004 |
A System to Calculate Market Risk |
George Rezek |
|
11 |
| MWSUG |
2004 |
Presenting the Binary Logit Model Effectively using SAS |
Hun Myoung Park |
|
11 |
| PNWSUG |
2004 |
A System to Calculate Market Value-at-Risk using Oracle and Monte Carlo Simulation |
George Rezek |
|
12 |
| PharmaSUG |
2004 |
Automate Pharmacodynamic Analyses of Repeated Measure in Clinical Trials Using SAS Mixed Procedure |
Adeline Yeo,
Grace Li |
|
5 |
| PharmaSUG |
2004 |
Graph the R Matrix in Linear Mixed Model |
Jian Wu,
Peter Button |
|
8 |
| PharmaSUG |
2004 |
Making Model Selection in Linear Mixed-Effects Models An Easy Process: A SAS Macro Procedure |
Henry Cheng,
Yuli Xie,
Elizabeth Reinbolt |
|
4 |
| PharmaSUG |
2004 |
Traditional Repeated Measures Analysis Versus Random Coefficients Models Using PROC MIXED |
Radhi Abdulnabi |
|
9 |
| SUGI |
2004 |
A System to Calculate Market Value-at-Risk using Oracle |
George Rezek |
source |
11 |
| SUGI |
2004 |
Case Studies in Time Series II: Periodic Behavior and Related Topics |
David A. Dickey |
source |
17 |
| SUGI |
2004 |
Creating Scales from Questionnaires: PROC VARCLUS vs. Factor Analysis |
David J. Pasta,
Diana D. Suhr |
source |
19 |
| SUGI |
2004 |
Fitting Longitudinal Mixed Effect Logistic Regression Models with the NLMIXED Procedure |
Peter H. Van Ness,
John R. O'Leary,
Amy L. Byers,
Terri R. Fried,
Joel A. Dubin |
source |
7 |
| SUGI |
2004 |
Mixed Model Influence Diagnostics |
Oliver Schabenberger |
source |
18 |
| SUGI |
2004 |
Model-Based Multiple Imputation |
Geoffrey Paulin,
Shirley Tsai,
Melissa Grance |
source |
13 |
| SUGI |
2004 |
On the Use of PROC MIXED to Estimate Correlation in the Presence of Repeated Measures |
Anthony C. Hamlett,
Louise Ryan,
Russell D. Wolfinger |
source |
8 |
| SUGI |
2004 |
Repeated Measures Modeling with PROC MIXED |
E. Barry Moser |
source |
20 |
| SUGI |
2004 |
Some Statistical Strategies for Analyzing Confirmatory Studies Involving One or More Occurrences of Primary Events |
Gary G. Koch,
Maura E. Stokes |
source |
21 |
| SUGI |
2004 |
Thumbs Up For ODS Graphics, But Don't Throw Out All Your SAS/GRAPH Programs! |
Richard M. Mitchell |
source |
17 |
| WUSS |
2003 |
Advanced Analytics with Enterprise Guide |
Catherine Truxillo,
Stephen McDaniel |
source |
9 |
| WUSS |
2003 |
LIFETEST+ODS+IML=Stratified Log Rank Tests |
Ann Olmsted |
source |
5 |
| WUSS |
2003 |
Principal Component Analysis, A Powerful Scoring Technique |
George C. J. Fernandez |
source |
6 |
| SESUG |
2003 |
Bulletproofing and Knowledge Encapsulation in Statistical Macros |
John K. Troxell |
source |
4 |
| SESUG |
2003 |
Comparison of PROC MIXED and PROC GLM for Analysis of Repeated Measures Data |
Hossein N. Yarandi |
source |
6 |
| PharmaSUG |
2003 |
A SAS Macro to Automate The Covariance Structure Determination in Repeated Measures Data Analysis with Mixed Procedure |
Don (Dongguang) Li |
|
4 |
| PharmaSUG |
2003 |
Parameter estimation for incomplete bivariate longitudinal data in clinical trials |
Naum M. Khutoryansky |
|
6 |
| PharmaSUG |
2003 |
Using Model Fitting Information and PROC PLOT to Select the Type of Variance-Covariance Structure for Repeated Measures |
Radhi Abdulnabi |
|
8 |
| PharmaSUG |
2003 |
Using SAS software for Multilevel Models in Survival Analysis |
Gisela Tunes da Silva |
|
4 |
| SUGI |
2003 |
A SAS/IML Program for Mapping QTL in Line Crosses |
Chenwu Xu,
Shizhong Xu |
source |
6 |
| SUGI |
2003 |
Estimating Standard Errors for CLASS Variables in Generalized Linear Models Using PROC IML |
David J. Pasta,
Miriam G. Cisternas |
source |
6 |
| MWSUG |
2002 |
Random Coefficient Model for Hazard Analysis Critical Control Points (HACCP) A Pilot Study |
Xinpeng (Tom) Wang,
Yating Sun,
Julie Caswell |
|
3 |
| MWSUG |
2002 |
Random, Repeated or Both? Analyzing a Repeated Measures Design using PROC MIXED |
Keith Dunnigan |
|
7 |
| MWSUG |
2002 |
Using Model Fitting Information and PROC PLOT to Select the Type of Varianc-Covariance Structur |
Radhi Abdulnabi |
|
7 |
| SESUG |
2002 |
Variance Estimates for Census 2000 Using SAS/IML Software |
Peter P. Davis |
source |
6 |
| WUSS |
2002 |
Structural Equation Modeling: Easy Solutions Using SAS |
Shuqiang Zhang |
source |
5 |
| WUSS |
2002 |
Using SAS/IML to Perform Hierarchical Bayes Estimation for Discrete Choice Modeling |
David Steehard,
Nan-Ting Chou |
source |
5 |
| SEUGI |
2002 |
The problem of treasurey portfolio optimisation [presentation] |
Alexey Kulemin,
Vasily Konuzin,
Vasily Sorokoumov,
Victor Kulyshev |
source |
52 |
| PharmaSUG |
2002 |
Bayesian Analysis of Population Bioequivalence Using the Independence Chain Algorithm in PROC MIXED |
Chain Algorithm |
|
6 |
| PharmaSUG |
2002 |
Bulletproofing and Knowledge Encapsulation in Statistical Macros |
John K. Troxell |
|
4 |
| SUGI |
2002 |
A Macro for Examining the Consequences of Error Structure Misspecifications |
John M. Ferron,
Kristine Y. Hogarty,
Melinda Hess,
Jeanine L. Romano |
source |
6 |
| SUGI |
2002 |
A SAS/IML Macro for Computation of Confidence Intervals for Variance Components of Mixed Models |
Ann M. Hess,
Hari Iyer |
source |
4 |
| SUGI |
2002 |
Discriminant Analysis, A Powerful Classification Technique in Data Mining |
George C. J. Fernandez |
source |
9 |
| SUGI |
2002 |
Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician |
Richard M. Mitchell |
source |
10 |
| SUGI |
2002 |
Individual Growth Analysis Using PROC MIXED |
Maribeth H. Johnson |
source |
7 |
| SUGI |
2002 |
Redesigning Experiments with Polychotomous Logistic Regression: A Power Computation Application |
Charles M. Vaughan,
Serge Guzy |
source |
6 |
| SUGI |
2002 |
SEM for Health, Business, and Education |
Diana D. Suhr |
source |
8 |
| MWSUG |
2001 |
Using The SAS Mixed Procedure to Analyze the Repeated Measures Data |
Hongsen Zhou |
|
9 |
| NESUG |
2001 |
Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician |
Richard M. Mitchell |
|
10 |
| NESUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe |
|
13 |
| NESUG |
2001 |
Replicate-Based Variance Estimation in a SAS Macro |
Julia L. Bienias |
|
9 |
| NESUG |
2001 |
Using Taylor's Linearization Technique in StEPS to Estimate Variances for Non-Linear Survey Estimators |
Roger L. Goodwin |
|
10 |
| WUSS |
2001 |
Discriminant Analysis, A Powerful Classification Technique in Data Mining |
George C. J. Fernandez |
source |
9 |
| WUSS |
2001 |
PROC GLM or PROC CALIS? |
Diana D. Suhr |
source |
5 |
| SESUG |
2001 |
Individual Growth Analysis Using PROC MIXED |
Maribeth H. Johnson |
source |
7 |
| SESUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe |
source |
13 |
| SCSUG |
2001 |
Individual Growth Analysis Using PROC MIXED |
Maribeth H. Johnson |
|
7 |
| SCSUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe,
Ralph G. O'Brien |
|
13 |
| SEUGI |
2001 |
A New Decision-Making Support Analysis for the Auditing Area at Banca Monte Dei Paschi Di Siena [presentation] |
Francesco Marzocchi,
Renato Coppi,
Roberto Tognazzi |
source |
28 |
| PharmaSUG |
2001 |
Fitting Gompertz Nonlinear Mixed Model to Infancy Growth Data with SAS version 8 Procedure NLMIXED |
Cindy Q. Song,
Olga M. Kuznetsova |
|
8 |
| PharmaSUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe |
|
14 |
| SUGI |
2001 |
A Macro Program for ANOVA or ANCOVA, Using PROC GLM or PROC MIXED |
Zaizai Lu,
David Shen |
source |
4 |
| SUGI |
2001 |
An Introduction to Computing and Interpreting Cronbach Coefficient Alpha in SAS |
Chong Ho Yu |
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 |
Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician |
Richard M. Mitchell |
source |
10 |
| SUGI |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe,
Ralph G. O'Brien |
source |
13 |
| SUGI |
2001 |
PROC GLM or PROC CALIS? |
Diana D. Suhr |
source |
3 |
| SCSUG |
2000 |
Estimating Regression Models with Spatially-Correlated Errors Using the MIXED Procedure |
Sam Field |
|
15 |
| SCSUG |
2000 |
Multi-Level Intervention Study Data and PROC MIXED |
Tom Bohman |
|
13 |
| SCSUG |
2000 |
Repeated-Measures Analysis and PROC MIXED |
Shana Smith,
Torsten B. Neilands |
|
17 |
| SCSUG |
2000 |
The Use of PROC MIXED for Analyzing Cohort-Sequential Designs |
C. Nathan Marti |
|
11 |
| SESUG |
2000 |
Computation of pvalues for Multiple Comparisons with a Control in the SAS System |
Jean G. Orelien |
source |
9 |
| SESUG |
2000 |
Underlying Construct Analysis (UCA): Where Individual Systems End and Human Systems Begin |
Alvin L. Killough |
source |
8 |
| WUSS |
2000 |
Analyzing Multiple Health Outcomes Using the SAS System's PROC CATMOD |
Besa Smith |
source |
5 |
| WUSS |
2000 |
Gaining Insight Using Visualization Techniques |
Curtis A. Smith,
Philip A. Cosby |
source |
5 |
| WUSS |
2000 |
PROC CALIS Multi-Sample Analysis |
Diana D. Suhr |
source |
3 |
| SEUGI |
2000 |
Two sides to the modelling problem [presentation] |
Philip Whittall |
source |
14 |
| PharmaSUG |
2000 |
Meta-Analysis with Linear and Nonlinear Multilevel Models Using PROC MIXED and PROC NLMIXED |
Eugene Komaroff,
Russell D. Wolfinger |
|
4 |
| PharmaSUG |
2000 |
Running Reports Using the PROC Mixed Procedure |
Marina V. Kungurtseva |
|
8 |
| SUGI |
2000 |
A Primer in Spatial Simulation with PROC SIM2D |
Robert G. Downer |
source |
3 |
| SUGI |
2000 |
Custom Design of Complicated Block Experiments |
G. Bruce Schaalje,
Chris H. Bodily,
Bruce J. Collings |
source |
4 |
| 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 |
Multiple Comparisons with a Control in GEE Models |
Jean G. Orelien,
Jun Zhai,
Richard W. Morris |
source |
6 |
| SUGI |
2000 |
Multiple Imputation for Missing Data: Concepts and New Development |
Yang Yuan |
source |
10 |
| SCSUG |
1999 |
Normalization of Peak Demand for an Electric Utility Using PROC Model |
J. Mark Harris,
Jeff Brown,
Mark Gilbert |
|
7 |
| SESUG |
1999 |
Analysis of Longitudinal Data: Comparison between PROC GLM and PROC MIXED |
Maribeth H. Johnson |
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 |
| NESUG |
1999 |
Fitting Nonlinear Mixed Models with the New NLMIXED Procedure |
Russell D. Wolfinger |
|
10 |
| NESUG |
1999 |
Get Report Running PROC Mixed Procedure |
Marina V. Kungurtseva |
|
10 |
| MWSUG |
1999 |
Longitudinal Data Analysis Repeated-Measure ANOVA and Mixed Models |
Nancy E. Briggs,
Ching-Fan Sheu |
|
6 |
| MWSUG |
1999 |
REG, GLM, ANOVA: Which One? Why? How? |
Linda M. Quinn |
|
6 |
| MWSUG |
1999 |
Using PROC MIXED in Hierarchical Linear Models: Examples from two- and three-level school-effect analysis, and meta-analysis research |
Sawako Suzuki,
Ching-Fan Sheu |
|
8 |
| SEUGI |
1999 |
SAS procedures for the estimation of quality test methods in test laboratories [presentation] |
Celine Bensoussan |
source |
29 |
| SUGI |
1999 |
Advances in Multiple Comparisons and Multiple T-Tests Using the SAS System |
Peter H. Westfall,
Randall D. Tobias |
source |
9 |
| SUGI |
1999 |
Fitting a Multisource Regression Model with Random Slopes, A Fisheries Application of SAS PROC MIXED |
Robert G. Downer,
Mark C. Benfield |
source |
5 |
| SUGI |
1999 |
Fitting Nonlinear Mixed Models with the New NLMIXED Procedure |
Russell D. Wolfinger |
source |
10 |
| SUGI |
1999 |
Simplification on Learning Model by Using PROC GENMOD |
Kuolung Hu,
David Mckinzie,
Karen Nowak |
source |
6 |
| SUGI |
1999 |
The Effect of Missing Data on Repeated Measures Models |
Maribeth H. Johnson |
source |
6 |
| SUGI |
1999 |
Using SAS/INSIGHT Software as an Exploratory Data Mining Platform |
Robin Way |
source |
6 |
| MWSUG |
1998 |
SEGLINK: A SAS System MACRO for Variance-components genetic linkage analysis |
Jennifer H. Lin,
Michael A. Province |
|
4 |
| MWSUG |
1998 |
Using PROC MIXED To Analyze a Repeated Measures Design |
Keith Dunnigan |
|
6 |
| SCSUG |
1998 |
Laboratory Data Management and Reporting |
O. M. Little |
|
30 |
| WUSS |
1998 |
Estimating Standard Errors of Treatment Effects for Probit Models and for Linear Models of Log-Transformed Variables with PROC IML |
David J. Pasta,
Miriam Cisternas,
Cynthia L. Williamson |
source |
6 |
| WUSS |
1998 |
New SAS Procedures for Analysis of Sample Survey Data |
Anthony B. An,
Donna L. Watts |
source |
11 |
| WUSS |
1998 |
Which Path with PROC CALIS? |
Diana D. Suhr |
source |
7 |
| NESUG |
1998 |
Geostatistics Using the SAS System |
A. Katherine Ricci |
|
5 |
| SESUG |
1998 |
The Effect of Missing Data on Repeated Measures Models |
Maribeth H. Johnson |
|
5 |
| SEUGI |
1998 |
GLM and MIXED procedures to treat longitudinal data |
Sandrine Laguerre |
source |
9 |
| SEUGI |
1998 |
Unpleasant data? A chance of powerful multi-variant analysis in clinical trials with data not meeting the conditions |
Thomas Bregenzer |
source |
13 |
| 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 |
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 |
| SUGI |
1998 |
Nonlinear Mixed Effects Models, a Tool for Analyzing Repeated Measurements: A Brief Tutorial Using SAS Software |
Peter P. Gaccione,
M.S. Blanchard |
source |
6 |
| SUGI |
1998 |
The Effect of Missing Data on Sample Sizes for Repeated Measures Models |
Maribeth H. Johnson,
Peter P. Davis |
source |
5 |
| SUGI |
1998 |
Using SAS for Statistical Modeling: Monte Carlo Simulations |
Sean W. Mulvenon,
M. Austin |
source |
6 |
| SCSUG |
1997 |
A Generalization of the Stuart-Maxwell Test |
Stephen I. Black,
Mithat Gonen |
|
14 |
| WUSS |
1997 |
Confirmatory Factor Analysis Using PROC CALIS |
Diana D. Suhr,
James Keaton,
Lynne Kelly,
Cynthia Finch |
source |
5 |
| WUSS |
1997 |
Estimation of Shelf-Life and the Minimum Effective Dose Using PROC MIXED |
Louis Munyakazi |
source |
6 |
| WUSS |
1997 |
Logistic Regression Modeling in Complex Surveys: Examples Using LOGITSE SAS Macro |
Jesse Albert Canchola,
Brian D. Marx,
Joseph A. Catania |
source |
10 |
| NESUG |
1997 |
Nonlinear Mixed Effects Models, a tool for analyzing repeated-measurements data whose function is nonlinear in the parameters. |
Suzette Blanchard |
|
7 |
| MWSUG |
1997 |
Analysis of Covariance: A Useful Tool For Investigating Molecular Interaction |
John A. Wass |
|
3 |
| MWSUG |
1997 |
Using SAS/STAT to Analyze Correlated Data |
Marlene Goormastic |
|
7 |
| SESUG |
1997 |
Analysis of Repeated Measures and Longitudinal Data |
Jane Pendergast |
|
8 |
| SESUG |
1997 |
The Case of the Missing Data |
Maribeth H. Johnson,
Mark S. Litaker |
|
6 |
| SUGI |
1997 |
Characterization of Variance in Medical Diagnostics: The Analysis of "Usual" Data |
John A. Wass |
source |
5 |
| SUGI |
1997 |
Creating Clinical Trial Summary Tables Containing P-Values: A Practical Approach Using Standard SAS Macros |
Jun Zuo,
Carl R. Haske |
source |
6 |
| SUGI |
1997 |
Estimation via EM-Algorithm in a Bivariate Random Effects Model |
Amrik Shah,
Kirk A. Easley |
source |
8 |
| 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 |
Model Selection in Linear Mixed Effects Models Using SAS PROC MIXED |
Long Ngo,
Richard Brand |
source |
6 |
| SUGI |
1997 |
Use of PROC MIXED in the Analysis of Repeated Measures Data from a Clinical Trial in Obsessive Compulsive Disorder |
William Bushnell,
Martin Steiner |
source |
6 |
| SUGI |
1997 |
Using Higher Order Asymptotics to Improve P-values and Confidence Intervals Given by PROC MIXED |
Ben Lyons,
Dawn Peters |
source |
5 |
| SESUG |
1996 |
Discriminant Analysis via Statistical Packages |
Carl J Huberty,
Laureen L. Lowman |
|
11 |
| SESUG |
1996 |
Using SASe to Write a LlSREL Program |
Francis J. Kelley |
|
8 |
| NESUG |
1996 |
BIOEQ4: Bioequivalence Macro to Create both Table and SAS data set according to the FDA Bioequivalence Guidelines Issued in 1992 |
Mary Kay McPherson |
|
6 |
| NESUG |
1996 |
Maximum Likelihood Estimation with SAS/IML |
Charles B. Hallahan |
|
7 |
| WUSS |
1996 |
Repeated Measures Analysis with the SAS System |
Kathleen Kierman |
source |
10 |
| SEUGI |
1996 |
Neural networks and/or classical statistics?! |
Jorg Imhoff,
Michael Wetzel |
source |
19 |
| SUGI |
1996 |
A Plan to Implement the LlMU Model by a Slight Modification of the Current MIXED Procedure |
Mark X. Norleans |
source |
5 |
| SUGI |
1996 |
Estimating and Evaluating Correlation Structures in Repeated Measures Designs Using the GLM and MIXED Procedures |
Maribeth H. Johnson,
Tom Baranowski |
source |
5 |
| SUGI |
1996 |
Examining the File Contribution Server: Interesting Applications |
Richard D. Langston |
source |
4 |
| SUGI |
1996 |
Imputation of Data Missing Due to Truncation --- A SAS Macro for Maximum Likelihood Estimates Using Symmetry Property |
Zhengyu Wang,
ViswanaThan Ramakrishnan,
John M. Davis |
source |
6 |
| SUGI |
1996 |
Latent-Variable, Structural-Equation Modeling with PROC CALIS |
Larry Hatcher |
source |
10 |
| SUGI |
1996 |
Repeated Measures - A Better way? |
Edith Flaster |
source |
10 |
| SUGI |
1996 |
Repeated Measures Analysis with Discrete Data Using the SAS System |
Gordon Johnston |
source |
5 |
| 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 |
| SUGI |
1996 |
Using SAS Software to Perform Multivariate Adjustment of Regression Coefficients Corrected for Regression Dilution Bias |
Greg A. Grandits,
Patricia Grambsch |
source |
3 |
| MWSUG |
1995 |
Applications of PROC PHREG Enhancements in Version 6.10 |
Ying C. So |
|
9 |
| MWSUG |
1995 |
Hypothesis Testing & Confidence Interval Estimation via the Least Absolute Value (LAV) Approach |
Tom G. Filloon |
|
6 |
| MWSUG |
1995 |
Simulation and Bootstrapping in the SAS System: A tutorial using PROC IML |
Paul A. Thompson |
|
10 |
| NESUG |
1995 |
A Macro That Generates the PROC GLM LSMEANS Table from the LSMEANS Output Data Set |
Michael A. Walega |
|
2 |
| NESUG |
1995 |
Data Reduction: An Introduction to Principal Components Analysis |
Jennifer L. Caveny,
James F. Murray |
|
10 |
| NESUG |
1995 |
Practical Consdierations in Estimating Linear Dose Response From A Phase I/II Titration Study With Subjects As Random Effects |
Virginia Fitzpatrick,
Ruth Swithenbank |
|
7 |
| WUSS |
1995 |
Heteroskedasticity in Regression Model - Detection and Remedial Measures Using SAS 6.10 |
George C. J. Fernandez |
source |
10 |
| SESUG |
1995 |
Intraclass Correlation Reliability Estimation Using the GLM and MIXED Procedures |
Maribeth H. Johnson |
|
5 |
| SEUGI |
1995 |
SAS Macros for Nonparametric Tests in the Case of Multivariate Incomplete Data from two Populations |
Thomas Bregenzer |
source |
7 |
| SEUGI |
1995 |
The Analysis of Cross-Over Study with Repeated Measures within PEriods by Using Different Covariance Structures |
Juhani Tuominen,
Sanna Hinkka |
source |
12 |
| SUGI |
1995 |
Adjusted F-Tests for Repeated Measures with the MIXED Procedure |
S. Paul Wright |
source |
6 |
| SUGI |
1995 |
Analytic Modeling in SAS/INSIGHT Software |
Heman Robinson |
source |
6 |
| SUGI |
1995 |
Be Bullish with SASe Financial and Investment Analysis with Ease |
Paul J. Ratnaraj |
source |
10 |
| SUGI |
1995 |
Calculating Confidence Intervals on Proportions of Variability Using the VARCOMP and IML Procedures |
Annette M. Green,
David Umbach |
source |
6 |
| SUGI |
1995 |
Comparing the SAS GLM and MIXED Procedures for Repeated Measures |
Ming Chang,
Russell D. Wolfinger |
source |
11 |
| SUGI |
1995 |
Conducting Linear Growth Curve Analysis with the SAS System |
Laura Ichikawa,
William E. Barlow |
source |
6 |
| SUGI |
1995 |
Generating Bivariate Random Numbers from Normal, Log Normal, and Gamma Distributions Using SAS Software |
Laurie T. Elstun |
source |
3 |
| SUGI |
1995 |
Modeling Variation in Repeated Measures Data |
Ramon C. Littell |
source |
5 |
| SUGI |
1995 |
Path Analysis with the CALIS Procedure: A Step-By-Step Approach to Writing the Program |
Larry Hatcher |
source |
4 |
| SUGI |
1995 |
Robust Analysis Adds M-uscle to Data Analyses |
E. Charlene Drago,
Tom Filloon |
source |
6 |
| NESUG |
1994 |
A SAS Macro Incorporating Discriminant Analystis Techniques |
Sivaram Kalyandrug,
Antonis D. Koutsoukos,
Lawrence V. Rubinstein |
|
9 |
| NESUG |
1994 |
How to Survive PROC LIFETEST |
Peter P. Gaccione |
|
10 |
| MWSUG |
1994 |
Alternative Approaches to Mixed Linear Models |
George W. Pasdirtz |
|
6 |
| SESUG |
1994 |
rOSTERS Applications in SASIIMLTM: Getting Odds Ratios from PROC LOGISTIC |
D. Kim Chantala |
|
5 |
| SEUGI |
1994 |
Evaluation d'Actifs financiers par le modèle d'arbitrage sur le marché Européen |
Frederic Debaere |
|
14 |
| SEUGI |
1994 |
Graphical Extensions for Principal Component Analysis (Insight of a Dream PCA) |
Philippe Besse |
source |
16 |
| SEUGI |
1994 |
Marketing Data Analysis with SAS Software |
Zdzislaw Piasta |
source |
10 |
| SEUGI |
1994 |
SAS System Macros for Multi-variate Two-sample Tests in the Case of Incomplete Data |
Thomas Bregenzer |
source |
10 |
| SEUGI |
1994 |
Using PROC MIXED on Animal Growth Curves Some Initial Experiences |
Graham Healey |
source |
10 |
| SUGI |
1994 |
A Comparison of the GLM, IML, and MIXED Procedures for Use in Spatial Statistical Analyses |
William J. Price,
Bahman Shafii |
source |
6 |
| SUGI |
1994 |
BestClass: A Robust Nonparametric Classification Package |
A. Pedro Duarte Silva,
Antonie Starn |
source |
6 |
| SUGI |
1994 |
Computing Case Diagnostics for Structural Equation Models |
Noel G. Cadigan |
source |
5 |
| SUGI |
1994 |
Constructing Multivariate Control Charts with SAS Software |
Melissa A. Durfee |
source |
9 |
| SUGI |
1994 |
Introduction to Repeated Measures |
William G. LeBlanc |
source |
9 |
| SUGI |
1994 |
Mixed Model Analysis of Data: Transition from GLM to MIXED |
Ramon C. Littell |
source |
8 |
| 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 |
Constructing Multivariate Control Charts is SAS |
Melissa A. Durfee |
|
9 |
| WUSS |
1993 |
A Modification of Two-Stage Least Squares in Quasi-Experiments |
Alex Ezuzides,
Raymond C. Peck |
source |
9 |
| WUSS |
1993 |
A SAS Macro to Test the Significance of Differences Between Parameter Estimates in PROC CATMOD |
Linda R. Ferguson,
Mel Widawski,
Dawn M. Upchurch |
source |
5 |
| SEUGI |
1993 |
A New Look at the Facilities in PROC MIXED |
James L. Roger |
source |
12 |
| SEUGI |
1993 |
EEG Multi-variate Traces Analysed Using PROC MIXED |
Tracy Parker |
source |
10 |
| SEUGI |
1993 |
Exploratory Data Analysis Using SAS Software |
Gerhard Held |
source |
11 |
| SEUGI |
1993 |
Extensions to Multivariate Descriptive Analysis |
Yves Roy |
source |
14 |
| SEUGI |
1993 |
Simulation Models for Business Planning and Economic Forecasting |
Liza Evans |
source |
7 |
| SEUGI |
1993 |
The Analysis of Repeated Measures Designs Using the SAS System |
Alun Bedding |
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 Introduction to SAS/LAB Software |
Katherine J. Roggenkamp |
source |
10 |
| SUGI |
1993 |
Exploratory Data Analysis Using SAS Software |
Greg J. Weier,
Randall D. Tobias |
source |
11 |
| SUGI |
1993 |
Simulation Models for Business Planning and Economic Forecasting |
Donald Erdman |
source |
7 |
| SUGI |
1993 |
The Pricing of Stock Returns That Have a Time Varying Beta Coefficient Using the SAS/IML Module |
Michael Murray |
source |
7 |
| SUGI |
1993 |
Using SAS/IML for Multiyear Rotation Design Sampling and Estimation in Agricultural Surveys |
Yillian Yuan,
Raj S. Chhikara,
Lih-Yuan Deng |
source |
6 |
| SUGI |
1993 |
Using SAS/IML Software to Generate Odds Ratios and Associated Intervals Based on Logistic Regression Output |
Catherine O. Cowie,
Danita D. Byrd-Hol,
Keith F. Rust |
source |
6 |
| SESUG |
1993 |
Repeated Measures Using PROC MIXED Instead of PROC GLM |
James H. Roger,
Michael Kenward |
|
10 |
| NESUG |
1992 |
An In-Depth Look at the PHREG Procedures |
Peter P. Gaccione |
|
9 |
| NESUG |
1992 |
Principles of Logistic Regression in Radiation Oncology |
J. Efird,
F. Pardo,
P. Okunieff,
D. Shoenfeld,
H. Aronen |
|
10 |
| SEUGI |
1992 |
Data Analysis and Storage Using the SAS System at JET, the Joint European Torus |
Knud Thomsen |
source |
16 |
| SEUGI |
1992 |
SAS/INSIGHT Software: Introduction and New Features |
Gerhard Held |
source |
7 |
| 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 |
A SAS Macro to Extend the Friedman Test for the Unbalanced Case Plus a Multiple Comparisons Procedure |
Kirk A. Easley |
source |
4 |
| SUGI |
1992 |
A Simulation Study of Estimators for Rates of Changes in Longitudinal Studies with Attrition |
Fong Wang,
Mary Lange |
source |
6 |
| SUGI |
1992 |
Analytic Modeling in SAS/INSIGHT Software |
Heman Robinson |
source |
6 |
| SUGI |
1992 |
Bootstrap Estimation of the Variance of Percentile Regression Parameters |
Michael L. Smith,
George Howard,
Gregory W. Evans |
source |
9 |
| SUGI |
1992 |
Ordination and Display of Multivariate Data |
E. Barry Moser |
source |
10 |
| SUGI |
1992 |
Statistical Simulations Using the CALIS Procedure |
David P. MacKinnon |
source |
5 |
| SUGI |
1992 |
Testing the Rationality of Panel Data Forecasts Using a GMM Estimator |
Richard H. Cohen |
source |
6 |
| SUGI |
1992 |
Using SAS Software to Evaluate the Power of Alternative Data Analytic Methods for Repeated Measures Designs |
Thomas C. Chenier |
source |
6 |
| SUGI |
1992 |
Using the GLM Procedure to Analyze Multivariate Response in Crossover Designs |
Julie Myers Grender,
William D. Johnson |
source |
6 |
| SUGI |
1992 |
Using the NLIN Procedure to Combine Estimates of Relative Potency |
Stan Altan,
Jaya Natarajan |
source |
6 |
| SCSUG |
1991 |
A Variable Selection Algorithm for Quadratic Discriminant Analysis |
Samuel L. Seaman,
Dean M. Young |
|
4 |
| NESUG |
1991 |
Using Spreadsheet Systems to Complement SAS/STAT |
Edward Lee,
Kendall Bryant,
Mary-Ellen Power |
|
8 |
| SEUGI |
1991 |
An Example of the Use of Historical Information in the Analysis of Pharmaceutical Screening Trials |
Egbert Biesheuvel,
R. A. J. Wixley |
source |
9 |
| SEUGI |
1991 |
Future Directions of Statistical Software with the SAS System |
David M. DeLong |
source |
20 |
| SUGI |
1991 |
A Macro for Multivariate Statistical Process Control |
Meng-Koon Chua |
source |
5 |
| SUGI |
1991 |
A SAS Program for Calculating and Displaying Regression Lines in Two-Way ANCOVA Models with Unequal Slopes |
Joseph J. Andary |
source |
5 |
| SUGI |
1991 |
Analysis of Sparse Repeated Categorical Measurement Data |
Alan Agresti,
Stuart Lipsitz,
Joseph B. Lang |
source |
9 |
| SUGI |
1991 |
Econometric Modeling of Sweetgum Stem Biomass Using the IML and SYSLIN Procedures |
Bernard R. Parresol,
Charles E. Thomas |
source |
6 |
| SUGI |
1991 |
Mixed Models: A Future Direction |
Russell D. Wolfinger,
Randall D. Tobias,
John P. Sall |
source |
9 |
| SUGI |
1991 |
Ridge Regression from Correlation Matrix Input |
Lawrence Hotchkiss,
John R. Gerlach |
source |
6 |
| SUGI |
1991 |
Robust Estimator for Linear Regression |
Ashok Mehta |
source |
7 |
| SUGI |
1991 |
SAS Software Automated IC50 Parameter Estimation with Repeated Measures Data |
Dorene M. Emmrich,
Linda Archer,
Greg Silva,
Charles R. Villarrubia |
source |
3 |
| SUGI |
1991 |
Statistical Graphics for Multivariate Data |
Michael Friendly |
source |
6 |
| SUGI |
1991 |
Using SAS/IML Software in a New Approach to Dealing with Multicollinearity |
Kevin D. Brunson,
Lawrence C. Marsh |
source |
5 |
| SUGI |
1991 |
Using the IML Procedure for Iteratively Reweighted Multiple Linear Regression with a Block-diagonal Covariance Matrix |
Donald H. MacQueen |
source |
5 |
| SEUGI |
1990 |
Directions of the SAS System in Statistics and Decision Support |
Gerhard Held |
source |
7 |
| SEUGI |
1990 |
Exploratory Data Analysis of a Cube of Data by the ACT (STATIS Method) Using SAS/IML and SAS/GRAPH Software |
Pierre Traissac |
source |
8 |
| SEUGI |
1990 |
RV Coefficient and Principal Component Analysis of Instrumental Variables Using SAS/IML Software |
Pascal Schlich |
source |
8 |
| SUGI |
1990 |
A SAS Macro for Testing for Compound Symmetry and the Hunyh-Feldt Condition |
Richard R. Allen |
source |
3 |
| SUGI |
1990 |
An Exploratory Data Analysis Approach to Qualitative Response Modeling Using SAS/IML and SAS/GRAPH Software |
Merwyn L. Elliott,
Ross Hightower,
Caleb Chan |
source |
6 |
| SUGI |
1990 |
ANALYSIS OF COVARIANCE: REPEATED IfEASURES AND SPLIT-Plur DESIGNS |
George A. Milliken |
source |
10 |
| SUGI |
1990 |
Analysis of Covariance: Repeated Measures and Split-Plot Designs |
Gilda P. Pareja |
source |
5 |
| SUGI |
1990 |
Analyzing a Regression Model with a General Positive Definite Covariance Matrix with the SAS System |
Gerardo I. Hurtado |
source |
7 |
| SUGI |
1990 |
Estimating Standard Errors for a Proposed Survey |
Samuel M. Slowinski,
Hank Leddon |
source |
6 |
| SUGI |
1990 |
Performance of Multiple Comparisons in Repeated Measures Designs under Nonsphericity |
Steven F. Thomson |
source |
6 |
| SUGI |
1990 |
The Analysis of Data from 2 X 2 Crossover Trials with Baseline Measurements |
Joe DiGennaro,
William C. Huster |
source |
6 |
| 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 |
| NESUG |
1989 |
The Analysis of Repeated Measurement Designs |
Jean Hardy |
|
7 |
| SEUGI |
1989 |
HyTAO - An Expert System For Statistical Data Processing |
Markku Korhonen |
source |
13 |
| SUGI |
1989 |
A SAS Matrix Software Macro for Testing the Random Effects in Random Models with Unequal Cell Frequencies in the Last Stage |
Jose Gallo,
Andre I. Khuri,
Richard MacElderry |
source |
6 |
| SUGI |
1989 |
A SAS Program for the Generalization of the Paired T-Test |
H. P. Lee,
James Lee |
source |
5 |
| SUGI |
1989 |
A SAS/IML Matrix Program to Estimate Indirect Effects and Their Standard Errors |
David P. MacKinnon,
Eric Yu I. Wang |
source |
6 |
| SUGI |
1989 |
Analysis of Covariance: Multiple Covariates |
George A. Milliken |
source |
10 |
| SUGI |
1989 |
Confounding of Effects in Equal n Designs: Factorial ANCOVA |
Scott E. Maxwell,
Harold D. Delaney |
source |
6 |
| SUGI |
1989 |
Discriminant Diagnostics |
Peter A. Lachenbruch,
Yong-Xiao Wang |
source |
6 |
| SUGI |
1989 |
Estimating Stochastic Coefficient Models with the SAS System |
Charles B. Hallahan |
source |
6 |
| SUGI |
1989 |
Estimating the Translog Functional Form and Calculating Elasticities with Standard Errors: An Application of the IML Procedure |
Gary S. Klonicki |
source |
6 |
| SUGI |
1989 |
Issues Related to Analyzing Repeated Measurement Data |
Ramon C. Littell,
Jane Pendergast |
source |
|
| SUGI |
1989 |
Multivariate Models for the Analysis of Crossover Experiments |
Vernon M. Chinchilli,
Ronald K. Elswick |
source |
5 |
| SUGI |
1989 |
Outlier Selection in Non-11D Linear Models with Applications to Variance Components |
Thomas Gerig,
Gerardo I. Hurtado |
source |
5 |
| SUGI |
1989 |
Variance Component Analysis |
Ronald R. Hocking |
source |
4 |
| SEUGI |
1988 |
New Developments in Psychometric and Market Research Procedures |
Gerhard Held |
source |
5 |
| SUGI |
1988 |
A Multivariate Approach to Social Inequality |
Martin G. Ribe |
source |
6 |
| SUGI |
1988 |
Generalized Least Squares Regression with Partially Correlated Data |
Andrew J. R. Gillespie |
source |
4 |
| SUGI |
1988 |
Logit Models for Ordered Categorical Response Data |
Alan Agresti |
source |
9 |
| SUGI |
1988 |
Repeated Measures Analysis with the SAS System |
Ramon C. Littell,
Jane Pendergast |
source |
7 |
| SUGI |
1988 |
The Analysis of Covariance for Split-Unit and Repeated-Measures Experiments Using the GLM Procedure (II) |
W.T. Federer,
Michael P. Meredith,
Nancy J. Miles-McDermott |
source |
6 |
| SUGI |
1988 |
Using Multivariate Statistical Techniques for Quality Improvement |
Lonnie C. Vance |
source |
5 |
| SEUGI |
1987 |
F-G Diagonalisation Using PROC MATRIX and Macro Language |
Marco Vaccari |
source |
14 |
| SUGI |
1987 |
A SAS Macro for Estimating Missing Values in Multivariate Data |
Gina M. Capalbo,
James S. Roberts |
source |
3 |
| SUGI |
1987 |
Estimation of Variance Components in Mixed Factorial Models Including Model-based Diagnostics |
Ronald H. Bremer,
John W. Green,
Ronald R. Hocking |
source |
6 |
| SUGI |
1987 |
Low-Dimensional Representation of High-Dimensional Data for Multiple Populations with Unequal Covariance Matrices |
Virgil R. Marco,
Danny W. Turner,
Dean M. Young |
source |
6 |
| SUGI |
1987 |
Measures of Multivariate Skewness and Kurtosis |
Ronald Kalinoski,
NamJun Kang |
source |
6 |
| SUGI |
1987 |
SAS System Statistical Procedures Applied to the Analysis of Water Quality Data |
Paul D. Mowery |
source |
10 |
| SUGI |
1987 |
The Analysis of Survival Data with Concomitant Information using Parametric Models: PROC HAZARD and PROC HAZPRED |
Eugene H. Blackstone,
David C. Naftel |
source |
6 |
| SUGI |
1987 |
The Bayesian Estimation of Linear Models: An Application of the Lindley-Smith Hyperparameter Model |
Dennis J. Aigner,
Joseph G. Hirschberg |
source |
6 |
| SUGI |
1987 |
Treatment of Lagged Dependent Regressors and Autocorrelated Errors in SAS/ETS Software |
Thomas B. Fomby,
Joseph G. Hirschberg |
source |
6 |
| SUGI |
1987 |
Using SAS/IML ""Software - A Multivariate Control Chart Example |
Phil Cirulli |
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 |
A Macro for Conditional Ordinary Least Squares and Weighted Least Squares Analysis of Repeated Measures Data |
Margaret Burchinal |
source |
6 |
| SUGI |
1986 |
A Macro Library for Classical and Robust Multivariate Modeling |
Kathryn S. Fletcher,
E. James Harner |
source |
3 |
| SUGI |
1986 |
A SAS Program for ANOVA When the Input Data are Group Means |
Aloha E. Bryson |
source |
6 |
| SUGI |
1986 |
Inference from the Incomplete Longitudinal Design: A Collection of SAS Macros |
James Rochon |
source |
6 |
| SUGI |
1986 |
Programs for the GMANOVA and Extended GMANOVA Models |
Vernon M. Chinchilli,
Ronald K. Elswick |
source |
8 |
| SUGI |
1986 |
Repeated Application of a Generalized Logistic Model To Count Data Using PROC MATRIX |
Linda Williams Pickle |
source |
6 |
| SUGI |
1986 |
Tukey-Kramer and Dunnett Procedures Based on the LSMEANS Statement |
John M. Koester,
Kathleen Mellars,
Harji I. Patel |
source |
6 |
| SUGI |
1986 |
Using SAS Software to Generate Leave-One-Out Hit Rate Estimates for Group Classification |
Cathy A. Stawarski,
Joseph M. Wisenbaker |
source |
6 |
| SEUGI |
1985 |
New Features of the SAS/ETS and SAS/OR Software in Version 5 |
John C. Brocklebank |
source |
37 |
| SUGI |
1985 |
A Monte Carlo Comparison of Extended Mantel-Haenszel Procedures |
Daniel W. Griffin |
source |
6 |
| SUGI |
1985 |
A Quadratic Program for Determining Efficient Frontier Portfolio Compositions Using the SAS Language |
Alex Anckonie III |
source |
6 |
| SUGI |
1985 |
A SAS Macro for Logistic Discrimination for Three or More Populations |
James E. Dunn,
Eileen C. King |
source |
6 |
| SUGI |
1985 |
Assessing the Impact of VM System Modifications using VMAP and the SAS System |
Harriet E. Brichta |
source |
6 |
| SUGI |
1985 |
Bounded Influence Regression Using SAS Software |
David Giltinan |
source |
6 |
| SUGI |
1985 |
Changes and Enhancements to SAS/ETSSoftware |
David M. DeLong,
Leigh A. Ihnen,
Mark Little |
source |
12 |
| SUGI |
1985 |
Estimating Autocorrelations and Crosscorrelations where Missing Values are Present: A SAS Macro |
Pan-Yu Lai,
Kenneth M. Portier |
source |
5 |
| SUGI |
1985 |
Functions and Subroutines Not Documented in the SAS User's Guide |
Robert A. Frank |
source |
6 |
| SUGI |
1985 |
Methods of Generating Model Estimates in the PRINQUAL MACRO |
Warren F. Kuhfeld,
Warren S. Sarle,
Forrest W. Young |
source |
10 |
| SUGI |
1985 |
Multivariate Data Analysis Using the SAS System |
E. James Harner |
source |
6 |
| SUGI |
1985 |
PROC PECAN - A SAS Procedure |
Sivaram Kalyandrug,
Jay H. Lubin |
source |
8 |
| SUGI |
1985 |
Repeated Measures in Nonlinear Models |
Ronald W. Helms,
Keith E. Muller |
source |
5 |
| SUGI |
1985 |
SAS Matrix Algorithms for the Recovery of Interblock Information in Lattice and Incomplete Block Designs |
Paul L. Cornelius |
source |
3 |
| SUGI |
1985 |
Selection of Variables for Identification of Transfer Function Models on SAS Software |
James A. Deddens,
Wang Ping |
source |
6 |
| SEUGI |
1984 |
SAS Macros to Test Validity Conditions in the ANOVA of Repeated Measures Designs |
M. Hucher |
source |
8 |
| SUGI |
1984 |
A SAS Macro for Performing Repeated Significance Testing in Censored Survival Analyses |
Gordon W. Davis,
James F. Ward |
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 Multivariate Linear Models: New Results and SAS Software Make It Practical |
Keith E. Muller,
Bercedis L. Peterson |
source |
6 |
| SUGI |
1984 |
Repeated Measures Analysis in PROC GLM |
Phil Spector |
source |
10 |
| SUGI |
1984 |
REPREG: A Repeated Measures Regression Program |
Randy L. Carter,
James T. Love |
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 Produce Summary Tables of GLM-Calculated Statistics |
Margaret A. Grady |
source |
6 |
| SUGI |
1983 |
A Diagnostic Tool for Mixed Models with Application to Negative Estimates of Variance Components .. |
Ronald R. Hocking |
source |
|
| SUGI |
1983 |
A Macro for Maximum Likelihood Fitting Log-Linear Models to Poisson and Multinomial Counts with Contrast Matrix Capability for Hypothesis Testing |
Gary G. Koch,
Maura E. Stokes |
source |
6 |
| SUGI |
1983 |
A Procedure for Estimating Parameters in Nonlinear Random Models |
Paulette Johnson,
George A. Milliken |
source |
4 |
| SUGI |
1983 |
An Algorithm for Producing Exact Maximum Likelihood Estimates for an ARIMA(p,q) Process |
Carol M. Reilly |
source |
3 |
| SUGI |
1983 |
Analysis of Covariance Using SAS GLM |
Shayle R. Searle |
source |
10 |
| SUGI |
1983 |
Analyzing Analysis of Covariance Models in Repeated Measures Designs Using SAS |
James E. Laughlin,
James S. Roberts |
source |
4 |
| SUGI |
1983 |
Overview of Categorical Data Analysis Methods |
Ingrid A. Amara,
Susan Atkinson,
Gary G. Koch,
William M. Stanish |
source |
10 |
| SUGI |
1983 |
PROC MATRIX Macros for the Generalized Incomplete Model (GIM) and for the Multiple Design Matrix Model (MDM) |
Diane Fairclough,
Ronald W. Helms |
source |
6 |
| SUGI |
1983 |
PROC MCSTRAT |
Susanne L. Daood,
James M. Naessens,
Kenneth P. Offord |
source |
8 |
| SUGI |
1983 |
Robust Discriminant Analysis |
Anthony A. Billings,
E. James Harner |
source |
6 |
| SUGI |
1983 |
SAS Methods for Standard Error of Estimate in Maximum Likelihood Factor Analysis .. |
Susanna F.M. Clarkson,
Douglas B. Clarkson |
source |
5 |
| SUGI |
1983 |
The SAS Macros for Non parametric Analysis of Repeated Measures Designs |
Melvin Moeschberger,
P. K. Tandon |
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 |
1983 |
Univariate and Multivariate Repeated Measures Analysis Through PROCs REG, GLM, and MATRIX |
Robert S. Barcikowski,
Randall R. Robey |
source |
6 |
| SUGI |
1983 |
Within-Drug Changes in a Multicenter Clinical Trial and Their Applications .. |
Harji I. Patel |
source |
|
| SUGI |
1982 |
A Comparison of Procedures for the Classification of Multivariate Observations |
Cathryn Gust,
Rebecca Klemm |
source |
4 |
| SUGI |
1982 |
Approaches to Estimating Covariance Matrices with Partial Multinomial Data |
Mark W. Riggs,
W.B. Smith |
source |
10 |
| SUGI |
1982 |
Approaches to Estimation and Testing in the Mixed Model |
R. Kirk Steinhorst |
source |
|
| SUGI |
1982 |
Four Topics in Statistics |
Rudolf J. Freund |
source |
8 |
| SUGI |
1982 |
Linear Models with Dominant Variables |
Peter S. Lufkin |
source |
6 |
| SUGI |
1982 |
New Time Series Features in SAS |
David M. DeLong |
source |
3 |
| SUGI |
1982 |
Paired Comparison Estimation and Analysis: A SAS Macro |
Ramon C. Littell,
Walter W. Offen |
source |
5 |
| SUGI |
1982 |
Robustness of Discriminant Functions |
Peter A. Lachenbruch |
source |
7 |
| SUGI |
1982 |
SAS MACRO "REP2 "for Unweighted Means Analysis of Repeated Measures |
Robert V. Zupkis |
source |
8 |
| SUGI |
1982 |
SAS/GRAPH and the Geometryof Statistical Distributions |
Charles F. Hofacker,
Paul Hoffman |
source |
8 |
| SUGI |
1982 |
Some Aspects of the Rank Transform in Analysis of Variance Problems |
Ronald L. Iman |
source |
|
| SUGI |
1982 |
The Evaluation of Federal Programs in Education |
Garrett K. Mandeville |
source |
|
| SUGI |
1982 |
The Rank Transformation in Discriminant Analysis |
William Jay Conover,
Ronald L. Iman |
source |
10 |
| SUGI |
1982 |
Weibull Regression and Hazard Estimation |
Jan M. Hanley,
William H. Rogers |
source |
11 |
| SUGI |
1981 |
A SAS Macro for EDF Goodhess-of-fit Tests |
Charles S. Davis |
source |
6 |
| SUGI |
1981 |
Discriminant Analysis |
Tom R.Bohannon |
source |
|
| SUGI |
1981 |
Estimation of Fixed Effects in Mixed Models with Unbalanced Data |
Walter R. Harvey |
source |
7 |
| SUGI |
1981 |
Reprint File Management Using SAS |
Charles S. Davis |
source |
|
| SUGI |
1981 |
Robust Modeling of Data Using PROC MATRIX |
Anthony A. Billings,
E. James Harner,
Ronald D.King |
source |
|
| SUGI |
1981 |
STATAN, a Conversational Interface to Facilitate SAS Usage or It Pays To Get Your SAS in Gear |
Anne M.Parkhurst |
source |
|
| SUGI |
1981 |
Using Spatial Statistics to Produce Risk Qualified Maps |
R. A. Bilonick |
source |
|
| SUGI |
1980 |
A Macro for Multivariate Randomization Analyses of Stratified Sample Data |
Ingrid A. Amara,
Gary G. Koch |
source |
11 |
| SUGI |
1980 |
Analysis of Repeated Measures Experiments: One- and Two-way Classifications |
Louis Bonus,
Harji I. Patel |
source |
6 |
| SUGI |
1980 |
Another Application of Stepwise Multivariate Analysis Using SAS |
Chandu M. Patel |
source |
6 |
| SUGI |
1980 |
Fitting Time Series Using SAS |
David M. DeLong |
source |
5 |
| SUGI |
1980 |
Recent Developments in BMDP of Special Interest to SAS Users |
James W. Frane |
source |
8 |
| SUGI |
1980 |
The DISCRIM Procedure in SAS: A Comparative Analysis |
Emma L. Frazier |
source |
5 |
| SUGI |
1979 |
A SAS Macro for Ridge Analysis of Multivariate General Linear. Models |
Kenneth A. Hardy,
Again N. Sinha |
source |
5 |
| SUGI |
1979 |
Application of Stepwise MANOVA and MANCOV Using SAS |
Chandu M. Patel |
source |
9 |
| SUGI |
1979 |
GLMM5 as a Tool for Simultaneous Study of the Structure of the Covariance Matrix and Experimental Design Effects |
Ronald W. Helms,
James D. Hosking,
Keith E. Muller |
source |
4 |
| SUGI |
1979 |
GLMM5,Analysis of Growth and Dose-Response Curves |
Ronald W. Helms,
Paul W. Stewart |
source |
6 |
| SUGI |
1979 |
SAS Macros for Analyzing Growth Curves |
Carlos A. Gonzalez |
source |
4 |
| SUGI |
1979 |
The Role of Package Programs in Statistical Methods Courses |
Thomas A. Bubolz,
James E. Gentle |
source |
7 |
| SUGI |
1979 |
Using GLMM5 for General Linear Models Analysis - A Tutorial II. Three Examples |
Imogene McCanless,
Ronald W. Helms |
source |
9 |
| SUGI |
1979 |
Using GLMM5 for General Linear Models Analysis - A Tutorial-: I. A:Brief Overview of the System |
Ronald W. Helms,
Imogene McCanless |
source |
7 |
| SUGI |
1978 |
A Ridge Regression Algorithm Versus the Classical Least Squares Regression Model |
Bradford T. Greene,
Kareem A. Nakkash |
source |
6 |
| SUGI |
1978 |
Generating Multivariate Normal Data in SAS |
Daniel M. Chilko,
E. James Harner |
source |
4 |
| SUGI |
1978 |
SAS Procedure for the Analysis of Covariance with Intra-Class Regression Model in One- and Two-Way Classifications |
Harji I. Patel |
source |
5 |
| SUGI |
1978 |
Some Applications of the Discriminant Function Procedure |
Emilio A. Icaza,
Kenneth L. Koonce |
source |
4 |
| SUGI |
1978 |
Unsymmetrical Parallel Line Bioassay Using SAS |
Chiao Yeh |
source |
5 |
| SUGI |
1977 |
SAS as Programming Tool and Central Data Interface with Other Statistical Software |
Douglas Cockrell,
Mike Foxworth,
Gary Griepentrog |
source |
|
| SUGI |
1977 |
The Analysis of Dissolution Data Using SAS |
Daniel M. Chilko,
Stephen Howard,
John W. Mauger |
source |
6 |
| SUGI.ONE |
1976 |
A Comparison of BMD, SAS and SPSS |
T. Papaioannou,
G.P.H. Styan,
L.L. Ward |
source |
21 |
| SUGI.ONE |
1976 |
Discriminant or Cluster Analysis |
Paul D. Hopkins,
Harold F. Huddleston |
source |
11 |
| SUGI.ONE |
1976 |
Use of the Harvey Procedure |
Walter R. Harvey |
source |
3 |
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