| WUSS |
2026 |
The GENMOD Toolkit: What do you do when things aren't Normal? [presentation] |
Danny R. Modlin |
source |
36 |
| PHUSE APAC |
2026 |
Mixed Models & Measured Outcomes: R Tips from the Clinical Trenches |
Keyur Shah |
source
presentation source |
5 |
| PHUSE EU |
2025 |
GLMM and GEE for Categorical Repeated Measures - Linking SAS and R |
Miriam Amor |
source
presentation source |
16 |
| PHUSE EU |
2025 |
Multiple Imputations Overview of Missing Data Problem, Solution Methods and SAS Implementation |
Dmytro Kalinin |
source
presentation source |
13 |
| SESUG |
2025 |
Modernizing Predictive Modeling in SAS: When to Move Beyond PROC GLM |
Duha Khan,
Sriya Venkat,
Sydney McDermott |
|
8 |
| SESUG |
2025 |
Navigating Model Choice in SAS: A Case-Based Decision-Support Framework for PROC REG, GLM, GENMOD, and MIXED |
Sriya Venkat |
|
10 |
| SESUG |
2025 |
The GENMOD Toolkit: What do you do when things aren't Normal? |
Danny R. Modlin |
|
36 |
| SESUG |
2025 |
Writing ESTIMATE statements to compare continuous scores over time overall and by group |
Alexis Wardell,
Allison M. Deal |
|
18 |
| WUSS |
2025 |
The GENMOD Toolkit: What do you do when things aren't Normal? [presentation] |
Danny R. Modlin |
source |
36 |
| MWSUG |
2024 |
What if Proc Power Can't Help? Calculating Power via Simulation, Example with Count Regression |
Brandy R. Sinco,
Joceline Vu,
Pasithorn Suwanabol |
source |
16 |
| 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 |
| SESUG |
2024 |
A Comprehensive Analysis of the Relationship Between Depression, Sleep Deprivation, and Self-Esteem Using Advanced Statistical Methods |
Muslihat Adejoke Gaffari |
source |
43 |
| SESUG |
2024 |
Creating a Publication-Quality Multi-Panel Graph For Generalized Linear Model Analysis. |
Neeta Shenvi |
source |
19 |
| 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 |
| SESUG |
2023 |
Wald Tests in Mixed Models - a Warning |
David A. Dickey |
source |
20 |
| PharmaSUG |
2022 |
Estimating Differences in Probabilities (Marginal Effects) with Confidence Interval |
Jun Ke,
Kelly Chao,
Corey Evans |
source |
4 |
| PHUSE US |
2021 |
Dynamic Macro Using the Convergence Dataset to Generate the Odds Ratio (OR), Risk Ratio (RR) and Risk Difference (RD) per SOC and PT Using the Genmod Procedure [presentation] |
Jagadish Katam |
source
video |
26 |
| PharmaSUG |
2021 |
Dynamic macro using the convergence dataset to generate the Odds Ratio (OR), Risk Ratio (RR) and Risk Difference (RD) per SOC/PT using Genmod procedure |
Jagadish Katam |
source |
20 |
| SESUG |
2020 |
Using GENMOD to Calculate Prevalence Ratio for Concussion and Suicidal behaviors among U.S. High School Students |
Abbas S. Tavakoli |
source |
13 |
| SGF |
2020 |
A Warning about Wald Tests |
David A. Dickey |
source |
20 |
| SGF |
2020 |
Analyzing Non-normal Data: Application to Missing Data Problems |
Niloofar Ramezani |
source |
10 |
| SGF |
2020 |
Fitting Statistical Models with PROC MCMC |
Mark Ghamsary |
source |
26 |
| SGF |
2020 |
From Santiago to the Spirit Lake Nation: 30 Things I Learned in 30 Years as a Statistical Consultant |
AnnMaria De Mars |
source |
20 |
| SGF |
2020 |
Simulating Data for Complex Linear Models |
Phil Gibbs,
Kathleen Kiernan |
source |
20 |
| SGF |
2020 |
The Past, Present, and Future of Training SAS Professionals in a University Program |
Jonathan W. Duggins,
James E. Blum |
source |
6 |
| SGF |
2020 |
Time After Time: D-I-D and ITS Models in SAS |
Margaret Warton |
source |
21 |
| SGF |
2020 |
Using Factor Analysis and MANOVA to Explore Academic Achievement in the 2016 Monitoring the Future Survey Data |
Stefanie Kairs |
source |
20 |
| SGF |
2020 |
Using SAS Customer Intelligence 360 Multivariate Testing to Determine Incremental Campaign Revenue |
Mia Patterson-Brennan,
Kate Davies |
source |
16 |
| 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 |
| PHUSE EU |
2019 |
SAS/STAT High-performance procedures contrasted with their legacy counterparts |
Roman Ganzha |
source
presentation source |
6 |
| SESUG |
2019 |
Advanced Statistical Modeling within Machine Learning and Big Data Analytics |
Niloofar Ramezani,
George Mason |
source |
16 |
| SESUG |
2019 |
Macros for Neural Network Modeling |
Ross Bettinger |
source |
23 |
| SESUG |
2019 |
Regression Models for Count Data |
Jason Brinkley |
source |
8 |
| SESUG |
2019 |
The Best of Both Worlds: Forecasting Using Time Series with Inputs |
David A. Dickey |
source |
19 |
| WUSS |
2019 |
Statistical Power Calculations Using SAS Software |
Russell M. Lavery |
source |
18 |
| PharmaSUG |
2019 |
%LOGBINAUTO: A SAS 9.4 Macro for Automated Forward Selection of Log-Binomial Models |
Matthew Finnemeyer |
source |
12 |
| SGF |
2019 |
Applying Propensity Score Methods to Complex Survey Data Using PROC PSMATCH |
Patrick Karabon |
source |
10 |
| SGF |
2019 |
SCORE! Techniques for Scoring Predictive Regression Models Using SAS/STAT Software |
Phil Gibbs,
Randy Tobias |
source |
18 |
| SGF |
2019 |
Screening, Transforming, and Fitting Predictors for the Cumulative Logit Model |
Bruce S. Lund |
source |
21 |
| SGF |
2019 |
The Best of Both Worlds: Forecasting Using Time Series with Inputs |
David A. Dickey |
source |
19 |
| SGF |
2019 |
Using SAS Enterprise Guide and SAS Visual Analytics to Model a Large Institutional Data Set |
Pratik Patel,
Maham Khan,
Varsha Sharma,
Shreyas Dalvi,
Shabnam Mehra |
source |
12 |
| SGF |
2019 |
Using SAS Procedures to Fit Rasch Models |
Tianshu Pan,
Yumin Chen |
source |
10 |
| SGF |
2019 |
Zero-Inflated and Zero-Truncated Count Data Models with the NLMIXED Procedure |
Robin High |
source |
18 |
| SCSUG |
2018 |
Machine Learning in Litigation Prediction - Workers' Compensation Litigation Propensity Predictive Model |
Mei Najim |
source |
17 |
| SESUG |
2018 |
Computing Predicted Values and Residuals from Data Sets Containing Classification Variables with Large Numbers of Levels |
Jamie McClave Baldwin,
Ramon C. Littell,
James McClave |
source |
14 |
| SESUG |
2018 |
Regression Models for Count Data |
Jason Brinkley |
source |
8 |
| MWSUG |
2018 |
Screening, Transforming, and Fitting Predictors for Cumulative Logit Model |
Bruce S. Lund |
|
22 |
| MWSUG |
2018 |
Seeing the Forest for the Trees: Part Deux of Defensive Coding by Example |
Donna E. Levy,
Nancy Brucken |
|
10 |
| MWSUG |
2018 |
Square Peg, Square Hole-Getting Tables to Fit on Slides in the ODS Destination for PowerPoint |
Jane Eslinger |
|
18 |
| WUSS |
2018 |
Oops, I D-I-D It Again! Advanced Difference-in-Differences Models in SAS |
Margaret Warton,
Melissa Parker |
source |
17 |
| PharmaSUG |
2018 |
An Introduction to the Analysis of Rare Events |
Nathaniel Derby |
source |
19 |
| PharmaSUG |
2018 |
Seeing the Forest for the Trees: Part Deux of Defensive Coding by Example |
Donna E. Levy,
Nancy Brucken |
source |
10 |
| PharmaSUG |
2018 |
Square Peg, Square Hole-Getting Tables to Fit on Slides in the ODS Destination for PowerPoint |
Jane Eslinger |
source |
18 |
| SGF |
2018 |
A SAS Macro Implementation of a Test for Co-directional Interactions |
Julia Sharp,
Patrick Gerard,
Bereket Tesfaldet |
source |
16 |
| SGF |
2018 |
Alternative Variance Parameterizations in Count Data Models |
Robin High |
source |
14 |
| SGF |
2018 |
Claim Analytics: A Litigation Prediction Case Study |
Mei Najim |
source |
18 |
| SGF |
2018 |
Distribution Circuit Load Forecasting Using Advanced Metering Infrastructure Data |
Prasenjit Shil,
Tom Anderson |
source |
12 |
| SGF |
2018 |
Getting Started with Bayesian Analysis [presentation] |
Danny R. Modlin |
source |
14 |
| SGF |
2018 |
Insights into Using the GLIMMIX Procedure to Model Categorical Outcomes with Random Effects |
Kathleen Kiernan |
source |
23 |
| SGF |
2018 |
New Ways to Incorporate Continuous Predictors in Generalized Linear Models |
Anthony Salis,
Angela Wu,
Gordon Johnston |
source |
15 |
| SGF |
2018 |
Penalized Variable Selection and Quantile Regression in SAS : An Overview |
Russell M. Lavery |
source |
28 |
| SGF |
2018 |
Power Analysis for Generalized Linear Models Using the New CUSTOM Statement in PROC POWER |
John M. Castelloe |
source |
17 |
| SGF |
2018 |
Regression Model Building for Large, Complex Data with SAS Viya Procedures |
Weijie Cai,
Robert N. Rodriguez |
source |
22 |
| SGF |
2018 |
Seeing the Forest for the Trees: Part Deux of Defensive Coding by Example |
Nancy Brucken,
Donna E. Levy |
source |
10 |
| SGF |
2018 |
Square Peg, Square Hole-Getting Tables to Fit on Slides in the ODS Destination for PowerPoint |
Jane Eslinger |
source |
18 |
| SGF |
2018 |
Using Cluster Analysis to Maximize Workplace Design Effectiveness |
Renae Rich |
source |
10 |
| SESUG |
2017 |
Tornado Inflicted Damages Pattern |
Vasudev Sharma |
source |
11 |
| SESUG |
2017 |
Using Categorical Variables in Regression Analysis |
Jonas V. Bilenas |
source |
15 |
| MWSUG |
2017 |
AIR Binder 2.0: A Dynamic Visualization, Data Analysis and Reporting SAS Application for Preclinical and Clinical ADME Assays, Pharmacokinetics, Metabolite Profiling and Identification |
Hao Sun,
Kristen Cardinal,
Richard Voorman |
|
26 |
| MWSUG |
2017 |
Claim Analytics |
Mei Najim |
|
18 |
| MWSUG |
2017 |
Tornado Inflicted Damages Pattern |
Vasudev Sharma |
|
11 |
| MWSUG |
2017 |
Unconventional Statistical Models with the NLMIXED Procedure |
Robin High |
|
14 |
| WUSS |
2017 |
Is My Model the Best? Methods for Exploring Model Fit |
Deanna Naomi Schreiber-Gregory |
source |
7 |
| WUSS |
2017 |
Modeling Longitudinal and Multilevel Data in SAS |
Niloofar Ramezani |
source |
8 |
| WUSS |
2017 |
Standardized Approaches for Analyzing Quality Improvement Interventions in Healthcare Settings |
Polina Kukhareva |
source |
20 |
| WUSS |
2017 |
Step Up Your Statistical Practice with Today's SAS/STAT Software |
Robert N. Rodriguez |
source |
19 |
| PharmaSUG |
2017 |
Translating Statistics into Knowledge by Examples Using SAS Graphic Procedures |
Tao Shu,
Jianfei Jiang |
source |
11 |
| SGF |
2017 |
%SURVEYGENMOD Macro: An Alternative to Deal with Complex Survey Design for the GENMOD Procedure |
Alan Ricardo da Silva |
source |
28 |
| SGF |
2017 |
Analyzing Correlated Data in SAS |
Niloofar Ramezani |
source |
13 |
| SGF |
2017 |
Analyzing Residuals in a PROC SURVEYLOGISTIC Model |
Bogdan Gadidov |
source |
8 |
| SGF |
2017 |
Exploration of Information Technology-Related Barriers Affecting Rural Primary Care Clinics |
Ipe Simon Paramel,
Ankita Srivastava,
Onkar Jadhav,
Jennifer Briggs,
Georgina Ankrah |
source |
11 |
| SGF |
2017 |
Pricing a Self-Funded Health Plan by Applying Generalized Linear Models Using SAS Enterprise Guide |
Luiz Carlos Leao |
source |
20 |
| SGF |
2017 |
Property and Casualty Insurance Predictive Analytics in SAS |
Mei Najim |
source |
17 |
| SGF |
2017 |
Step Up Your Statistical Practice with Today's SAS/STAT Software |
Robert N. Rodriguez,
Phil Gibbs |
source |
19 |
| SGF |
2017 |
The Architecture of the SAS Cloud Analytic Services in SAS Viya |
Jerry C. Pendergrass |
source |
18 |
| SGF |
2017 |
Using a Population Average Model to Investigate the Success of a Customer Retention Strategy |
Colleen E. McGahan |
source |
19 |
| SGF |
2017 |
Using Python with SAS Cloud Analytic Services |
Kevin D. Smith,
Xiangxiang Meng |
source |
23 |
| 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 |
Analyzing non-normal data with categorical response variables |
Niloofar Ramezani,
Allameh Tabataba'i |
source |
9 |
| SESUG |
2016 |
Statistical Model Building for Large, Complex Data: Five New Directions in SAS/STAT Software |
Robert N. Rodriguez |
source |
23 |
| SESUG |
2016 |
Using SAS to Examine the relationship between primary caregivers' Adverse Childhood Experiences (ACE) and Child Abuse Allegations |
Abbas S. Tavakoli,
Kate K. Chappell,
Senna Dejardins |
source |
9 |
| SESUG |
2016 |
Using SAS/QC to Design Optimal Experimental Designs in Consumer Lending |
Jonas V. Bilenas |
source |
12 |
| MWSUG |
2016 |
An Animated Guide: Penalized variable selection techniques in SAS and Quantile Regression |
Russell M. Lavery,
Peter Flom |
|
24 |
| MWSUG |
2016 |
Assessing the Impact of Communication Channel on Behavior Changes in Energy Efficiency |
Angela Wells,
Ashlie Ossege |
|
14 |
| MWSUG |
2016 |
Automating the Process of Generating Publication Quality Regression Tables through SAS Base Programming |
Ji Qi |
|
16 |
| MWSUG |
2016 |
Fitting Complex Statistical Models with PROCs NLMIXED and MCMC |
Robin High |
|
16 |
| MWSUG |
2016 |
Is My Model the Best? Methods for Exploring Model Fit |
Deanna Naomi Schreiber-Gregory |
|
7 |
| MWSUG |
2016 |
Property and Casualty Insurance Predictive Analytics in SAS |
Mei Najim |
|
17 |
| MWSUG |
2016 |
Using SAS to Generate p-Values with Monte Carlo Simulation |
Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Michael Woodford,
Gloria Palmisano,
Gretchen Piatt,
Michele Heisler |
|
14 |
| WUSS |
2016 |
Demystifying the CONTRAST and ESTIMATE Statement |
Hector Lemus |
source |
13 |
| WUSS |
2016 |
How D-I-D you do that? Basic Difference-in-Differences Models in SAS |
Margaret Warton,
Melissa Parker,
Andrew Karter |
source |
11 |
| WUSS |
2016 |
How to analyze correlated and longitudinal data? |
Niloofar Ramezani |
source |
8 |
| WUSS |
2016 |
Introducing the HPGENSELECT Procedure: Model Selection for Generalized Linear Models and More |
Robert N. Rodriguez |
source |
18 |
| WUSS |
2016 |
Selection Bias: How Can Propensity Score Utilization Help Control For It? |
Deanna Naomi Schreiber-Gregory |
source |
13 |
| WUSS |
2016 |
Statistical Model Building for Large, Complex Data: Four New Directions in SAS/STAT Software |
Robert N. Rodriguez |
source |
23 |
| PharmaSUG |
2016 |
Mixed Effects Models |
Yan Wang |
source |
7 |
| PharmaSUG |
2016 |
Using PROC GENMOD with count data |
Meera G. Kumar |
source |
4 |
| SGF |
2016 |
A Property and Casualty Insurance Predictive Modeling Process in SAS |
Mei Najim |
source |
14 |
| SGF |
2016 |
A Short Introduction to Longitudinal and Repeated Measures Data Analyses |
Leanne Goldstein |
source |
19 |
| SGF |
2016 |
Analyzing Non-Normal Binomial and Categorical Response Variables under Varying Data Conditions |
Niloofar Ramezani |
source |
16 |
| SGF |
2016 |
Applying Frequentist and Bayesian Logistic Regression to MOOC data in SAS: a Case Study |
Yan Zhang,
Ryan Baker,
Yoav Bergner |
source
presentation |
7 |
| SGF |
2016 |
Do SAS High-Performance Statistics Procedures Really Perform Highly ? A Comparison of HP and Legacy Procedures |
Diep T. Nguyen,
Sean Joo,
Anh P. Kellermann,
Jeffrey D. Kromrey,
Jessica Montgomery,
Patricia Rodríguez de Gil,
Yan Wang |
source
presentation |
10 |
| SGF |
2016 |
Everyone CAN be a Data Scientist: Using SAS Studio to Create a Custom Task for SAS In-Memory Statistics |
Stephen Ludlow |
source |
20 |
| SGF |
2016 |
exSPLINE That: Explaining Geographic Variation in Insurance Pricing |
Carol Frigo,
Kelsey Osterloo |
source |
6 |
| SGF |
2016 |
Forecasting Behavior with Age-Period-Cohort Models How APC Predicted the US [presentation] |
Mortgage Crisis |
source |
39 |
| SGF |
2016 |
Holiday Demand Forecasting in the Utility Industry |
Rain Xie,
Alex Chien |
source |
13 |
| SGF |
2016 |
Predicting Forest Fire Occurrence and Incremental Fire Rate Using SAS 9.4 and SAS Enterprise Miner 14.1 |
Quyen Nguyen |
source |
12 |
| SGF |
2016 |
Quantitle Regression versus Ordinary Least Squares Regression |
Ruth Croxford |
source |
10 |
| SGF |
2016 |
SAS Macro for Generalized Method of Moments Estimation for Longitudinal Data with Time-Dependent Covariates |
Katherine Cai,
Jeffrey Wilson |
source |
9 |
| SGF |
2016 |
Statistical Model Building for Large, Complex Data: Five New Directions in SAS/STAT Software |
Bob Rodriguez |
source |
23 |
| SGF |
2016 |
Using GENMOD to Analyze Correlated Data on Military Health System Beneficiaries Receiving Behavioral Health Care in South Carolina Health Care System |
Abbas S. Tavakoli,
Jordan Brittingham,
Nikki R. Wooten |
source
presentation |
10 |
| SGF |
2016 |
Using Propensity Score Analyses to Adjust for Selection Bias: A Study of Adolescent Mental Illness and Substance Use |
Deanna Naomi Schreiber-Gregory |
source |
7 |
| SGF |
2016 |
Using SAS to Implement Simultaneous Linking in Item Response Theory |
Lili Yao |
source |
6 |
| MWSUG |
2015 |
A Property & Casualty Insurance Predictive Modeling Process in SAS |
Mei Najim |
|
14 |
| MWSUG |
2015 |
Using SAS for the Longitudinal Analysis of Difference Scores |
Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Gloria Palmisano,
Gretchen Piatt,
Michele Heisler |
|
14 |
| MWSUG |
2015 |
Utilizing Propensity Score Analyses to Adjust for Selection Bias: A Study of Adolescent Mental Illness and Substance Use |
Deanna Naomi Schreiber-Gregory |
|
7 |
| WUSS |
2015 |
A Short Introduction to Longitudinal and Repeated Measures Data Analyses |
Leanne Goldstein |
source |
19 |
| WUSS |
2015 |
Generalized Estimating Equations for Depression Dose Regimes |
Karen Walker |
source |
8 |
| WUSS |
2015 |
Introduction to SAS Quantile Regression (PROC QuantSelect and PROC QuantReg ) |
Peter L. Flom |
source |
25 |
| PharmaSUG |
2015 |
Confidence Intervals Are a Programmer's Friend |
Xinxin Guo,
Zhaohui Su |
source |
8 |
| PharmaSUG |
2015 |
Means Comparisons and No Hard Coding of Your Coefficient Vector - It Really Is Possible! |
Frank J. Tedesco |
source |
8 |
| PharmaSUG |
2015 |
Medication Adherence in Cardiovascular Disease: Generalized Estimating Equations in SAS |
Erica Goodrich,
Daniel Sturgeon |
source |
8 |
| PharmaSUG |
2015 |
Using ANCOVA to Assess Regression to the Mean |
Kathryn Schurr |
source |
9 |
| SGF |
2015 |
"Out Here" Forecasting: A Retail Case Study |
Chris Houck |
source |
9 |
| SGF |
2015 |
Assessing the Impact of Communication Channel on Behavior Changes in Energy Efficiency |
Angela Wells,
Ashlie Ossege |
source |
14 |
| SGF |
2015 |
Data Summarization for a Dissertation: A Grad Student How-To Paper |
Elisa L. Priest,
Ashley Collinsworth |
source |
8 |
| SGF |
2015 |
Double Generalized Linear Models Using SAS: The %DOUBLEGLM Macro |
Paulo Silva,
Alan Ricardo da Silva |
source
zip |
16 |
| SGF |
2015 |
Forest Plotting Analysis Macro %FORESTPLOT |
Jeffrey P. Meyers,
Qian Shi |
source |
18 |
| SGF |
2015 |
GEN_OMEGA2: A SAS Macro for Computing the Generalized Omega-Squared Effect Size Associated with Analysis of Variance Models |
Anh P. Kellermann,
Yi-Hsin Chen,
Jeffrey D. Kromrey,
Thanh Pham,
Patrice Rasmussen,
Patricia Rodríguez de Gil,
Jeanine L. Romano |
source |
12 |
| SGF |
2015 |
How to Use SAS for GMM Logistic Regression Models for Longitudinal Data with Time-Dependent Covariates |
Katherine Cai |
source |
8 |
| SGF |
2015 |
Introduce a Linear Regression Model by Using the Variable Transformation Method [presentation] |
Nancy Hu |
source
zip |
12 |
| SGF |
2015 |
Introducing the HPGENSELECT Procedure: Model Selection for Generalized Linear Models and More |
Gordon Johnston,
Bob Rodriguez |
source |
18 |
| SGF |
2015 |
Lasso Regularization for Generalized Linear Models in Base SAS Using Cyclical Coordinate Descent |
Robert Feyerharm |
source |
10 |
| 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 |
Multiple Ways to Detect Differential Item Functioning in SAS |
Yan Zhang |
source |
9 |
| SGF |
2015 |
Sums of Squares: The Basics and a Surprise |
Sheila Barron,
Michelle Mengeling |
source |
8 |
| SGF |
2015 |
The Comparative Analysis of Predictive Models for Credit Limit Utilization Rate with SAS/STAT |
Denys Osipenko,
Jonathan Crook |
source |
19 |
| SGF |
2015 |
The Spatio-Temporal Impact of Urgent Care Centers on Physician and ER Use |
Laurel Trantham |
source |
6 |
| SGF |
2015 |
Tips for Publishing in Health Care Journals with the Medical Expenditure Panel Survey (MEPS) Data Using SAS |
Seungyoung Hwang |
source |
14 |
| SGF |
2015 |
Using and Understanding the LSMEANS and LSMESTIMATE Statements |
David J. Pasta |
source |
20 |
| SGF |
2015 |
Using the GLIMMIX and GENMOD Procedures to Analyze Longitudinal Data from a Department of Veterans Affairs Multisite Randomized Controlled Trial |
Abbas S. Tavakoli,
Marlene Al-Barwani,
Sue Levkoff,
Selina McKinney,
Nikki R. Wooten |
source |
11 |
| SESUG |
2014 |
Evaluating Additivity of Health Effects of Exposure to Multiple Air Pollutants Given Only Summary Data |
Pollutants Given |
source |
9 |
| 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 |
| PHUSE EU |
2014 |
R for SAS Programmers: It's Different, but Friendly |
Friedrich Schuster |
source
presentation source |
10 |
| MWSUG |
2014 |
A SAS Macro Using Parallel Genetic Algorithm to Automate Variable Selection |
Jinqiao Li,
Yi Cao,
Yanping Shen |
|
19 |
| MWSUG |
2014 |
ANCOVA (Analysis of Covariance): A Visual, Intuitive Understanding |
Michael Senderak |
|
12 |
| MWSUG |
2014 |
Understanding Change through Different Methodological Lens |
Jie Liao |
|
12 |
| WUSS |
2014 |
Using and Understanding LSMEANS and LSMESTIMATE |
David J. Pasta |
source |
20 |
| PharmaSUG |
2014 |
The path less trodden - PROC FREQ for ODDS RATIO |
Manjusha Gondil,
Linga Reddy Baddam |
source |
4 |
| PharmaSUG |
2014 |
Using SAS to Calculate and Compare Adjusted Relative Risks, Odds Ratios, and Hazard Ratios |
Besa Smith,
Tyler C. Smith |
source |
23 |
| SGF |
2014 |
A SAS Macro for Complex Sample Data Analysis Using Generalized Linear Models |
Paulo Henrique Dourado da Silva,
Alan Ricardo da Silva |
source |
19 |
| SGF |
2014 |
Combining Type-III Analyses from Multiple Imputations |
Binhuan Wang,
Yixin Fang,
Man Jin |
source |
6 |
| 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 |
Examples of Logistic Modeling with the SURVEYLOGISTIC Procedure |
Rob Agnelli |
source |
17 |
| SGF |
2014 |
Got Randomness? SAS for Mixed and Generalized Linear Mixed Models |
David A. Dickey |
source |
12 |
| SGF |
2014 |
Power and Sample Size for MANOVA and Repeated Measures with the GLMPOWER Procedure |
John M. Castelloe |
source |
20 |
| SGF |
2014 |
Risk Factors and Outcome of Spinal Epidural Abscess from Incident Hemodialysis Patients from the United States Renal Data System between 2005 and 2008 |
Chan Jin,
Jennifer White,
Rhonda Colombo,
Stephanie Baer,
Usman Afza,
M. Kheda,
Lu Huber,
Puja Chebrolu,
N. Stanley Nahman,
Kristina Kintziger |
source |
4 |
| SGF |
2014 |
SAS/STAT 13.1 Round-Up |
Bob Rodriguez,
Maura E. Stokes |
source |
25 |
| SGF |
2014 |
Using SAS to Evaluate Patient-Directed Quality of Care Interventions |
Scott P. Leslie |
source |
10 |
| SGF |
2014 |
What's New in SAS Enterprise Miner 13.1 |
Jared Dean,
Jonathan Wexler |
source |
16 |
| WUSS |
2013 |
Proper Estimation of Relative Risk Using PROC GENMOD in Population Studies |
Kechen Zhao |
source |
14 |
| 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 |
| SESUG |
2013 |
Comparisons of SAS Mixed and Fixed Effects Modeling for Observed over Expected Count Outcomes in the Presence of Hierarchical or Clustered Data |
Rachel E. Patzer |
source |
9 |
| SESUG |
2013 |
Does the Percentage of College Students and Military Personnel Affect |
Jamelle Simmons |
source |
9 |
| SESUG |
2013 |
Does the Percentage of College Students and Military Personnel Affect Political Contributions Per Zip Code? Visualization with PROC GMAP |
Jamelle Simmons |
source |
9 |
| SESUG |
2013 |
Fit Discrete Distributions via SAS Macro |
Fit Discrete Distributions |
source |
5 |
| SESUG |
2013 |
GEN_OMEGA2: A SAS Macro for Computing the Generalized Omega-Squared Effect Size Associated with Analysis of Variance Models |
Squared Effect Size Associated |
source |
10 |
| PHUSE EU |
2013 |
Bayesian Statistics: Concept and Bayesian Capabilities in SAS |
Mark Janssens |
source
presentation source |
15 |
| PHUSE EU |
2013 |
Using PROC GENMOD to Analyses Ratio to Placebo in Change of Dactylitis |
Imgard Hollweck |
source
presentation source |
9 |
| MWSUG |
2013 |
Ideas and Examples in Generalized Linear Mixed Models |
David A. Dickey |
|
12 |
| SGF |
2013 |
A Case Study of Tuning an Enterprise Business Intelligence Application in a Multi-OS Environment |
Fred R. Forst |
source |
16 |
| SGF |
2013 |
Being Continuously Discrete (or Discretely Continuous): Understanding Models with Continuous and Discrete Predictors and Testing Associated Hypotheses |
David J. Pasta |
source |
19 |
| SGF |
2013 |
Calculating Subset-Weighted Analysis in PROC SURVEYFREQ and PROC GENMOD |
David M. Thompson,
Jessica Hale,
Paul Darden |
source
pdf |
7 |
| SGF |
2013 |
GEN_ETA2: A SAS Macro for Computing the Generalized Eta-Squared Effect Size Associated with Analysis of Variance Models |
Anh P. Kellermann,
Jeanine L. Romano,
Jeffrey D. Kromrey,
Patrice Rasmussen,
Patricia Rodríguez de Gil,
Thanh Pham,
Yi-Hsin Chen |
source
pdf |
10 |
| SGF |
2013 |
High Performance Statistical Modeling |
Bob Rodriguez,
Robert A. Cohen |
source |
19 |
| SGF |
2013 |
Models for Ordinal Response Data |
Robin High |
source |
16 |
| SGF |
2013 |
Recovering SAS User Group Proceedings for the SAS Community |
Kirk Paul Lafler,
Lex Jansen,
Richard W. La Valley |
source
pdf |
9 |
| NESUG |
2012 |
Introducing the FMM Procedure for Finite Mixture Models |
Maura E. Stokes |
|
22 |
| WUSS |
2012 |
Being Continuously Discrete (or Discretely Continuous): Understanding Models with Continuous and Discrete Predictors and Testing Associated Hypotheses |
David J. Pasta |
source |
19 |
| 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 |
2012 |
Automated forward selection for Generalized Linear Models with Categorical and Numerical Variables using PROC GENMOD |
Manuel Sandoval |
source |
5 |
| SGF |
2012 |
Including the Salesperson Effect in Purchasing Behavior Models Using PROC GLIMMIX |
Philippe Baecke,
Dirk Van den Poel |
source |
11 |
| SGF |
2012 |
Introducing the FMM Procedure for Finite Mixture Models |
David Kessler,
Allen McDowell |
source |
22 |
| SGF |
2012 |
Using SAS to Extend Logistic Regression |
Dachao Liu |
source |
8 |
| SGF |
2012 |
Wallet and Share of Wallet Estimation: A Flexible Methodology |
Shira Witelson |
source |
15 |
| SESUG |
2011 |
Breastfeeding in Developing Countries: A Case Study of Nepalese Children |
Paerwen Paerhate,
George Mason |
source |
4 |
| SESUG |
2011 |
Eyes on the Road: A Methodology for Analyzing Complex Eye-Tracking Data |
Eye Tracking |
source |
11 |
| SESUG |
2011 |
On Deck: SAS/STAT 9.3 |
Maura E. Stokes,
Fang K. Chen |
source |
20 |
| SESUG |
2011 |
RDPLOT: A SAS Macro for Generating Regression Discontinuity Plots |
Jason A. Schoeneberger |
source |
13 |
| SESUG |
2011 |
Smoothing Scaled Score Distributions from a Standardized Test using PROC GENMOD |
Jonathan Steinberg,
Tim Moses |
source |
7 |
| WUSS |
2011 |
An Introduction to the Analysis of Rare Events |
Nathaniel Derby |
source |
19 |
| WUSS |
2011 |
Beyond Breslow-Day: Homogeneity Across R x C Tables |
Ginny Lai |
source |
7 |
| WUSS |
2011 |
Estimating Disease Prevalence from Clinical Data Using Capture-Recapture |
Carol Conell |
source |
10 |
| WUSS |
2011 |
On Deck: SAS/STAT 9.3 |
Maura E. Stokes |
source |
20 |
| WUSS |
2011 |
SAS Essentials III: Statistics for Hamsters |
AnnMaria De Mars |
source |
18 |
| WUSS |
2011 |
Up To Speed With Categorical Data Analysis |
Maura E. Stokes |
source |
25 |
| WUSS |
2011 |
What's happening if there is "B" in the general linear modeling output? |
Jason Shilong Kuang |
source |
5 |
| WUSS |
2011 |
Why Dummy Variable Makes You SMART, and How to Do it SEXY |
Brian Sun |
source |
12 |
| PHUSE EU |
2011 |
Modifying Results of proc glm with proc template |
Catalina Mejia Herrera,
Volker Harm |
source
poster source |
7 |
| MWSUG |
2011 |
An Introduction to the Analysis of Rare Events |
Nathaniel Derby |
|
19 |
| MWSUG |
2011 |
On Deck: SAS/STAT 9.3 |
Maura E. Stokes,
Fang K. Chen,
Ying So |
|
20 |
| MWSUG |
2011 |
PROC NLMIXED for Basic Non-Linear Regression |
Keith Dunnigan |
|
12 |
| MWSUG |
2011 |
Using SAS to Extend Logistic Regression |
Dachao Liu |
|
8 |
| NESUG |
2011 |
Implementing a Customer Lifetime Value Framework in SAS |
Krishna Mehta |
|
8 |
| NESUG |
2011 |
On Deck: SAS/STAT 9.3 |
Maura E. Stokes |
|
20 |
| PharmaSUG |
2011 |
CONTRAST and ESTIMATE Statements Made Easy: The LSMESTIMATE Statement |
Kathleen Kiernan,
Randy Tobias,
Phil Gibbs,
Jill Tao |
source |
19 |
| PharmaSUG |
2011 |
FAQ: Issues with Efficacy Analysis of Clinical Trial Data Using SAS |
Sandeep Sawant,
Nehan Mohan |
source |
5 |
| PharmaSUG |
2011 |
Using SAS for Modeling and Simulation in Drug Development - A Review and Assessment of Some Available Tools |
Melvin S. Munsaka,
Michael Carniello |
source |
10 |
| SGF |
2011 |
CONTRAST and ESTIMATE Statements Made Easy: The LSMESTIMATE Statement |
Kathleen Kiernan,
Randy Tobias,
Phil Gibbs,
Jill Tao |
source |
19 |
| SGF |
2011 |
Living with Generalized Linear Mixed Models |
Walter W. Stroup |
source |
18 |
| SGF |
2011 |
Logit Models in Practice: B, C, E, G, M, N, O, ... |
Joseph C. Gardiner,
Zhehui Luo |
source |
20 |
| SGF |
2011 |
Modeling Percentage Outcomes: The %Beta_Regression Macro |
Christopher J. Swearingen,
Maria S. Melguizo,
Zoran Bursac |
source |
12 |
| SGF |
2011 |
On Deck: SAS/STAT 9.3 |
Maura E. Stokes,
Robert N. Rodriguez,
Funda Güneş |
source |
20 |
| SGF |
2011 |
Perl Regular Expression in SAS Macro Programming |
Yanwei Zhang |
source |
7 |
| SGF |
2011 |
Quantitative requirements for non-life insurance under Solvency 2 |
Sverre Grevskott |
source |
8 |
| SGF |
2011 |
Race/Ethnic Differences in Carotid Stiffness and Diameter Using PROC GLM |
Matthew S. Markert |
source |
10 |
| SGF |
2011 |
Ratemaking Using SAS Enterprise Miner: An Application Study |
Billie Anderson |
source |
20 |
| SGF |
2011 |
Repeated Measures Analysis of Correlated Data with Multiple Responses Using SAS |
Anbuchelvi Jeyabslasingham,
Anpalaki J. Ragavan |
source |
10 |
| SGF |
2011 |
Those Confounded Interactions: Building and Interpreting a Model with Many Potential Confounders and Interactions |
David J. Pasta |
source |
13 |
| SGF |
2011 |
To Hash or Not To Hash! That Is the Question!! When it Comes to SQL!!! |
Mustaq Ahmad |
source |
12 |
| SGF |
2011 |
Up To Speed With Categorical Data Analysis |
Gary G. Koch,
Maura E. Stokes |
source |
25 |
| SGF |
2011 |
Using PROC LOGISTIC to Estimate the Rasch Model |
Tianshu Pan,
Yumin Chen |
source |
7 |
| SGF |
2011 |
Using SAS Procedures FREQ, GENMOD, LOGISTIC, and PHREG to Estimate Adjusted Relative Risks: A Case Study |
Jiming Fang |
source |
11 |
| SGF |
2011 |
Visualizing Marginal Effects from Interactions in Generalized Linear Models |
Xiao Chen,
Brigid Wilson |
source |
7 |
| NESUG |
2010 |
A SAS Application to Identify and Evaluate Outliers |
Richard Hendra,
Paulette W. Staum |
|
16 |
| NESUG |
2010 |
An Animated Guide: An introduction to Poisson Regression |
Russell M. Lavery |
|
17 |
| NESUG |
2010 |
The Next Generation: SAS/STAT 9.22 |
Maura E. Stokes,
Robert N. Rodriguez,
Robert Cohen |
|
20 |
| NESUG |
2010 |
Wallet and Share of Wallet Estimation: A Flexible Methodology |
Shira Guil Witelson |
|
15 |
| WUSS |
2010 |
An Introduction to Statistical Tests for the SAS Programmer |
Sara Beck |
source |
10 |
| WUSS |
2010 |
Answering Your Research Questions with Descriptive Statistics |
Diana D. Suhr |
source |
7 |
| WUSS |
2010 |
Answering Your Research Questions with Inferential Statistics |
Diana D. Suhr |
source |
10 |
| WUSS |
2010 |
Planned Contrasts and Post Hoc Tests in MANOVA Made Easy |
Chii-Dean Joey Lin |
source |
8 |
| WUSS |
2010 |
The Next Generation: SAS/STAT 9.22 |
Robert N. Rodriguez |
source |
20 |
| WUSS |
2010 |
Those Confounded Interactions: Building and Interpreting a Model with Many Potential Confounders and Interactions |
David J. Pasta |
source |
9 |
| PHUSE EU |
2010 |
Useful Tips for Analysis of Variance (ANOVA) in Multicentre, Placebo Controlled Clinical Trials |
Joanna Romaniuk |
source
presentation source |
12 |
| MWSUG |
2010 |
Adequacy and Information Values: Two Tools for Ranking Predictors in Generalized Linear Models |
Douglas Thompson |
|
21 |
| 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 |
The Next Generation: SAS/STAT 9.22 |
Maura E. Stokes |
|
20 |
| SESUG |
2010 |
ES_ANOVA: A SAS Macro for Computing Point and Interval Estimates of Effect Sizes Associated with Analysis of Variance Models |
Jeffrey D. Kromrey,
Bethany A. Bell |
source |
10 |
| SESUG |
2010 |
The Next Generation: SAS/STAT 9.22 |
Maura E. Stokes,
Bob Rodriguez,
Robert A. Cohen |
source |
20 |
| PharmaSUG |
2010 |
An Overview of the CLASS, CONTRAST, and HAZARDRATIO Statements in the SAS 9.2 PHREG Procedure |
Paul T. Savarese,
Michael J. Patetta |
|
23 |
| PharmaSUG |
2010 |
Linear Mixed Models in Clinical Trials using PROC MIXED |
Danyang Bing,
Xiaomin He |
|
12 |
| PharmaSUG |
2010 |
SAS Programmer's check list-Quick checks to be done before the statistical reports go off the SAS Programmer's table |
Thomas T. Joseph |
|
7 |
| PharmaSUG |
2010 |
Using SAS to Compute Partial Correlation |
Jianxin Lin,
Aiming Yang,
Arvind Shah |
|
5 |
| SGF |
2010 |
An Analytical Approach to Determining Customer Value in the Property and Casualty Insurance Industry |
Roosevelt Mosley |
source |
20 |
| SGF |
2010 |
An Overview of the CLASS, CONTRAST, and HAZARDRATIO Statements in the SAS 9.2 PHREG Procedure |
Paul T. Savarese,
Michael J. Patetta |
source |
23 |
| 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 |
Introducing PROC PLM and Postfitting Analyses in Very General Linear Models |
Randy Tobias,
Weijie Cai |
source |
18 |
| SGF |
2010 |
Practicalities of Using ESTIMATE and CONTRAST Statements |
David J. Pasta |
source |
20 |
| SGF |
2010 |
SAS 9.2 Business Analytics Framework and IBM PowerVM Virtualization Deployment Scenarios |
Darrell Barton,
Frank Battaglia,
Alfredo Mendoza |
source |
12 |
| SGF |
2010 |
The Next Generation: SAS/STAT 9.22 |
Maura E. Stokes,
Robert N. Rodriguez |
source |
20 |
| 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 |
| PHUSE EU |
2009 |
Analysis of a 3-period 2-treatment pharmacokinetic study to assess scaled average bioequivalence |
Jochen Müller-Cohrs |
source |
11 |
| PNWSUG |
2009 |
Building Multiple Linear Regression Models - Food for Thought |
Colleen E. McGahan,
Mei Chong |
|
11 |
| PNWSUG |
2009 |
The 7 Habits of Highly Effective SAS-ers |
David L. Cassell |
|
17 |
| PNWSUG |
2009 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
|
11 |
| NESUG |
2009 |
Using Macros to Build a Robust, Data Driven Proc GLM |
Ginger Lewis,
Frank J. Tedesco |
|
9 |
| WUSS |
2009 |
Automating the Process of Scoring a Generalized Linear Model Fitted using PROC GENMOD |
Prakash Gurumurthy |
source |
9 |
| WUSS |
2009 |
Using SAS for Nonparametric Statistics |
Gerry Hobbs |
source |
7 |
| PharmaSUG |
2009 |
Image is Almost Everything: Displaying Statistics Via ODS |
R. Scott Leslie |
|
8 |
| 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 |
Comparison of Features and Applications of Four Linear Models Procedures |
Larry W. Douglass |
source |
19 |
| SGF |
2009 |
Image is Almost Everything: Displaying Statistics Via ODS |
R. Scott Leslie |
source |
8 |
| SGF |
2009 |
Using GEE to Model Student's Satisfaction: A SAS Macro Approach |
Teck Kiang Tan,
Trivina Kang,
David Hogan |
source |
12 |
| WUSS |
2008 |
Image is Almost Everything: Displaying Statistics Via ODS |
R. Scott Leslie |
source |
5 |
| WUSS |
2008 |
Using Propensity Scores To Adjust For Treatment Selection Bias |
R. Scott Leslie |
source |
7 |
| PHUSE EU |
2008 |
An Introduction to ODS Statistical Graphics |
Ian Sedgwick |
source |
15 |
| PHUSE EU |
2008 |
Delivering Statistics - a Workflow Supported by the SAS Stored Processes |
Volker Harm |
source |
8 |
| 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 |
| PNWSUG |
2008 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
|
11 |
| NESUG |
2008 |
Fitting Generalized Additive Models with the GAM Procedure in SAS 9.2 |
Weijie Cai |
|
14 |
| NESUG |
2008 |
Understanding Why Physicians Choose A Certain Drug When Treating A Patient - What Product Attributes Matter Most |
Marc States |
|
5 |
| PharmaSUG |
2008 |
Approximate Simultaneous Nonparametric Confidence Intervals for All Pair-Wise Comparisons and Comparisons with a Designated (Control) Group in a One-Way Layout Using the SAS System |
Paul Juneau,
Aditya Sikka,
Jiawei Qiao,
Michelle Gayari |
|
19 |
| PharmaSUG |
2008 |
Automated SAS Macro for Adverse Event Logistic Regression Analysis |
Suhas R. Sanjee |
|
8 |
| PharmaSUG |
2008 |
Sample Size Estimation for Trials of Recurrent Events |
Kuolung Hu |
|
8 |
| PharmaSUG |
2008 |
TPHREG and GLMSELECT: Using the CLASS statement in SAS 9.1 |
Laura E. Archer |
|
11 |
| PharmaSUG |
2008 |
Using ESTIMATE and CONTRAST Statements for Customized Hypothesis Tests |
Hanyu Chen |
|
8 |
| SGF |
2008 |
Adventures in ODS: Producing Customized Reports Using Output from Multiple SAS Procedures |
Stuart D. Long,
Jeffrey M. Abolafia,
Lawrence Park |
source |
23 |
| SGF |
2008 |
Fitting Generalized Additive Models with the GAM Procedure in SAS 9.2 |
Weijie Cai |
source |
14 |
| SGF |
2008 |
How to Use SAS to Fit Multiple Logistic Regression Models |
Anpalaki J. Ragavan |
source |
13 |
| SGF |
2008 |
ODS and Output Data Sets: What You Need to Know |
Myra A. Oltsik |
source |
13 |
| SGF |
2008 |
On Predicting Log-Transformed Linear Models with Heteroscedasticity |
Siwei Jia |
source |
6 |
| SGF |
2008 |
PROC MIXED: Underlying Ideas with Examples |
David A. Dickey |
source |
18 |
| SGF |
2008 |
Using PROC GENMOD to find a fair house insurance rate for the Norwegian market |
Sverre Grevskott,
Sten Sture |
source |
9 |
| 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 |
Butting Heads on Matched Cohort Analysis Using SAS Software |
Melvin T. Alexander |
|
12 |
| NESUG |
2007 |
Common Pitfalls in SAS Statistical Analysis Macros in a Mass Production Environment |
Huei-Ling Chen,
Aiming Yang |
|
9 |
| NESUG |
2007 |
Offset Techniques in Predictive Modeling for Insurance |
Matthew J. Flynn,
Jun Yan |
|
9 |
| NESUG |
2007 |
Using Macro and ODS to Overcome Limitations of SAS Procedures |
Wei (Lisa) Lin,
Jing Su |
|
7 |
| NESUG |
2007 |
Using PROC GENMOD to Model Adverse Event Counts in a Healthcare Setting |
John Ulicny,
Thomas Klumpp |
|
13 |
| SESUG |
2007 |
PROC MIXED: Underlying Ideas with Examples |
David A. Dickey |
source |
19 |
| WUSS |
2007 |
New SAS/GRAPH Procedures for Creating Statistical Graphics |
Cleester D. Heath |
source |
16 |
| WUSS |
2007 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
source |
11 |
| PHUSE EU |
2007 |
Application of the ARRAY statement to create ESTIMATE and CONTRAST statements in statistical PROCEDURES: a case study |
Roel Straetemans |
source |
10 |
| PNWSUG |
2007 |
An Introduction to Statistical Power Calculations for Linear Models with SAS 9.1 |
Robin High |
|
17 |
| PharmaSUG |
2007 |
Basic Defensive Programming Techniques |
Baoxian Lan,
Daniel Tsui |
|
11 |
| SGF |
2007 |
A SAS Macro for Automating the Change-In-Estimate Strategy for Assessing Confounding |
Julius Ta,
Myduc L. Atashili |
source |
10 |
| SGF |
2007 |
Critical Success Factors for Rate Making with SAS Enterprise Miner |
Hrushikesh Khopkar,
Jay King |
source |
17 |
| SGF |
2007 |
Effect Modification Investigation Using SAS - A Model-Building Exercise |
Vanessa Bundy,
Paule Barbeau,
Maribeth H. Johnson |
source |
11 |
| SGF |
2007 |
Growing Up Fast: SAS 9.2 Enhancements to the GLIMMIX Procedure |
Oliver Schabenberger |
source |
20 |
| SGF |
2007 |
Improving Credit Scoring by Generalized Additive Model |
Wensui Cela,
Jimmy Liu |
source |
9 |
| SGF |
2007 |
Introducing a SAS Macro for Doubly Robust Estimation |
Michele Westreich,
Daniel Davidian,
Marie Wiesen,
Chris Jonsson Funk |
source |
8 |
| SGF |
2007 |
New SAS/GRAPH Procedures for Creating Statistical Graphics in Data Analysis |
Dan Heath |
source |
16 |
| SGF |
2007 |
Using SAS PROC NLMIXED for Robust Regression |
Steven A. Chen,
Lingyun Gilbert |
source |
9 |
| PNWSUG |
2006 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
|
11 |
| PNWSUG |
2006 |
You Can't Stop Statistics: SAS/STAT Software Keeps Rolling Along |
Maura E. Stokes,
Robert N. Rodriguez |
|
32 |
| MWSUG |
2006 |
Dependent Scores within KAI and MBTI Instruments |
Marie Risov |
|
9 |
| MWSUG |
2006 |
Time to Failure in UPS Data Collector and UPS Thermal Printer |
Rebecca E Dennison |
|
10 |
| SCSUG |
2006 |
Flattening Dependent Tables from Relational Databases for Use in SAS Processing |
David Welch |
|
34 |
| SCSUG |
2006 |
Some SAS Techniques Used in Insurance Business |
Wei Yu |
|
4 |
| PHUSE EU |
2006 |
Adding (p-) Value to Tables -- a Programmer''s Perspective |
Kathryn Wright |
source |
10 |
| 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 |
Effect Modification Investigation Using SAS - A Model Building Exercise |
Vanessa Bundy,
Paule Barbeau,
Maribeth H. Johnson |
source |
10 |
| SESUG |
2006 |
Predictive Modeling to Analyze Hospital Charges Versus Reimbursements |
Chakib Battioui |
source |
12 |
| SESUG |
2006 |
ST09 Application of the Generalized Linear Model to the Prediction of Lung Cancer Survival |
Andrew Karem |
source |
18 |
| WUSS |
2006 |
Have It Both Ways: Macros that Produce Publication-Quality Tables and Stand-alone Code |
Linda Collins,
Lisa Kaye Brooks,
Michael Rea,
Alan Hopkins |
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 |
| WUSS |
2006 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
source |
11 |
| NESUG |
2006 |
Statistical analysis of clustered data using SAS |
Gui-Shuang Ying,
Chengcheng Liu |
|
13 |
| NESUG |
2006 |
Using PROC GENMOD to Model Adverse Event Counts in a Healthcare Setting |
John Ulicny,
Thomas Klumpp |
|
13 |
| NESUG |
2006 |
You Can't Stop Statistics |
Maura E. Stokes,
Robert N. Rodriguez |
|
32 |
| 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 |
Application of Experimental Design in Consumer Direct-Mail Solicitations |
Jonas V. Bilenas |
source |
9 |
| SUGI |
2006 |
Assessing Within- and Between-Individual Effects Using Correlated Data from an HIV Clinical Trial |
Marla J. Husnik,
Grant Colfax,
Eugene Huang |
source |
10 |
| SUGI |
2006 |
Combining the Power of ODS, Data Set Concatenation, and DDE to Output Customized Statistical Results from SAS to Microsoft Excel |
Navneet K. Dhand,
Jenny-Ann Toribio |
source |
10 |
| SUGI |
2006 |
Fixed Effects Regression Methods in SAS |
Paul D. Allison |
source |
20 |
| SUGI |
2006 |
The "Handy, Dandy, Quick-n-Dirty" Contrast Generator - A SAS/IML Macro to Support the GLM, MIXED, and GENMOD Procedures |
Paul A. Thompson |
source |
10 |
| SUGI |
2006 |
Using SAS to Investigate Effect Modification |
Peter H. Van Ness,
Heather G. Allore |
source |
10 |
| SUGI |
2006 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
source |
11 |
| SUGI |
2006 |
You Can't Stop Statistics |
Maura E. Stokes,
Robert N. Rodriguez |
source |
32 |
| PNWSUG |
2005 |
Assessing Within- and Between-Subject Effects with Correlated Clinical Data |
Marla J. Husnik,
Eugene Huang,
Grant Colfax |
|
10 |
| 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 |
Medicare Cost Estimation For Heart Disease |
Fariba Nowrouzi |
|
11 |
| MWSUG |
2005 |
Relationship Between Total Charges And Reimbursements In Outpatient Visits Using SAS GLMMIX |
Chakib Battioui |
|
6 |
| WUSS |
2005 |
A Comparison of Two Procedures to Fit Multi-Level Data: PROC GLM versus PROC MIXED |
MaryAnne DePesquo Hope |
source |
7 |
| NESUG |
2005 |
Introduction to Experimental Design using SAS |
Jonas V. Bilenas |
|
13 |
| PharmaSUG |
2005 |
Assessing Within- and Between-Subject Effects with Correlated Clinical Data |
Marla J. Husnik,
Eugene Huang,
Grant Colfax |
|
10 |
| PharmaSUG |
2005 |
Using Procedure-Based ODS Data Components in Statistical Reporting |
Vincent J. Faber |
|
10 |
| 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 |
Parameterizing Models to Test the Hypotheses You Want: Coding Indicator Variables and Modified Continuous Variables |
David J. Pasta |
source |
20 |
| SUGI |
2005 |
Using Procedure-Based ODS Data Components in Statistical Reporting |
Vincent J. Faber |
source |
10 |
| SUGI |
2005 |
Using the Proportional Odds Model for Health-Related Outcomes: Why, When, and How with Various SAS Procedures |
Marc Gameroff |
source |
8 |
| NESUG |
2004 |
Using PROC GENMOD for Loglinear Smoothing |
Tim Moses,
Alina A. von Davier |
|
17 |
| SESUG |
2004 |
A Simulation Study to Evaluate ANOVA and GEE for Comparing Correlated Proportions with Missing Values |
Mark S. Litaker |
source |
6 |
| SESUG |
2004 |
Crossover Designs and Proc Mixed In SAS |
Hossein N. Yarandi |
source |
11 |
| WUSS |
2004 |
Cut Out The Cut And Paste: SAS Macros For Presenting Statistical Output |
Myungshin Oh,
Mel Widawski |
source |
9 |
| WUSS |
2004 |
It's a P-value, All Right - but is it the Right One? |
Linda Collins |
source |
6 |
| WUSS |
2004 |
Parameterizing Models to Test the Hypotheses You Want: Coding Indicator Variables and Modified Continuous Variables |
David J. Pasta |
source |
12 |
| 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 |
| PharmaSUG |
2004 |
"Dualing" Arrays: Reducing DATA Step Passes with Array Look-Ups |
Nancy Brucken,
Lisa R. Reeves |
|
7 |
| PharmaSUG |
2004 |
2D-gel Proteomics in Biomarker Discovery |
Mark Carpenter,
Craig Rowell,
Heath McCorkle,
Coral Lamartiniere |
|
7 |
| PharmaSUG |
2004 |
SAS Application in 2x2 Crossover Clinical Trial |
Wuwei Wayne Feng |
|
10 |
| SUGI |
2004 |
Assessing Model Fit and Finding a Fit Model |
Margaret L. Bogle,
Rajiv Goel,
Robert M. Hamer,
Chan-Hee Jo,
Eric Siegel,
Pippa M. Simpson |
source |
17 |
| 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 |
Head of the CLASS: Impress Your Colleagues with a Superior Understanding of the CLASS Statement in PROC LOGISTIC |
Michelle L. Pritchard,
David J. Pasta |
source |
9 |
| SUGI |
2004 |
Repeated Measures Modeling with PROC MIXED |
E. Barry Moser |
source |
20 |
| WUSS |
2003 |
Advanced Analytics with Enterprise Guide |
Catherine Truxillo,
Stephen McDaniel |
source |
9 |
| WUSS |
2003 |
Answering Your Questions with Statistics |
Diana D. Suhr |
source |
6 |
| WUSS |
2003 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
6 |
| WUSS |
2003 |
Presenting Logistic Regression Models to Non-Statisticians: Adjusted Probabilities and Adjusted Risk Ratios |
David J. Pasta,
Miriam G. Cisternas |
source |
4 |
| WUSS |
2003 |
Using SAS IN Educational Research |
Leping Liu |
source |
6 |
| SESUG |
2003 |
An Algorithm for Screening of Genes and Clusters from Microarray Experiments |
James E. Blum |
source |
4 |
| 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 |
| SESUG |
2003 |
How to Get What You Need - Part 1 |
Christopher Toppe,
Independent Sector |
source |
3 |
| NESUG |
2003 |
SAS Backwards: Helping SAS and SPSS Students Speak the Same Language |
Joseph J. Guido,
Adam B. Rains |
|
14 |
| PharmaSUG |
2003 |
Performance Tuning of Java-based Application Development for Clinical Pharmacogenomics Associations |
Zongwei Shen,
Richard Judson,
Robert Tracy,
Theodore Kalbfleisch |
|
4 |
| SUGI |
2003 |
A SAS/IML Program for Mapping QTL in Line Crosses |
Chenwu Xu,
Shizhong Xu |
source |
6 |
| SUGI |
2003 |
An Introduction to the Analysis of Mixed Models |
Dallas E. Johnson |
source |
4 |
| SUGI |
2003 |
Estimating Standard Errors for CLASS Variables in Generalized Linear Models Using PROC IML |
David J. Pasta,
Miriam G. Cisternas |
source |
6 |
| SUGI |
2003 |
Estimation of Prevalence Ratios When PROC GENMOD Does Not Converge |
James A. Deddens,
Martin R. Petersen,
Xiudong Lei |
source |
6 |
| SUGI |
2003 |
Fast and Easy Ways to Advance on Your Beginning SAS Coworkers! |
Richard M. Mitchell |
source |
|
| SUGI |
2003 |
SAS Performance Optimizations on Intel Architecture |
Patric J. Fay,
Tracy W. Carvar |
source |
6 |
| MWSUG |
2002 |
A Macro to Assess the Key Drivers of Overall Product Acceptance using SAS System |
George J. Hurley,
David Hengehold |
|
7 |
| MWSUG |
2002 |
Random Coefficient Model for Hazard Analysis Critical Control Points (HACCP) A Pilot Study |
Xinpeng (Tom) Wang,
Yating Sun,
Julie Caswell |
|
3 |
| SCSUG |
2002 |
Statistical Pattere Recognition Using Enterprise Miner and Self-Organizing Maps |
Keith A. Jones |
|
8 |
| NESUG |
2002 |
Some Analysis Methods for Behavioral Toxicology Data |
Richard R. Allen |
|
8 |
| NESUG |
2002 |
Temporal Optimization: Convergence of Time Series and Linear Modeling for Selecting Portfolio Strategies |
Haftan M. Eckholdt |
|
3 |
| SESUG |
2002 |
Integrating SAS Analytics with Microsoft-based Desktop Applications |
Sam Yamamura |
source |
6 |
| SESUG |
2002 |
Using ODS to Capture Statistics from PROC GLM |
Frank L. Roediger |
source |
6 |
| WUSS |
2002 |
A Macro for Constructing Confidence Intervals of Simple Difference in Dichotomous Data with Repeated Measurements |
Chii-Dean Joey Lin,
Kung-Jong Lui |
source |
4 |
| WUSS |
2002 |
A Randomization-Test Wrapper for SAS PROCs |
Christopher F. Ake,
David L. Cassell |
source |
4 |
| WUSS |
2002 |
Multiple Linear Regression Analysis of Total Mercury Levels in Blood and Urine Samples |
Miki Yamauchi,
George C. J. Fernandez,
Stanley Omaye |
source |
6 |
| SEUGI |
2002 |
SAS Environment-Based Data Analysis [presentation] |
Marin |
source |
27 |
| SEUGI |
2002 |
SAS Meets Big Iron: High Performance Computing in SAS Analytic Procedures [presentation] |
Robert A. Cohen |
source |
61 |
| PharmaSUG |
2002 |
Bulletproofing and Knowledge Encapsulation in Statistical Macros |
John K. Troxell |
|
4 |
| PharmaSUG |
2002 |
Java Application Development for Analyzing Clinical Pharmacogenomics Data |
Zongwei Shen,
Robert Tracy,
Richard Judson |
|
4 |
| SUGI |
2002 |
A Randomization-Test Wrapper for SAS PROCs |
David L. Cassell |
source |
4 |
| SUGI |
2002 |
Robust Regression and Outlier Detection with the ROBUSTREG Procedure |
Colin Chen |
source |
13 |
| MWSUG |
2001 |
Using The SAS Mixed Procedure to Analyze the Repeated Measures Data |
Hongsen Zhou |
|
9 |
| NESUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe |
|
13 |
| VIEWS |
2001 |
The Version 8 Applied Statistician |
David Shannon |
|
15 |
| WUSS |
2001 |
PROC GLM or PROC CALIS? |
Diana D. Suhr |
source |
5 |
| WUSS |
2001 |
SAS Direct (Kronecker) Product Techniques Applied to Design Matrices in a Two-Way Cross Classification Balanced Model Example |
Steven Hoff |
source |
5 |
| WUSS |
2001 |
Using SAS Functions for Power Analysis and Sample Size Estimation |
Mel Widawski |
source |
5 |
| WUSS |
2001 |
Using SAS to Assess Students' Learning in Instructional Technology Courses |
Leping Liu |
source |
6 |
| SESUG |
2001 |
GETTING STARTED WITH PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| SESUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe |
source |
13 |
| SCSUG |
2001 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| SCSUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe,
Ralph G. O'Brien |
|
13 |
| PharmaSUG |
2001 |
Fitting Generalized Additive Models with the GAM Procedure |
Dong Xiang |
|
8 |
| PharmaSUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe |
|
14 |
| PharmaSUG |
2001 |
The Basics of ODS and Templates for Data Analysis |
Sandy McNeill |
|
20 |
| SUGI |
2001 |
A Macro Program for ANOVA or ANCOVA, Using PROC GLM or PROC MIXED |
Zaizai Lu,
David Shen |
source |
4 |
| SUGI |
2001 |
Analysis of Count Data Using SAS |
Alexander Pedan |
source |
6 |
| SUGI |
2001 |
Clinical Trial System - A Front End SAS/AF Application |
Quan Ren |
source |
7 |
| SUGI |
2001 |
Fitting Generalized Additive Models with the GAM Procedure |
Dong Xiang |
source |
8 |
| SUGI |
2001 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| SUGI |
2001 |
Model Fitting in PROC GENMOD |
Jean G. Orelien |
source |
6 |
| SUGI |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe,
Ralph G. O'Brien |
source |
13 |
| SUGI |
2001 |
Probabilistic Hindsight: A SAS Macro for Retrospective Statistical Power Analysis |
Kristine Y. Hogarty,
Jeffrey D. Kromrey |
source |
10 |
| SUGI |
2001 |
PROC GLM or PROC CALIS? |
Diana D. Suhr |
source |
3 |
| SUGI |
2001 |
Using SAS to Minimize Exposure and Maximize Compliance |
Stephen B. Sloan |
source |
3 |
| SCSUG |
2000 |
Repeated-Measures Analysis and PROC MIXED |
Shana Smith,
Torsten B. Neilands |
|
17 |
| SESUG |
2000 |
Computation of pvalues for Multiple Comparisons with a Control in the SAS System |
Jean G. Orelien |
source |
9 |
| NESUG |
2000 |
Confirmatory and Exploratory Data Analyses Using PROC GENMOD: Factors Associated with Red Light Running Crashes |
Li wan Chen |
|
7 |
| NESUG |
2000 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| NESUG |
2000 |
Ordinal Outcomes with the Continuation Ratio Model |
Melissa J. McGowan |
|
4 |
| NESUG |
2000 |
Programming Data Displays Using SAS Software: Meeting Regulatory Requirements for Quality |
Michael A. Walega |
|
11 |
| WUSS |
2000 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| WUSS |
2000 |
Monkey Games: Analysis of Some Behavioral Toxicology Data |
Richard R. Allen |
source |
7 |
| WUSS |
2000 |
SAS STAT applications in Econometrics |
Mathura Thillainathan,
George C. J. Fernandez |
source |
10 |
| PharmaSUG |
2000 |
An Alternative to the Odds Ratio: A Method for Comparing Adjusted Treatment Group Effects on a Dichotomous Outcome |
P. Chris Holland |
|
5 |
| SUGI |
2000 |
An Application for the Analysis and Visualization of Disease Incidence Data |
Paul Nicholson,
Deborah Allon,
Estelle A. Gilman |
source |
9 |
| SUGI |
2000 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| 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 |
Product Development and Applied Research: A Formal Approach Using SAS and JMP Software |
John A. Wass |
source |
5 |
| SUGI |
2000 |
Publishing Statistical Analyses on the Web Using Version 7 of the SAS System |
David J. Meade,
Scott Lacey |
source |
6 |
| SUGI |
2000 |
Using Propensity Scores to Adjust for Group Differences: Examples Comparing Alternative Surgical Methods |
David J. Pasta |
source |
7 |
| SUGI |
2000 |
Why We Need an R-Square Measure of Fit (and Not Only One) In PROC LOGISTIC and PROC GENMOD |
Ernest S. Shtatland,
Sara L. Moore,
Mary B. Barton |
source |
6 |
| SESUG |
1999 |
Analysis of Longitudinal Data: Comparison between PROC GLM and PROC MIXED |
Maribeth H. Johnson |
source |
6 |
| SESUG |
1999 |
Forecasting Army Officer Attrition with Logistic Regression Using The SAS System |
Douglas L. McAllaster |
source |
10 |
| NESUG |
1999 |
The missing link: PROC GENMOD |
Margaret Ann Goetz |
|
3 |
| 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 Logistic Regression to Predict Customer Retention |
Andrew H. Karp |
|
5 |
| SEUGI |
1999 |
A user friendly interface for simultaneuos non-linear regression on sets of metallurgical deformation curves [presentation] |
Ronald Mulder |
source |
20 |
| SEUGI |
1999 |
An application for the analysis and visualisation of disease incidence data |
Deborah Allon,
Estelle Gilman,
Paul Nicholson |
source |
9 |
| SUGI |
1999 |
Advances in Multiple Comparisons and Multiple T-Tests Using the SAS System |
Peter H. Westfall,
Randall D. Tobias |
source |
9 |
| SUGI |
1999 |
Cross Crossover Studies Off Your List |
Pippa M. Simpson,
Robert M. Hamer,
Shelly Y. Lensing |
source |
7 |
| 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 |
Modeling Event Count Data with PROC GENMOD and the SAS System |
Matthew J. Flynn |
source |
6 |
| SUGI |
1999 |
Simplification on Learning Model by Using PROC GENMOD |
Kuolung Hu,
David Mckinzie,
Karen Nowak |
source |
6 |
| SUGI |
1999 |
Twisty Turny Passages, All Alike ODS Templates Exposed |
Christopher R. Olinger |
source |
18 |
| MWSUG |
1998 |
If There Is A Will, There Is A Way: Getting Around Defaults of PROC LOGISTIC |
Chao-Ying Joanne Peng,
Tak-Shing Harry So |
|
10 |
| MWSUG |
1998 |
Using PROC MIXED To Analyze a Repeated Measures Design |
Keith Dunnigan |
|
6 |
| MWSUG |
1998 |
Using SAS PROC GENMOD for Log-linear Association Models of Ordinal Data |
James R. Hershey |
|
4 |
| WUSS |
1998 |
Controlling for Group Differences and Counting Rare Events: Propensity Scores with PROC CATMOD and Poisson Regression with PROC GENMOD |
Stefanie J. Silva,
Lori Potter |
source |
5 |
| 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 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| WUSS |
1998 |
New SAS Procedures for Analysis of Sample Survey Data |
Anthony B. An,
Donna L. Watts |
source |
11 |
| WUSS |
1998 |
The Elements of SAS Programming Style |
Frank C. DiIorio |
source |
5 |
| NESUG |
1998 |
Don't Panic When Your Favorite SAS PROC is Not Forwarded to the Next Version Release |
Scott LaPorte |
|
3 |
| NESUG |
1998 |
Using Logistic Regression to Predict Customer Retention |
Andrew H. Karp |
|
5 |
| SESUG |
1998 |
A SAS Macro Program to Perform Permutation Testing for Group*Time Interaction in an Unbalanced Repeated-Measures Analysis of Variance |
Mark S. Litaker,
Bernard Gutin |
|
5 |
| SESUG |
1998 |
Long verses Wide - A Different Way of Looking at SAS Coding |
Richard Goldsmith |
|
6 |
| SESUG |
1998 |
Multiple Comparison Procedures with SAS |
Chung-Kuei Chang |
|
9 |
| SESUG |
1998 |
Software for GEE: PROC GENMOD and SUDAAN |
Babubhai V. Shah |
|
5 |
| PNWSUG |
1998 |
Stepwise Anything: Reading in Regression Procedure Output for Further Testing |
Ted Clay,
Linda Remy |
|
10 |
| SEUGI |
1998 |
Complementary use of log-linear modelling and correspondence analysis in SAS software |
Jon Paul Laka,
Izaskun Astondoa |
source |
18 |
| SEUGI |
1998 |
GLM and MIXED procedures to treat longitudinal data |
Sandrine Laguerre |
source |
9 |
| PharmaSUG |
1998 |
Using SAS Arrays to Estimate Regression Parameters |
Tesfaye Liranso,
Hoechst Marion Roussel |
|
5 |
| SUGI |
1998 |
A Macro for Converting Mean Separation Output to Letter Groupings in PROC MIXED |
Arnold M. Saxton |
source |
4 |
| 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 |
CHEKOU T : A SAS Program to Screen for Outliers |
James Handsfield |
source |
3 |
| SUGI |
1998 |
Finding the Solution to Data Mining: A Map of the Features and Components of SAS Enterprise Miner Software Table of Contents |
John C. Brocklebank,
Mark Brown |
source |
24 |
| 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 |
SAS System Tools for Design and Analysis of Experiments |
Donna O. Fulenwider,
Randall D. Tobias,
Robert N. Rodriguez |
source |
11 |
| SUGI |
1998 |
Using a SAS Macro to Create Unique Statistical Output |
Sean W. Mulvenon,
M. Austin |
source |
6 |
| SCSUG |
1997 |
Statistical Enhancements in Release 6.12 of the SAS System |
Maura E. Stokes |
|
7 |
| WUSS |
1997 |
Analysis of Designed Experiments Using SAS PROC GENMOD |
Douglas C. Montgomery,
Connie M. Borror,
Sharon L. Lewis |
source |
6 |
| WUSS |
1997 |
Testing Homogeneity of Variance |
Shuqiang Zhang |
source |
4 |
| WUSS |
1997 |
The Sums of Squares Are All the Same - How Can the LSMEANS Be So Different? |
Lori Potter,
David J. Pasta |
source |
6 |
| WUSS |
1997 |
You Want Me to Put HOW MANY Numbers in this Document? |
Cynthia L. Williamson |
source |
8 |
| NESUG |
1997 |
Estimation of Direct, Period and Carryover Effects in Crossover Studies |
Mitchell Kotler |
|
7 |
| NESUG |
1997 |
Information as a Unifying Measure of Fit in SAS Statistical Modeling Procedures |
Ernest S. Shtatland |
|
7 |
| NESUG |
1997 |
Macro to Determine the Significance of the Main Effects of Two Categorical Factors for the PHREG Procedure |
Robert J. Gallop |
|
9 |
| NESUG |
1997 |
Using Logistic Regression to Test for Interaction in the Presence of Zero Cells |
Lisa Suchower |
|
10 |
| 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 |
Evaluation of Manatee Feeding Preferences from Partial Ranks |
Jay M. Harrison |
|
3 |
| SESUG |
1997 |
One Trainer's Method of Workshop Design |
Teresa Wilson |
|
9 |
| SEUGI |
1997 |
A multi-level logical drill down application based on trend data output from PROC GLM |
Nya Murray |
source |
3 |
| SEUGI |
1997 |
Analysing the incidence of Leukaemia in England and Wales |
David Rowland,
Deborah Allon,
Paul Nicholson,
Richard McNally |
source |
9 |
| SEUGI |
1997 |
Weighted Poisson Analysis à la Goodman using SAS software |
Rian Vogelesang |
source |
14 |
| SUGI |
1997 |
An Experiment Analysis System for Fixed and Random Effects in OverDispersed Binomial Responses in Semiconductor Manufacturing |
Jose G. Ramirez,
Randall S. Collica |
source |
6 |
| 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 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
source |
5 |
| SUGI |
1997 |
Graphical and Analytical Tools for the Analysis of Two-Period Crossover Clinical Trials |
Jeff A. Sloan,
Paul J. Novotny,
Charles L. Loprinzi,
Suresh Nair |
source |
|
| SUGI |
1997 |
Introduction to Building a Linear Regression Model |
Leslie A. Christensen |
source |
7 |
| SUGI |
1997 |
Reports Based on SAS Output: Taking Advantage of PROC PRINTTO, DATA Steps and PROC GPRINT |
Lauren E. Haworth |
source |
9 |
| SUGI |
1997 |
SAS/INSIGHT Software or JMP Software: A Comparison |
Andy Mauromoustakos |
source |
3 |
| SCSUG |
1996 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| SESUG |
1996 |
Discriminant Analysis via Statistical Packages |
Carl J Huberty,
Laureen L. Lowman |
|
11 |
| SESUG |
1996 |
Generalized Linear Models (Logistic Regression), a Comparison of Available Options and Output from the Catmod, Probit, Logistic, and Genmod Procedures |
Margaret A. Connolly |
|
6 |
| SESUG |
1996 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| SESUG |
1996 |
The Elements of SASe Programming Style |
Frank C. Dilorio,
Jean Cocteau |
|
5 |
| 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 |
Macros Developed for Statistical Summary and Tabulation of Clinical Data |
William Sun,
David Lago,
David Handelsman,
Jack Shostak |
|
10 |
| NESUG |
1996 |
The Bisquare Weighted Analysis of Variance: A Technique for Nonnormal Distributions |
Rebecca Regeth,
William Stine |
|
9 |
| MWSUG |
1996 |
A Set of SAS Macros for Producing Statistical Reports |
Greg A. Grandits |
|
10 |
| MWSUG |
1996 |
Using SAS Genmod Procedure to fit Diagonal Class Models to Square Contingency Tables Having Ordered Categories |
H. Bayo Lawal |
|
12 |
| WUSS |
1996 |
Plots With Generalized Confidence Intervals Using SAS/GRAPH |
Linda C. Whitehand,
Bruce E. Mackey |
source |
5 |
| WUSS |
1996 |
Repeated Measures Analysis with the SAS System |
Kathleen Kierman |
source |
10 |
| PNWSUG |
1996 |
Reports Based on SAS Output: Takinf Advantage of PROC PRINTTO, DATA STEPS and PROC GPRINT |
Lauren E. Haworth |
|
6 |
| SEUGI |
1996 |
A SAS-Macro for the Welch t-Test procedure in the many-to-one design |
Carina Ortseifen |
source |
5 |
| SEUGI |
1996 |
A vision of the future for personal lines insurers - Data warehouses, Neural Networks and all that |
Geoff Trahair |
source |
30 |
| SEUGI |
1996 |
Experimental analysis and SAS/EIS - reporting in semiconductor manufacturing |
Randall S. Collica |
source |
29 |
| SEUGI |
1996 |
Mainframe directions |
Werner Bundschuh |
source |
24 |
| SEUGI |
1996 |
Motor and Household Insurance: Pricing to Maximise Profit in a Competitive Market |
Tom Wright |
source |
10 |
| SEUGI |
1996 |
Pricing and reserving in the general insurance industry |
John Hansen,
Christian Larsen |
source |
10 |
| 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 |
Analysis of Unbalanced Mixed Model Data |
Ramon C. Littell |
source |
6 |
| 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 |
Repeated Measures - A Better way? |
Edith Flaster |
source |
10 |
| SUGI |
1996 |
Using SAS/STAT Software for Nonparametric 2-Way Analysis of Variance: A Biomedical Device Process Validation Problem |
Timothy L. Beck,
Sandra Weinert |
source |
6 |
| MWSUG |
1995 |
Discussion of the Comparison of GLM and MIXED Procedures for a Repeated Measures Design: One Within and One Between Subjects Factor |
Michelle Secic |
|
6 |
| NESUG |
1995 |
A Macro That Generates the PROC GLM LSMEANS Table from the LSMEANS Output Data Set |
Michael A. Walega |
|
2 |
| NESUG |
1995 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| NESUG |
1995 |
Power Analysis: Prospective Use of a SAS Macro |
John F. Walsh |
|
3 |
| SESUG |
1995 |
Getting Started with PROC LOGISTIC |
Andrew H. Karp |
|
5 |
| SESUG |
1995 |
Information Visualization Hacros, Annotate and BAS Graph the Basy Way |
Michael Keohan,
E. Hanover |
|
8 |
| SESUG |
1995 |
Intraclass Correlation Reliability Estimation Using the GLM and MIXED Procedures |
Maribeth H. Johnson |
|
5 |
| SESUG |
1995 |
The Elements of SAS Programming Style |
Frank C. Dilorio,
Jean Cocteau |
|
6 |
| SUGI |
1995 |
A Comparative Evaluation of Selected Statistical Software for Computing Various Categorical Analyses |
Nancy McDermott,
Cynthia White |
source |
6 |
| SUGI |
1995 |
A Primer on Poisson Regression using SAS/STAT Software Methods and Interpretation of Results |
Richard McNally |
source |
4 |
| 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 |
Comparing the SAS GLM and MIXED Procedures for Repeated Measures |
Ming Chang,
Russell D. Wolfinger |
source |
11 |
| SUGI |
1995 |
Memory Management Mysteries of the SAS System for PCs |
Julie A. Maddox |
source |
6 |
| SUGI |
1995 |
Modeling Variation in Repeated Measures Data |
Ramon C. Littell |
source |
5 |
| SUGI |
1995 |
Robust Analysis Adds M-uscle to Data Analyses |
E. Charlene Drago,
Tom Filloon |
source |
6 |
| WUSS |
1994 |
A SAS MACRO for the Ricardian Model of International Trade |
Zaki Eusufzai |
source |
17 |
| WUSS |
1994 |
An Effective Method to Construct Coefficients in CONTRAST and ESTIMATE Statements Used in ANOVA |
George C. J. Fernandez |
source |
17 |
| WUSS |
1994 |
Examination of the Importance of Root Hairs in Plant Water-Use Studies by Repeated Measures Analysis |
Carolyn K. Yoder |
source |
4 |
| NESUG |
1994 |
Statistical Methods for Assessing the Safety of Products Evaluated in Human Clinical Trials |
John Sourby |
|
8 |
| MWSUG |
1994 |
Alternative Approaches to Mixed Linear Models |
George W. Pasdirtz |
|
6 |
| MWSUG |
1994 |
Use of Macros in Generating Statistical Comparisons for Bioequivalence Reports |
A. David Mundt |
|
9 |
| 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 |
Automating the Plotting of Significant Effects in Analysis of Variance |
Matthew Grover,
Huixing Tang |
source |
6 |
| SUGI |
1994 |
Combined Estimates of Carryover Differences in Mixed-Model Procedure |
Louis Munyakazi,
Richard L. Hintz,
B. D. Selby |
source |
4 |
| SUGI |
1994 |
Estimating Components of Variance for a Linear Model Having a Mixed Fixed/Random Factor in a Large Data Structure |
Dawn VanLeeuwen,
N. Scott Urquhart |
source |
5 |
| SUGI |
1994 |
Introduction to Repeated Measures |
William G. LeBlanc |
source |
9 |
| SUGI |
1994 |
Log Negative Binomial Regression Using the GENMOD Procedure SAS/STAT Software |
Joseph M. Hilbe |
source |
6 |
| SUGI |
1994 |
Mixed Model Analysis of Data: Transition from GLM to MIXED |
Ramon C. Littell |
source |
8 |
| SUGI |
1994 |
Neural Network Implementation in SAS Software |
Warren S. Sarle |
source |
23 |
| SUGI |
1994 |
Nonlinear Regression Analysis and Nonlinear Simulation Models |
Donald Erdman,
Mark Little |
source |
9 |
| SUGI |
1994 |
Using Fractional Factorial Designs to Improve Product Shelf Life |
Andrew G. Stead,
Susan B. Wilkins,
Karen G. MacDonald |
source |
4 |
| 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 |
A SAS Module to Generate the Contract Statements for GLM Procedure |
Shi-Tao Yeh,
Gayland Ridley |
|
6 |
| SCSUG |
1993 |
Automating the Plotting of Significant Effects in Analysis of Variance |
Huixing Tang,
Matthew Grover |
|
14 |
| MWSUG |
1993 |
An Extraordinary Reporting System for the Pharmaceutical Industry - the Macro Way |
Judy L. Gilbert |
|
5 |
| MWSUG |
1993 |
Building Programs with the SAS Macro Facility |
Philip M. Pochon |
|
6 |
| 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 |
The Analysis of Repeated Measures Designs Using the SAS System |
Alun Bedding |
source |
9 |
| SEUGI |
1993 |
The Closed Test Procedure |
Hans Ulrich Burger |
source |
13 |
| SUGI |
1993 |
An Extraordinary Reporting System for the Pharmaceutical Industry - the Macro Way |
Judy L. Gilbert |
source |
5 |
| SUGI |
1993 |
Analysis-of-Variance Computing: Then and Now, with Reference to UnbalancedData |
Shayle R. Searle |
source |
12 |
| SUGI |
1993 |
Exploratory Data Analysis Using SAS Software |
Greg J. Weier,
Randall D. Tobias |
source |
11 |
| SUGI |
1993 |
Relating Orthogonal Contrasts to Regression Coefficients through Estimable Functions in the GLM Procedure |
Louis Munyakazi,
Roy H. Sorbet,
Richard L. Hintz |
source |
4 |
| SUGI |
1993 |
SAS Software to Fit the Generalized Linear Model |
Gordon Johnston |
source |
8 |
| SUGI |
1993 |
Strategies for Performing Multiple Comparisons on Means |
Jenny Aquino Kendall |
source |
7 |
| SUGI |
1993 |
The SAS System in a Longitudinal Environmental Health Intervention Study with Repeated Monitoring |
WinKey Pan |
source |
4 |
| SUGI |
1993 |
Using SAS Software to Identify Critical Variables in the Manufacturing of Hybrid Microelectronics Assemblies |
Melvin T. Alexander,
Brian Hogan,
Ingrid Jensen Vaughan |
source |
9 |
| SESUG |
1993 |
Repeated Measures Using PROC MIXED Instead of PROC GLM |
James H. Roger,
Michael Kenward |
|
10 |
| SESUG |
1993 |
Using SAS Statistical Procedures in Medical Research |
Joe Cholewczynski |
|
6 |
| SCSUG |
1992 |
Testing the Additivity Assumption in Repeated Measures |
Robert J. Zambarano |
|
11 |
| NESUG |
1992 |
Obtaining P-Values for Clinical Research Efficacy Reports |
Denis Michel |
|
6 |
| MWSUG |
1992 |
Using SAS Macro Facilities to Simplify A Large Multi-Event Statistical Analysis |
Douglas P. DeYoung |
|
6 |
| SEUGI |
1992 |
Effects of Using the NOINT Option in Various Regression Procedures of SAS/STAT Software |
Rainer Muche |
source |
10 |
| SEUGI |
1992 |
Output Delivery System |
Thomas J. R. Emmerich |
source |
8 |
| SEUGI |
1992 |
SAS/INSIGHT Software: Introduction and New Features |
Gerhard Held |
source |
7 |
| SEUGI |
1992 |
Using SAS Macros and PROC IML to Create Special Designs for Use in Generalised Linear Models |
John Hendrickx |
source |
22 |
| SUGI |
1992 |
Essential SAS Software for Engineers |
William D. Kahn,
Diccon R. E. Bancroft |
source |
10 |
| SUGI |
1992 |
Future Directions in Working with Procedure Output |
Christopher R. Olinger,
Robert S. Ray |
source |
8 |
| SUGI |
1992 |
Generating Statistical Tables Meeting NDA Guidelines the Lazy Way |
John Lue |
source |
6 |
| SUGI |
1992 |
Performance Enhancements in SAS Procedures for Small and Large Applications |
Leigh A. Ihnen |
source |
10 |
| SUGI |
1992 |
Pharmacokinetic Statistical Analysis System - A SAS/AF and SAS/FSP Application |
Sharon Passe,
Andrea L. Contino |
source |
6 |
| SUGI |
1992 |
Plot Mean with Standard Error by Using the SAS/STAT GLM Procedure and the SAS/GRAPH GPLOT Procedure |
Eric Yu I. Wang,
Aili Gong |
source |
6 |
| SUGI |
1992 |
POWER: A Simple Macro for Power and Sample Size Calculations |
Kristin Latour |
source |
5 |
| SUGI |
1992 |
Quality Sciences at Delco Electronics Corporation |
Bruce McLean |
source |
3 |
| SUGI |
1992 |
Using the GLM Procedure to Analyze Multivariate Response in Crossover Designs |
Julie Myers Grender,
William D. Johnson |
source |
6 |
| NESUG |
1991 |
Analysis of Designs with Detached Control Groups |
Robert M. Hamer |
|
7 |
| NESUG |
1991 |
Postioning Variance and Comparing Treatment Means with CONTRAST and ESTIMATE |
Kenneth S. Yourstone |
|
6 |
| NESUG |
1991 |
Two Measures of Rating Reliability |
Peter P. Gaccione |
|
7 |
| MWSUG |
1991 |
Using Analysis of Variance to Analyze Toxicology Data |
Peggy T. Konopacki,
George W. Pasdirtz |
|
6 |
| SEUGI |
1991 |
Confidence Intervals for Bioequivalence Studies |
B. Jones,
D. J. Nichols,
P. Blood |
source |
12 |
| SEUGI |
1991 |
Future Directions of Statistical Software with the SAS System |
David M. DeLong |
source |
20 |
| SEUGI |
1991 |
Optimising Performance of the SAS System Under OS/2 |
Craig Dury |
source |
5 |
| SUGI |
1991 |
A Macro for Analyzing Insulin or Glucose Concentration Time Curves |
Alfred J. Anderson |
source |
6 |
| SUGI |
1991 |
A Program for Outputting P Values and Confidence Intervals in an Analysis of Variance without the Use of the GLM or PR/NTTO Procedures |
Susan Foley Anton,
Joseph J. Andary |
source |
6 |
| SUGI |
1991 |
About JMP 2.0 |
John P. Sall,
Katherine Ng,
Michael Hecht,
Ann Lehman |
source |
6 |
| SUGI |
1991 |
Analysis of Designs with Detached Control Groups |
Robert M. Hamer |
source |
7 |
| SUGI |
1991 |
Confidence Intervals for Contrasts in the Unbalanced Analysis of Variance Using SAS/IML Software |
John Ilgenfritz,
Anand K. Seth |
source |
6 |
| SUGI |
1991 |
Contrast Generating Macros for the GLM Procedure |
John Pesek |
source |
6 |
| SUGI |
1991 |
Developing Statistical Application Workshops with SAS Software on a PC |
Priscilla Hancock |
source |
2 |
| SUGI |
1991 |
Interaction Contrasts in Repeated Measures Designs |
John F. Walsh |
source |
4 |
| SUGI |
1991 |
Optimizing the Performance of the SAS System under OS/2 |
Carolyn D. Williams,
Julie A. Maddox |
source |
5 |
| SUGI |
1991 |
PC Performance - How to Upgrade Existing Equipment, What Kind of Machine to Buy |
Mark Pabst |
source |
7 |
| SUGI |
1991 |
Regression on Medians of Probability Distributions |
Martha R. Sumler,
Henry L. Fisher,
Larry L. Hall |
source |
6 |
| SUGI |
1991 |
Some Motivation and Comments on Statistical Supercomputing |
Matthew Schall,
Weichang Li |
source |
3 |
| SUGI |
1991 |
Using the ANOVA Procedure with Summary Statistics as Input |
David A. Larson,
Charles R. Wartenberg Jr. |
source |
3 |
| SEUGI |
1990 |
Directions of the SAS System in Statistics and Decision Support |
Gerhard Held |
source |
7 |
| SUGI |
1990 |
Alternative Parameterization for Anova Models Using SAS Software |
Robert M. Hamer |
source |
8 |
| SUGI |
1990 |
ANALYSIS OF COVARIANCE: REPEATED IfEASURES AND SPLIT-Plur DESIGNS |
George A. Milliken |
source |
10 |
| SUGI |
1990 |
Analysis of Covariance: Repeated Measures and Split-Plot Designs |
Gilda P. Pareja |
source |
5 |
| SUGI |
1990 |
Analyzing and Reporting Fixed Effects in the Real World |
Christopher S. McFarland |
source |
5 |
| SUGI |
1990 |
Analyzing Balanced or Unbalanced Latin Squares and Other Repeated-Measures Designs for Carryover Effects Using the GLM Procedure |
D. A. Ratkowsky,
J. R. Alldredge,
J. W. Cotton |
source |
6 |
| SUGI |
1990 |
Computation of Variances of Functions of Parameter Estimates for Mixed Models in the GLM Procedure |
Ramon C. Littell,
Stephen B. Linda |
source |
8 |
| SUGI |
1990 |
Disk Inventory and Control System: A REXX Tool for the Management of SAS Databases under CMS |
Arthur L. Carpenter |
source |
6 |
| SUGI |
1990 |
Formatted Tables: SAS Macro Programs |
Will A. Sullivan,
Sharon M. Haney,
Harvie Chang,
Gary Stephens |
source |
6 |
| SUGI |
1990 |
Shortcuts to Customize Clinical Trial Reports |
Aileen L. Tsien |
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 Impact of Machine Architecture on the Implementation of the SAS System |
Larry J. Noe |
source |
6 |
| SUGI |
1990 |
Using a SAS/AF Application to Calculate the Power of a Statistical Test |
John F. Schneider,
Robert A. McLean,
William L. Sanders |
source |
6 |
| NESUG |
1989 |
The Analysis of Repeated Measurement Designs |
Jean Hardy |
|
7 |
| SEUGI |
1989 |
A Bioassay Method Using SAS/STAT Software |
C. M Fenton,
P. Blood |
source |
12 |
| SEUGI |
1989 |
An Application Using SAS/QC Software At Alcoa Laboratories |
Linda W. Blazek |
source |
18 |
| SUGI |
1989 |
A General Approach in the Analysis of Repeated Measures Data Using the GLM Procedure |
Lee Kaiser |
source |
6 |
| SUGI |
1989 |
An Application Using SAS/QC Software At Alcoa Laboratories |
Linda W. Blazek |
source |
10 |
| SUGI |
1989 |
Analysis of a Repeated Measures Experiment with Missing Data |
Richard R. Allen |
source |
5 |
| SUGI |
1989 |
Automated Analysis of Linear-Plateau Models |
Damon Disch |
source |
6 |
| SUGI |
1989 |
Comparison of VMSORT, SyncSort, PLSORT and SORTT under VM/CMS Using Release 5.18 of the SAS System |
Kirsty Nunez |
source |
5 |
| SUGI |
1989 |
Determination of Polynomial Sums-of-Squares Contrast Coefficients: An Application of Model Reparametrization Results Using the GLM Procedure |
Donna O. Fulenwider,
Daniel R. Jeske |
source |
4 |
| 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 |
Improving Performance in Statistical Analysis of Large Data Sets: Vector Processing of SAS Code |
Bruce Fogarty,
Leigh A. Ihnen |
source |
6 |
| SUGI |
1989 |
Multivariate Models for the Analysis of Crossover Experiments |
Vernon M. Chinchilli,
Ronald K. Elswick |
source |
5 |
| SUGI |
1989 |
Unbalanced Factorial Data and Hypothesis Testing |
Robert E. Johnson |
source |
|
| SUGI |
1989 |
Using Output. for Input in CMS |
William G. LeBlanc |
source |
5 |
| SUGI |
1989 |
Using the GLM Procedure and the CONTRAST Statement: A Very Basic Approach |
Donna O. Fulenwider |
source |
11 |
| SUGI |
1989 |
Variance Component Analysis |
Ronald R. Hocking |
source |
4 |
| SUGI |
1988 |
A Method for Hypotheses Testing in a Two-Way, Cross-classified Design with Missing Cells |
Kenneth L. Koonce,
Mattana Sanguanruang |
source |
6 |
| SUGI |
1988 |
Dealing with Limitations of SAS/STAT Software on a PC |
Thomas R. Birkett |
source |
4 |
| SUGI |
1988 |
Most Creative Use of the Software-Monochromatic |
Kernon M. Gibes |
source |
5 |
| SUGI |
1988 |
Power Analysis in an Enhanced GLM Procedure: What It Might Look Like |
Ralph G. O'Brien,
S. Paul Wright |
source |
6 |
| SUGI |
1988 |
Regression and the SAS System: An Overview |
Rudolf J. Freund |
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 |
1987 |
A Laboratory Notebook in SAS Software |
Caroline M. Bobik,
Arthur C. Singer |
source |
8 |
| SUGI |
1987 |
Performing the Friedman Test and Associated Multiple Comparison Test using PROC GLM |
David Ipe |
source |
3 |
| SUGI |
1987 |
SAS System Statistical Procedures Applied to the Analysis of Water Quality Data |
Paul D. Mowery |
source |
10 |
| SUGI |
1987 |
Strategies for Repeated Measures Analysis of Variance |
Phil Spector |
source |
4 |
| SUGI |
1987 |
Using SAS Software to Develop a Prototype for Determining Participant Profiles and for Assessing Potential Relationships Among Health Insurance Variables |
Ralph F. Catalanello,
Bruce W. Eagle |
source |
6 |
| SUGI |
1987 |
Variance Component Estimation with the SAS System |
Ramon C. Littell,
Barbara G. McCutchan |
source |
6 |
| 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 |
Analyzing Survey Data in the Electric Utility Industry Using Several SAS Procedures |
Mary Lynn Spada |
source |
4 |
| SUGI |
1986 |
Choosing Dummy Variables for a General Linear Model - Intelligently |
Stephan Arndt |
source |
3 |
| SUGI |
1986 |
DESRA-An Experimenter's Assistant |
Earl R. Westerlund |
source |
6 |
| SUGI |
1986 |
Mixed Model Analyses with the SAS System |
Ramon C. Littell |
source |
8 |
| SUGI |
1986 |
Power Analysis for Linear Models |
Ralph G. O'Brien |
source |
8 |
| SUGI |
1986 |
SAS Report Writing: Generation of Statistical Tables Using PROC PRINTTO and the DATA NULL_ Step |
Dorene M. Emmrich |
source |
5 |
| SUGI |
1986 |
Tukey-Kramer and Dunnett Procedures Based on the LSMEANS Statement |
John M. Koester,
Kathleen Mellars,
Harji I. Patel |
source |
6 |
| SUGI |
1986 |
Use and Misuse of PROC GLM |
Rudolf J. Freund |
source |
2 |
| SUGI |
1986 |
Use of SAS Software to Forecast Claims |
R. Choudary Hanumara,
Michael Salzillo |
source |
6 |
| SUGI |
1985 |
Developing a Standardized SAS Software Library for Analysis of Numerous Large Scale Clinical Trials |
Debra L. Bingham-Barnes,
Betty J. Nelson,
David E. Tappe |
source |
6 |
| SUGI |
1985 |
Modules Versus Segments: A Performance Comparison of the SAS System under the CMS Operating System |
Simon Griffiths |
source |
6 |
| SUGI |
1985 |
SAS Methods for Obtaining the Exact Hypotheses from Type 1, 11, III, and IV Estimable Functions in Terms of Cell Means Model |
Richard Lustick,
P. K. Tandon |
source |
8 |
| SUGI |
1985 |
The Role of Invertibility and Symmetry of Polychotomous Metameters for GSK and Other Related Analyses |
James E. Dunn |
source |
10 |
| SUGI |
1985 |
Using SAS Software to Estimate and Plot a Regression Line and Confidence Band in Multiple Treatment Linear Regression |
Howard Hait |
source |
6 |
| SEUGI |
1984 |
New Statistical Features in SAS |
Gerhard Held |
source |
13 |
| SUGI |
1984 |
A SAS Macro for Determining the Causes of Interaction in a Two Way Model |
Edward P. Barry,
Dar-Shong Hwang |
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 |
Panel Discussion of SAS Users Under the VMS Operating System |
Louise Horny,
Kevin Mallory,
Gerald Perry,
Brad Reese |
source |
7 |
| SUGI |
1984 |
Power Analysis for Univariate Linear Models: The SAS System Makes It Easy.. |
Virginia I. Lohr,
Ralph G. O'Brien |
source |
6 |
| SUGI |
1984 |
PROC GLM-Rearrangement of Output |
Karen L. Bourn |
source |
6 |
| SUGI |
1984 |
Rapid Response to the FDA Questions on an NDA |
Kristin K. O'Connor |
source |
4 |
| SUGI |
1984 |
Use of SAS Software for Trend and Sequential Trend Test Analysis |
Thomas P. Capizzi,
Hina Mehta,
Leonard Oppenheimer |
source |
6 |
| SEUGI |
1983 |
GLMOUT - A SAS Program to Read PROC GLM Output |
A. Eastwood,
D. A. Budgett |
|
7 |
| 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 |
Analyzing Latin Square Designs via SAS |
James E. Laughlin,
James S. Roberts |
source |
4 |
| SUGI |
1983 |
Education/Consulting Panel |
Earl Nall,
Peter L. Rikard |
source |
12 |
| SUGI |
1983 |
Interactive Least Squares Estimation of Missing Values in any GLM |
Paul D. Hamilton,
Patric Dale McCray,
Michael C. Palmer |
source |
4 |
| SUGI |
1983 |
Obtaining Part and Bipartial Canonical Correlation Estimates from PROC CANCORR: A Biomedical Application |
Steven N. Blair,
David A. Ludwig |
source |
3 |
| SUGI |
1983 |
Power Comparison of the Weighted Squares of Means Method (Type III) and the Method of Fitting Constants (Type 11) in Unbalanced ANOVA |
Ramon C. Littell,
Richard O. Lynch |
source |
8 |
| SUGI |
1983 |
PROC MATRIX as an Instructional Tool in a Multivariate Statistics Course for Social Scientists |
Robert S. Barcikowski,
Randall R. Robey |
source |
6 |
| SUGI |
1983 |
Reading and Interpreting GLM's Printout of Estimable Functions and Sums of Squares |
Ramon C. Littell |
source |
1 |
| SUGI |
1983 |
Univariate and Multivariate Repeated Measures Analysis Through PROCs REG, GLM, and MATRIX |
Robert S. Barcikowski,
Randall R. Robey |
source |
6 |
| SUGI |
1983 |
Using PROC REG to Analyze Mixture Experiments |
Mark E. Showers |
source |
4 |
| SUGI |
1983 |
Within-Drug Changes in a Multicenter Clinical Trial and Their Applications .. |
Harji I. Patel |
source |
|
| SUGI |
1982 |
Four Topics in Statistics |
Rudolf J. Freund |
source |
8 |
| SUGI |
1982 |
Hypothesis Testing with Type IV Sums of Squares of the Computer Routine SAS GLM |
G.F.S. Hudson,
Shayle R. Searle |
source |
|
| SUGI |
1982 |
Minimum Sample Size Designs for Testing Interaction |
James E. Dunn,
Mary S. Hirsch |
source |
|
| SUGI |
1982 |
Practical Applications of PROC PRINTTO |
Edward P. Barry,
Amy Ko |
source |
6 |
| SUGI |
1982 |
Repeated Measures ANOVA: The Multivariate Approach |
S. Paul Wright |
source |
4 |
| SUGI |
1982 |
SPSS MANOVA and BMDP4V for SAS GLM Users |
Kenneth N. Berk |
source |
5 |
| SUGI |
1982 |
Use of SAS to Analyze Experiments Conducted over Time with Multivariate Responses and Autocorrelated Errors |
Walter W. Stroup |
source |
7 |
| SUGI |
1981 |
A SAS Response Surface Design and Analysis Package |
Frank E. Harrell Jr. |
source |
|
| SUGI |
1981 |
A Triad of SAS Macros to Capture the Output from PROC GLM |
Roger S. Cohen |
source |
6 |
| SUGI |
1981 |
An Analysis of Methods Used in ANOVA with Missing Cells |
Ronald R. Hocking |
source |
6 |
| SUGI |
1981 |
Experience of Applying SAS in Engineering Analysis and Design |
Rhyn H. Kim |
source |
|
| SUGI |
1981 |
How to Use SAS for ANOVA of Mixture Problems |
Mark L. Tiede |
source |
7 |
| SUGI |
1981 |
Making Sense of Types I, II, III, and IV Sums of Squares in SAS GLM |
Douglas C. Bolgiano |
source |
4 |
| SUGI |
1981 |
Missing Cells Data Analysis under a Constrained "U "Model |
Dorinda Love Casanova |
source |
4 |
| SUGI |
1981 |
Plotting Confidence Bands Using PROC GLM and PROC REG |
Curtis Barton |
source |
6 |
| 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 |
The Cell Means Model: Evaluating GLM Type III and IV Sums of Squares for Linear Models with Missing Cells |
Richard L. Miller |
source |
8 |
| SUGI |
1981 |
Two-way Analysis of Variance in Computer Statistical Packages: A Comparison of SPSS, BMDP, and RUMMAGE to SAS GLM |
David W. Garton,
Kenneth L. Koonce |
source |
6 |
| SUGI |
1980 |
A Characterization of the GLM Sums of Squares |
Ronald R. Hocking,
F. Michael Speed |
source |
4 |
| SUGI |
1980 |
A Macro for Multivariate Randomization Analyses of Stratified Sample Data |
Ingrid A. Amara,
Gary G. Koch |
source |
11 |
| SUGI |
1980 |
Analysis of a Fragmented Time Series Using GLM |
James E. Dunn |
source |
|
| SUGI |
1980 |
Analysis of Repeated Measures Experiments: One- and Two-way Classifications |
Louis Bonus,
Harji I. Patel |
source |
6 |
| SUGI |
1980 |
Examples of GLM Applications |
Ramon C. Littell |
source |
7 |
| SUGI |
1980 |
Least Squares Means in the Fixed Effect Analysis of Variance |
Kenneth L. Koonce,
F. Michael Speed |
source |
|
| SUGI |
1980 |
n Annotated Guide to the Analysis of Linear Models Using SAS |
Rudolf J. Freund,
Ramon C. Littell |
source |
6 |
| SUGI |
1980 |
Nonorthogonal Analysis of Balanced Data |
Dale O. Everson,
R. Kirk Steinhorst |
source |
5 |
| SUGI |
1980 |
Recent Developments in BMDP of Special Interest to SAS Users |
James W. Frane |
source |
8 |
| SUGI |
1980 |
Teaching Statistical Computing: A Comparison of Videotape and Classroom Methodologies |
John C. Boling |
source |
4 |
| SUGI |
1979 |
Analyzing Large Data Sets Using PROC SSCP and GLMMS |
Ronald W. Helms,
James D. Hosking |
source |
5 |
| SUGI |
1979 |
Application of Stepwise MANOVA and MANCOV Using SAS |
Chandu M. Patel |
source |
9 |
| SUGI |
1979 |
Coding Subjects for Analyzing Unbalanced Repeated Measures Designs Using SAS |
Jerome R. Busemeyer,
James E. Laughlin |
source |
2 |
| SUGI |
1979 |
New Features in GLM and VARCOMP |
James H. Goodnight |
source |
10 |
| SUGI |
1979 |
PROC REPTIFMD - A SAS Procedure for Repeated Measurements Experiments with Missing Data |
William G. Jackson Jr.,
Richard C. McNee |
source |
6 |
| SUGI |
1979 |
SAS in the Analysis of Categorical Data |
Shawki A. Salem |
source |
2 |
| SUGI |
1979 |
Testing for Trends in Drug Research Data Using SAS |
Chiao Yeh |
source |
4 |
| SUGI |
1978 |
"Adjusted Means" from SAS76 |
James A. Bolognese |
source |
4 |
| SUGI |
1978 |
A SAS Macro for Maximum Likelihood Probit Analysis with Multiple Predictors |
Carolyn L. Bean,
James E. Dunn |
source |
3 |
| SUGI |
1978 |
Analysis of a Repeated Measurement Experiment with Incomplete Data |
William L. Sanders |
source |
4 |
| SUGI |
1978 |
Improving SAS PROCS without Rewriting SAS |
Nat H. Wooding Jr. |
source |
7 |
| SUGI |
1978 |
Repeated Measures in SAS |
John A. Courtright |
source |
5 |
| SUGI |
1978 |
Response Surface Contour Plotting in SAS |
Daniel M. Chilko |
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 |
Using SAS - GLM in Kinetic Modeling |
Irving K. Hwang |
source |
4 |
| SUGI |
1978 |
What Does GLM Do? The Case of the Missing Cell |
Rudolf J. Freund |
source |
6 |
| SUGI |
1977 |
A User's Point of View of the GLM Procedure in SAS76 |
George C. Chao |
source |
2 |
| SUGI |
1977 |
Really General Linear Multivariate Model Analysis |
Alvin M. Best III,
Ronald W. Helms |
source |
6 |
| SUGI |
1977 |
Retrieval and Analysis of Clinical Data Using SAS 76 Procedures |
H. S. Greenburg,
David W. Johnson,
Michael S. Lajiness,
G. L. Schooley |
source |
4 |
| SUGI |
1977 |
SAS - GLM Procedure and Analysis of Variance |
O. P. Hackney,
Ronald R. Hocking,
F. Michael Speed |
source |
7 |
| SUGI |
1977 |
SAS as Programming Tool and Central Data Interface with Other Statistical Software |
Douglas Cockrell,
Mike Foxworth,
Gary Griepentrog |
source |
|
| SUGI |
1977 |
The Use of SAS in Teaching Advanced Statistical Methods |
Nancy L. Elliott,
William A. Fowers |
source |
3 |
| SUGI.ONE |
1976 |
General Linear Model Procedure |
James H. Goodnight |
source |
39 |
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