| WUSS |
2026 |
A Weighted Deming Regression SAS Macro |
Jesse Albert Canchola,
Brahian Urrego,
Natasha Oza |
source |
29 |
| WUSS |
2026 |
The GENMOD Toolkit: What do you do when things aren't Normal? [presentation] |
Danny R. Modlin |
source |
36 |
| PharmaSUG CN |
2026 |
Implementation of IPCW in Oncology Trials and Enhanced SAS Macro Tools |
Jiayi Chen,
Meiqing Huang |
source |
13 |
| PharmaSUG |
2026 |
Contrast Effects in Curated Observational Data |
Shankar Srinivasan,
Helen Guo,
Yvonne Buttkewitz |
source |
16 |
| PHUSE US |
2026 |
Is There Really Any Benefit to Stratified Randomisation in Practice? |
Pavankumar Bhagat |
source
presentation source |
9 |
| PHUSE APAC |
2026 |
Estimation of the Hypothetical Estimands using Longitudinal version of the TMLE |
Shreya Wahi |
source
presentation source |
8 |
| PHUSE APAC |
2026 |
From Missing to Meaningful: Validating Multiple Imputation Techniques for Reliable Analysis |
Karthick Jayaraman |
source
presentation source |
8 |
| PHUSE APAC |
2026 |
MetaSuite: Empowering Network Meta-Analysis in Clinical Research Through Interactive Visualizations and User-Friendly Evidence Synthesis Tools |
Hirak Sen Roy |
source
poster source |
12 |
| PHUSE APAC |
2026 |
Precision Timing - Implementing Epoch Calculations with R for Clinical Data Integrity |
Sheik Ibrahim,
Ram Mohan Konda |
source
presentation source |
6 |
| PHUSE EU |
2025 |
GLMM and GEE for Categorical Repeated Measures - Linking SAS and R |
Miriam Amor |
source
presentation source |
16 |
| PHUSE EU |
2025 |
Is There Really Any Benefit to Stratified Randomisation Compared to Simple Randomisation with Covariate Adjustment? |
Pavankumar Bhagat |
source
presentation source |
9 |
| PHUSE EU |
2025 |
Multiple Imputations Overview of Missing Data Problem, Solution Methods and SAS Implementation |
Dmytro Kalinin |
source
presentation source |
13 |
| SESUG |
2025 |
The GENMOD Toolkit: What do you do when things aren't Normal? |
Danny R. Modlin |
|
36 |
| WUSS |
2025 |
The GENMOD Toolkit: What do you do when things aren't Normal? [presentation] |
Danny R. Modlin |
source |
36 |
| PHUSE US |
2025 |
Multiple Imputation in Composite Endpoints - It's Not That Hard! |
Ashley Mao |
source
presentation source |
6 |
| MWSUG |
2024 |
%SURVEYCANCORR Macro: Canonical Correlation for Complex Survey Data |
Mark Pickering,
Taylor Lewis,
Raul Cruz |
source |
8 |
| WUSS |
2024 |
Developing a SAS Macro for ISNI: Assessing Missing Data Sensitivity Beyond MAR Assumptions |
Bocheng Jing,
L. Grisell Diaz-Ramirez,
W. John Boscardin |
source |
16 |
| WUSS |
2024 |
Integration of an R Language Function Within SAS to Perform Conditional Multivariate Saddlepoint Approximation |
Christopher Johnson |
source |
8 |
| PharmaSUG CN |
2024 |
Implementing the treatment policy estimation for continuous variable with multiple imputation |
Andy Sun |
source |
17 |
| PHUSE US |
2024 |
AI Exploration and Innovation for the Clinical Data Scientist |
Cole Arendt,
Philip Bowsher |
source
presentation source |
15 |
| WUSS |
2023 |
Survey Data Analysis in SAS |
Denis Nyongesa,
Marianne Jurasic,
Gregg Gilbert,
Tamara Lischka |
source |
11 |
| WUSS |
2023 |
The Delta Method in Statistical Inference, with Applications in the SAS IML Procedure |
Carter Sevick,
Camille Moore,
Samantha MaWhinney |
source |
14 |
| SESUG |
2023 |
Introduction to Principal Components and Factor Analysis |
Jason Brinkley |
source |
16 |
| SESUG |
2023 |
Sampling by Reversing The Landmarking Process |
Cheng Lee |
source |
10 |
| SESUG |
2023 |
Two illustrations of the Quantity Theory of Money: A Restatement |
Lawrence Ogbeifun |
source |
81 |
| SESUG |
2023 |
Wald Tests in Mixed Models - a Warning |
David A. Dickey |
source |
20 |
| PharmaSUG |
2023 |
Meta-Analysis in R |
Lin Gu |
source |
8 |
| PharmaSUG |
2023 |
Statistical Considerations and Methods for Handling Missing Outcome Data in Clinical Trials During the Era of COVID-19 |
Xi Qian,
Chengfei Lu |
source |
11 |
| SESUG |
2022 |
Embracing Cross-Loading to Improve Latent Variable Models Fit: A comparison of available options in SAS, Mplus, and R |
Kevin B. Gittner,
Niloofar Ramezani,
Katherine Mobley |
source |
26 |
| PHUSE EU |
2021 |
Bringing to Light - Analysis Results Metadata v1.0 for Define-XML v2 [presentation] |
Hrishikesh K S,
Limna Salim |
source
video |
11 |
| SESUG |
2021 |
Missing Value Imputation |
Ross Bettinger |
source |
34 |
| SESUG |
2021 |
Using QUANTREG to Examine time and Drug on Histamine HA level in Mice |
Abbas S. Tavakoli,
Navid S. Tavakoli |
source |
7 |
| PHUSE US |
2021 |
An SAS Macro for Dynamic Page Breaks [presentation] |
Bhavana Bommisetty,
Manohar Modem |
source
video |
13 |
| PHUSE US |
2021 |
Parmsurv: An SAS Macro for Flexible Parametric Survival Analysis with Long-term Predictions |
Han Fu,
Shahrul Mt-Isa |
source
video
presentation source |
10 |
| PharmaSUG |
2021 |
Intelligent Axis Scaling in SAS plots: %IAS |
Sidian Liu,
Toshio Kimura |
source |
9 |
| PharmaSUG |
2021 |
Mitigating Multicollinearity: Using Regulation Techniques to Minimize the Effect of Collinearity |
Deanna Naomi Schreiber-Gregory |
source |
23 |
| PharmaSUG |
2021 |
SAS Proc Mixed: A Statistical Programmer-s Best Friend in QoL Analyses |
Janaki Devi Manthena,
Varsha Korrapati,
Chiyu Zhang |
source |
9 |
| SGF |
2021 |
A SAS Macro to Perform Kaplan-Meier Multiple Imputation for Survival Analyses with Competing Events |
Jialin Han,
Sai Liu,
Margaret R. Stedman,
Maria E. Montez-Rath |
source |
8 |
| PHUSE EU |
2020 |
Improve Programming and Traceability with Datasets for Statistical Analysis Results |
Henning Pontoppidan Föh,
Jeppe Juul |
source
video
presentation source |
4 |
| PHUSE EU |
2020 |
MI FOR MI, OR HOW TO HANDLE MISSING INFORMATION WITH MULTIPLE IMPUTATION |
Daria Shamaida |
source
video
presentation source |
8 |
| SGF |
2020 |
%SURVEYCORRCOV Macro: Complex Survey Data Correlations for Multivariate Analysis and Model Building |
David R. Nelson,
Siew Wong-Jacobson |
source |
20 |
| SGF |
2020 |
A Warning about Wald Tests |
David A. Dickey |
source |
20 |
| SGF |
2020 |
Bringing SURVEYMEANS Up to Speed: Improving This Procedure for Estimating Domain Level Ratios |
Brian Simonson |
source |
6 |
| SGF |
2020 |
Dealing with Missing Data in Epidemiological and Clinical Research |
Andrew T. Kuligowski,
Lida Gharibvand |
source |
6 |
| SGF |
2020 |
Estimating Unknown Change Points and Variation Using SAS |
Depeng Jiang,
Lin Yan,
Zhongyuan Zhang,
Shaoping Jiang |
source |
14 |
| SGF |
2020 |
Explanatory Machine Learning Model Plots for Epidemiological and Real-World Evidence Studies |
David Olaleye |
source |
22 |
| SGF |
2020 |
Is it possible to reduce smoking by increasing taxes? An analysis on Danish data using SAS software |
Anders Milhøj |
source |
13 |
| SGF |
2020 |
Obtaining National Readmission Estimates: Examining Readmission Rates in the United States |
Patrick Karabon |
source |
9 |
| SGF |
2020 |
Pricing Life Insurance Contracts with Early Exercise Features Using Neural Networks |
Helgard Raubenheimer |
source |
9 |
| SGF |
2020 |
Survey Data Analysis Made Easy wth SAS |
Melanie Dove,
Katherine Heck |
source |
8 |
| SGF |
2020 |
Testing Hypotheses for Equivalence and Non-inferiority with Binary and Survival Outcomes |
Joseph C. Gardiner |
source |
23 |
| PharmaSUG |
2020 |
%MVMODELS: a Macro for Survival and Logistic Analysis |
Jeffrey P. Meyers |
source |
23 |
| PharmaSUG |
2020 |
Preparing a Successful BIMO Data Package |
Elizabeth Li,
Carl Chesbrough,
Inka Leprince |
source |
20 |
| PHUSE US |
2020 |
Penalized Likelihood Logistic Regression for Sparse Data Using Data Priors |
Martin Dörr |
source
presentation source |
5 |
| SESUG |
2019 |
Advanced Statistical Modeling within Machine Learning and Big Data Analytics |
Niloofar Ramezani,
George Mason |
source |
16 |
| SESUG |
2019 |
Bootstrapping Regression Models using PROC SURVEYSELECT |
Bryce Whitehead,
Austin R. Brown |
source |
7 |
| SESUG |
2019 |
Intervention at the Library: Assessing the Effect of an Event |
David A. Dickey,
John Vickery |
source |
19 |
| SESUG |
2019 |
The Best of Both Worlds: Forecasting Using Time Series with Inputs |
David A. Dickey |
source |
19 |
| MWSUG |
2019 |
Logistic Regression, Basics and Beyond |
Bruce S. Lund |
|
35 |
| PharmaSUG |
2019 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
source |
21 |
| PharmaSUG |
2019 |
One Macro to Produce Descriptive Statistic Summary Tables with P-Values |
Rajaram Venkatesan,
Harinarayanan Gopichandran |
source |
14 |
| PharmaSUG |
2019 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
source |
23 |
| PharmaSUG |
2019 |
SAS V9.4 MNAR statement for multiple imputations for missing not at random in longitudinal clinical trials |
Lingling Li |
source |
11 |
| PharmaSUG |
2019 |
Useful SAS techniques in Efficacy Analysis for Oncology studies |
Joy Zeng |
source |
21 |
| SGF |
2019 |
A Comparison of Algorithmic and Epidemiologic Approaches for Modeling Predictors of Type II Diabetes |
Audrey Whittle |
source |
8 |
| SGF |
2019 |
A Selective Overview of Panel Data with Applications in SAS |
Oral Capps |
source |
26 |
| SGF |
2019 |
Analyzing Structural Causal Models using the CALIS Procedure |
Banoo Madhanagopal,
John Amrhein |
source |
23 |
| SGF |
2019 |
Causal Analyses Using Structural Equation Models |
Banoo Madhanagopal,
John Amrhein |
source |
23 |
| SGF |
2019 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory |
source |
23 |
| SGF |
2019 |
SCORE! Techniques for Scoring Predictive Regression Models Using SAS/STAT Software |
Phil Gibbs,
Randy Tobias |
source |
18 |
| SGF |
2019 |
Survival Estimates Prediction with Survey Data |
Bocheng Jing,
L. Grisell Diaz-Ramirez,
W. John Boscardin,
Alexandra K. Lee,
Sei J. Lee |
source |
12 |
| SGF |
2019 |
The Best of Both Worlds: Forecasting Using Time Series with Inputs |
David A. Dickey |
source |
19 |
| SGF |
2019 |
Using SAS MACRO to Demonstrate Data Presentation Standards for Proportions |
Mary Ann Bush,
Nazik Elgaddal |
source |
12 |
| PHUSE EU |
2018 |
Collinearity in Mixed Models |
John Hendrickx |
source
presentation source |
11 |
| SESUG |
2018 |
Forecasting: Something Old, Something New |
David A. Dickey |
source |
26 |
| SESUG |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory,
Henry M. Jackson |
source |
22 |
| SESUG |
2018 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory,
Henry M. Jackson |
source |
23 |
| MWSUG |
2018 |
Application of heavy-tailed distributions using PROC IML, NLMIXED and SEVERITY |
Palash Sharma |
|
14 |
| MWSUG |
2018 |
Assessing Model Adequacy in Proportional Hazards Regression |
Michael G. Wilson |
|
37 |
| MWSUG |
2018 |
Bootstrap Linear Mixed-Effects Models using SAS Procedures |
Adams Kusi Appiah |
|
17 |
| MWSUG |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
|
22 |
| MWSUG |
2018 |
Regularization Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
|
23 |
| WUSS |
2018 |
Customized Sharing Settings to Improve the Sustainability of HIEs: An Experimental Approach Using SAS |
Mohamed Abdelhamid |
source |
5 |
| WUSS |
2018 |
Forecasting: Something Old, Something New |
David A. Dickey |
source |
26 |
| WUSS |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory |
source |
21 |
| WUSS |
2018 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory |
source |
23 |
| WUSS |
2018 |
Stop the Madness! Detecting Runtime Errors and Exiting from Nested Macros Gracefully |
Ted D. Williams |
source |
9 |
| PHUSE US |
2018 |
FDA Experience with Emerging Genomics Technologies [presentation] |
Weida Tong |
source |
16 |
| PHUSE US |
2018 |
Interim Survival Analysis Across 3 Platforms |
Venita DePuy |
source
presentation source |
22 |
| PharmaSUG |
2018 |
Application of Survival Analysis in Multiple Events Using SAS |
Jane Lu,
David Shen |
source |
9 |
| PharmaSUG |
2018 |
Calculating Restricted Mean of Survival Time |
Jiuzhou Wang,
Tony Qi |
source |
7 |
| SGF |
2018 |
A SAS Macro Implementation of a Test for Co-directional Interactions |
Julia Sharp,
Patrick Gerard,
Bereket Tesfaldet |
source |
16 |
| SGF |
2018 |
Bayesian Concepts: An Introduction |
John Amrhein,
Fei Wang |
source |
10 |
| SGF |
2018 |
Confirmatory Factor Analysis in SAS : Application to Public Administration |
Niloofar Ramezani |
source |
13 |
| SGF |
2018 |
Evaluating the Accuracy of Clinical Prediction Models for Binary and Survival Outcomes |
Joseph C. Gardiner |
source |
21 |
| SGF |
2018 |
Forecasting: Something Old, Something New |
David A. Dickey |
source |
26 |
| SGF |
2018 |
Getting Started with Survival Analysis |
Marc Huber |
source |
76 |
| SGF |
2018 |
Insights into Using the GLIMMIX Procedure to Model Categorical Outcomes with Random Effects |
Kathleen Kiernan |
source |
23 |
| SGF |
2018 |
SAS Macros for Computing Causal Mediated Effects in Two- and Three-Wave Longitudinal Models |
David P. MacKinnon,
Matthew Valente |
source |
18 |
| SGF |
2018 |
Using SAS for Multiple Imputation and Analysis of Longitudinal Data |
Patricia A. Berglund |
source |
24 |
| SESUG |
2017 |
Meta-Analysis and Matrix Multiplication: Adapting an IML-Based Macro for DerSimonian and Laird's Error Calculation to use Base SAS |
Venita DePuy |
source |
16 |
| PHUSE EU |
2017 |
Comparison of Different Methods of Detecting Publication Bias |
Janhavi Kale,
Anwaya Nirpharake |
source
presentation source |
10 |
| MWSUG |
2017 |
Correlation and Structural Equation Analysis on the Effects of Anti-Discrimination Policies and Resources on the Well Being of Lesbian, Gay, and Bisexual College Students |
Brandy R. Sinco,
Michael Woodford,
Jun Sung Hong,
Jill Chonody |
|
22 |
| WUSS |
2017 |
Analysis of Complex Survey Data with SAS |
Christine Wells |
source |
6 |
| PharmaSUG |
2017 |
Combining Survival Analysis Results after Multiple Imputation of Censored Event Times |
Jonathan L Moscovici,
Bohdana Ratitch |
source |
11 |
| PharmaSUG |
2017 |
Multiple Imputation: A Statistical Programming Story |
Christopher J. Smith,
Scott Kosten |
source |
16 |
| PharmaSUG |
2017 |
Survival 101 - Just Learning to Survive |
Leanne Goldstein,
Rebecca Ottesen |
source |
20 |
| SGF |
2017 |
%SURVEYGENMOD Macro: An Alternative to Deal with Complex Survey Design for the GENMOD Procedure |
Alan Ricardo da Silva |
source |
28 |
| SGF |
2017 |
A Moment-Matching Approach for Generating Synthetic Data in SAS |
Brittany Bogle,
Jared Erickson |
source |
17 |
| SGF |
2017 |
Analyzing Residuals in a PROC SURVEYLOGISTIC Model |
Bogdan Gadidov |
source |
8 |
| SGF |
2017 |
Choose Carefully! An Assessment of Different Sample Designs on Estimates of Official Statistics |
Leesha Delatie-Budair,
Jessica Campbell |
source |
14 |
| SGF |
2017 |
Estimation Strategies Involving Pooled Survey Data |
Taylor Lewis |
source |
15 |
| SGF |
2017 |
Not So Simple: Intervals You Can Have Confidence In with Real Survey Data |
David A. Vandenbroucke |
source |
12 |
| SGF |
2017 |
PROC LOGISTIC: Using New SAS 9.4 Features for Cumulative Logit Models with Partial Proportional Odds |
Paul Hilliard |
source
zip
pdf |
16 |
| SGF |
2017 |
Using a Population Average Model to Investigate the Success of a Customer Retention Strategy |
Colleen E. McGahan |
source |
19 |
| SESUG |
2016 |
Analyzing non-normal data with categorical response variables |
Niloofar Ramezani,
Allameh Tabataba'i |
source |
9 |
| SESUG |
2016 |
Are You Sure That Is Correct?: An Overview Of Good Practices For Dataset And Output Validation |
Gregory Weller |
source |
8 |
| SESUG |
2016 |
Mixture Priors 101: Using SAS to Obtain Powerful Frequentist Inferences with Bayesian Methods |
Tyler Hicks,
Jeffrey D. Kromrey |
source |
8 |
| SESUG |
2016 |
Surviving the Interim: Insights Into Interim Survival Analyses |
Venita DePuy |
source |
31 |
| WUSS |
2016 |
Bayesian Concepts: An Introduction |
John Amrhein |
source |
8 |
| WUSS |
2016 |
Fitting Threshold Models using the SAS Procedures NLIN and NLMIXED |
Todd Coffey |
source |
11 |
| WUSS |
2016 |
Introduction to Survival Analysis in SAS |
Leanne Goldstein,
Rebecca Ottesen |
source |
19 |
| WUSS |
2016 |
MIghty PROC MI to the rescue! |
Cynthia Alvarez |
source |
10 |
| PharmaSUG |
2016 |
Latent Structure Analysis Procedures in SAS |
Deanna Naomi Schreiber-Gregory |
source |
8 |
| PharmaSUG |
2016 |
PROC REPORT: Compute Block Basics |
Arthur L. Carpenter |
source |
16 |
| PharmaSUG |
2016 |
What makes a "Statistical Programmer" different from a "Programmer" |
Arun Raj Vidhyadharan,
Sunil Mohan Jairath |
source |
12 |
| SGF |
2016 |
Analyzing Non-Normal Binomial and Categorical Response Variables under Varying Data Conditions |
Niloofar Ramezani |
source |
16 |
| SGF |
2016 |
Competing-Risks Analyses: An Overview of Regression Models |
Joseph C. Gardiner |
source |
22 |
| SGF |
2016 |
Correcting the Quasi-complete Separation Issue in Logistic Regression Models |
Xinghe Lu |
source |
10 |
| SGF |
2016 |
Dynamic Forecast Aggregation |
Michael J. Leonard |
source |
9 |
| SGF |
2016 |
Generalized Linear Models for Non-Normal Data |
Theresa H. Ngo |
source |
5 |
| SGF |
2016 |
Latent Class Analysis Using the LCA Procedure |
Patricia A. Berglund |
source |
18 |
| SGF |
2016 |
Latent Structure Analysis Procedures in SAS |
Deanna Naomi Schreiber-Gregory |
source |
8 |
| SGF |
2016 |
Multiple-Group Multiple Imputation: An Empirical Comparison of Parameter Recovery in the Presence of Missing Data using SAS |
Patricia Rodríguez de Gil,
Jeffrey D. Kromrey |
source |
15 |
| SGF |
2016 |
PROC GLIMMIX as a Teaching and Planning Tool for Experiment Design |
Walter W. Stroup |
source
zip |
19 |
| SGF |
2016 |
Quantitle Regression versus Ordinary Least Squares Regression |
Ruth Croxford |
source |
10 |
| SGF |
2016 |
Spatial Dependence, Nonlinear Panel Models, and More New Features in SAS/ETS 14.1 |
Jan Chvosta |
source |
11 |
| SGF |
2016 |
Survey Data Imputation with PROC SURVEYIMPUTE |
Pushpal K. Mukhopadhyay |
source |
26 |
| SGF |
2016 |
The Use of Statistical Sampling in Auditing Health-Care Insurance Claim Payments |
Taylor Lewis,
Julie Johnson,
Christine Muha |
source |
18 |
| SGF |
2016 |
Using SAS to Conduct Multivariate Statistical Analysis in Educational Research: Exploratory Factor Analysis and Confirmatory Factor Analysis |
Jun Xu,
Steven L. Holtzman,
Kevin Petway,
Lili Yao |
source |
13 |
| MWSUG |
2015 |
Transitions in Depressive Symptoms After 10 Years of Follow-up Using PROC LTA in SAS and Mplus |
Seungyoung Hwang |
|
11 |
| PHUSE EU |
2015 |
Facing Your Fear of the Unknown - Handling Missing Data |
Amanda Reilly |
source
presentation source |
7 |
| PHUSE EU |
2015 |
How to Reduce Bias in the Estimates of Count Data Regression |
Ashwini Joshi,
Sumit Singh |
source
presentation source |
10 |
| SESUG |
2015 |
An Intermediate Guide to Estimating Multilevel Models for Categorical Data using SAS PROC GLIMMIX |
Whitney Smiley,
Elizabeth A. Leighton,
Zhaoxia Guo,
Mihaela Ene,
Bethany A. Bell |
source |
16 |
| SESUG |
2015 |
Coder ' |
s Corner |
source |
10 |
| WUSS |
2015 |
Sample Size Convergence of Denominator Degrees of Freedom Method Options in SAS PROC MIXED |
Timothy Banh |
source |
13 |
| PharmaSUG CN |
2015 |
Comparison of Three Methods in Calculating Confidence Intervals for Rate Differences in Non-inferior Clinical Trials |
Yaohua Huang |
|
4 |
| SGF |
2015 |
An Introductory Overview of the Features of Complex Survey Data |
Taylor Lewis |
source |
22 |
| SGF |
2015 |
Analysis of Survey Data Using the SAS SURVEY Procedures: A Primer |
Patricia A. Berglund |
source |
19 |
| SGF |
2015 |
Confirmatory Factor Analysis Using PROC CALIS: A Practical Guide for Survey Researchers |
Lindsey Brown Philpot,
Sunni Barnes,
Crystal Carel |
source |
9 |
| SGF |
2015 |
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 |
Imputing Missing Data using SAS |
Christopher Yim |
source |
9 |
| SGF |
2015 |
Multiple Imputation Using the Fully Conditional Specification Method: A Comparison of SAS, Stata, IVEware, and R |
Patricia A. Berglund |
source |
17 |
| SGF |
2015 |
Replication Techniques for Variance Approximation |
Taylor Lewis |
source |
19 |
| SGF |
2015 |
Statistical Analysis of Publicly Released Survey Data with SAS/STAT Software SURVEY Procedures |
Donna Brogan |
source |
20 |
| SGF |
2015 |
Survey Sample Designs for Auditing, Fraud, and Forensics. |
Turner Bond |
source |
13 |
| SGF |
2015 |
Survival Analysis with Survey Data |
Joseph C. Gardiner |
source |
17 |
| SGF |
2015 |
The bookBot Ultimatum! |
David A. Dickey,
John Vickery |
source
zip |
19 |
| SGF |
2015 |
Using and Understanding the LSMEANS and LSMESTIMATE Statements |
David J. Pasta |
source |
20 |
| SGF |
2015 |
Using PROC SURVEYREG and PROC SURVEYLOGISTIC to Assess Potential Bias |
Lucy D'Agostino McGowan,
Alice Toll |
source |
8 |
| SESUG |
2014 |
Analysis of Zero Inflated Longitudinal Data Using Proc NLMIXED |
Delia C Voronca,
Leonard E Egede,
Mulugeta Gebregziabher,
Ralph H. Johnson |
source |
18 |
| SESUG |
2014 |
Analyzing Multilevel Models with the GLIMMIX Procedure |
Min Zhu |
source |
19 |
| SESUG |
2014 |
Strimmed_t: A SAS Macro for the Symmetric Trimmed t Test |
Diep T. Nguyen,
Anh P. Kellermann,
Eun Sook Kim |
source |
12 |
| PHUSE EU |
2014 |
PROC EASTMONITOR - A SAS Add-on for Monitoring Adaptive Clinical Trials |
Sheetal Solanki,
Ajay Sathe |
source
presentation source |
15 |
| PHUSE EU |
2014 |
Small Sample Bayesian Factor Analysis |
Dirk Heerweghm |
source
presentation source |
18 |
| PHUSE EU |
2014 |
Unuttered Questions of Statistical Programmers |
Aparajita Dey |
source
presentation source |
10 |
| MWSUG |
2014 |
Common Method Variance Techniques |
Bradford R. Eichhorn |
|
11 |
| MWSUG |
2014 |
Modifying a structural equation model of child dietary intake using the Lagrange Multiplier test in SAS PROC CALIS for MWSUG 2014 |
Lauren Cook,
Chih-Ping Chou,
Nicole Gatto,
Jaimie N. Davis,
Donna Spruijt-Metz |
|
9 |
| WUSS |
2014 |
Options in Estimating Nonlinear Mixed Models: Quadrature points and Approximation Methods |
Nate Smith,
Shelley A. Blozis |
source |
7 |
| WUSS |
2014 |
Using and Understanding LSMEANS and LSMESTIMATE |
David J. Pasta |
source |
20 |
| PharmaSUG |
2014 |
Factor Analysis of Scale for Assessment of Negative Symptoms using SAS Software |
Ben Adeyi,
David Shen |
source |
8 |
| PharmaSUG |
2014 |
Our Survival Confidence Intervals are not the Same! |
David W. Franklin |
source |
6 |
| PharmaSUG |
2014 |
Survival 101 - Just Learning to Survive |
Leanne Goldstein,
Rebecca Ottesen |
source |
19 |
| PharmaSUG |
2014 |
Survival Analysis Approaches and New Developments using SAS |
Jane Lu,
David Shen |
source |
13 |
| 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 |
An Intermediate Primer to Estimating Linear Multilevel Models Using SAS PROC MIXED |
Bethany A. Bell,
Whitney Smiley,
Mihaela Ene,
Genine L. Blue |
source |
19 |
| SGF |
2014 |
Analyzing Multilevel Models with the GLIMMIX Procedure |
Min Zhu |
source |
18 |
| SGF |
2014 |
Analyzing U.S. Healthcare Cost and Use with SAS |
Paul Gorrell |
source |
17 |
| SGF |
2014 |
Case-Level Residual Analysis in the CALIS Procedure |
Catherine Truxillo |
source |
17 |
| SGF |
2014 |
CMS Core Measures, the Affordable Care Act, and SAS Visual Analytics |
Joe Whitehurst,
Diane Hatcher |
source |
16 |
| SGF |
2014 |
Confirmatory Factor Analysis and Structural Equation Modeling of Non-cognitive Assessments Using PROC CALIS |
Steven L. Holtzman |
source |
11 |
| SGF |
2014 |
Did My Coupon Campaign Accomplish Anything? An Application of Selection Models to Retailing |
Gunce Walton,
Kenneth Sanford |
source |
11 |
| SGF |
2014 |
Got Randomness? SAS for Mixed and Generalized Linear Mixed Models |
David A. Dickey |
source |
12 |
| SGF |
2014 |
Regression Analysis of Duration and Severity Data: New Capabilities with SAS Software |
Joseph C. Gardiner |
source |
19 |
| SGF |
2014 |
Sensitivity Analysis in Multiple Imputation for Missing Data |
Yang Yuan |
source |
12 |
| SGF |
2014 |
Trimmed_t: A SAS Macro for the Trimmed T-Test |
Patricia Rodríguez de Gil,
Anh P. Kellermann,
Diep T. Nguyen,
Eun Sook Kim,
Jeffrey D. Kromrey |
source |
13 |
| WUSS |
2013 |
Subsampling with a Survey Sampling Design? DOMAIN Idea is To Get an Appropriate Variance Estimate |
Anita Rocha |
source |
6 |
| WUSS |
2013 |
Survival 101 - Just Learning to Survive |
Leanne Goldstein,
Rebecca Ottesen |
source |
24 |
| WUSS |
2013 |
Tools for Imputing Missing Data |
Taylor Lewis |
source |
16 |
| WUSS |
2013 |
Using PROC ARIMA to Model Trends in US Home Prices |
Ross Bettinger |
source |
13 |
| SESUG |
2013 |
An Intermediate Primer to Estimating Linear Multilevel Models Using SAS PROC MIXED |
Bethany A. Bell,
Whitney Smiley,
Mihaela Ene,
Phillip R. Sherlock,
Genine L. Blue |
source |
13 |
| SESUG |
2013 |
Analyzing Multiway Models with ANOM Slicing |
Peter S. Wludyka |
source |
11 |
| SESUG |
2013 |
Comparing SAS PROC MI and IVEware Callable Software |
Bruno Vizcarra,
Amang Sukasih |
source |
11 |
| SESUG |
2013 |
Evaluating the Performance of the SAS GLIMMIX Procedure for the Dichotomous Rasch model: A Simulation Study |
Isaac Y. Li,
Yi-Hsin Chen,
Jeffrey D. Kromrey |
source |
9 |
| SESUG |
2013 |
Lost in Translation: A Statistician's (Basic) Perspective of PROC LIFETEST |
Alexandra Buck |
source |
7 |
| PHUSE EU |
2013 |
Around the World in Three Statistical Models: Determing the Level of Measurement Invariance Across Countries of a PRO Instrument |
Dirk Heerwegh |
source
presentation source |
29 |
| PHUSE EU |
2013 |
Computing the 'Competing Risks' - Modeling Survival Data with Competing Risk Events using SAS Macros |
Swapna Deshpande |
source
presentation source |
10 |
| PHUSE EU |
2013 |
Overview of Receiver Operating Characteristic (ROC) Curves in SAS PROC LOGISTIC |
Paul Constantin |
source
presentation source |
1 |
| MWSUG |
2013 |
Adventures in Path Analysis and Preparatory Analysis |
Brandy R. Sinco,
Phillip L. Chapman |
|
19 |
| MWSUG |
2013 |
Analyzing Categorical Variables from Complex Survey Data Using PROC SURVEYFREQ |
Taylor Lewis |
|
20 |
| MWSUG |
2013 |
Analyzing Continuous Variables from Complex Survey Data Using PROC SURVEYMEANS |
Taylor Lewis |
|
14 |
| MWSUG |
2013 |
Ideas and Examples in Generalized Linear Mixed Models |
David A. Dickey |
|
12 |
| NESUG |
2013 |
Analyzing Continuous Variables from Complex Survey Data Using PROC SURVEYMEANS |
Taylor Lewis |
|
15 |
| NESUG |
2013 |
Proc SurveyCorr |
Jessica R. Hampton |
|
7 |
| PharmaSUG |
2013 |
A Strategy to Ensure Non-Estimable Confidence Intervals Having Equal Lower and Upper Confidence Limits are Displayed Correctly |
Claudia Jimenez-Castro |
source |
5 |
| PharmaSUG |
2013 |
Combining Analysis Results from Multiply Imputed Categorical Data |
Bohdana Ratitch,
Ilya Lipkovich,
Michael O'Kelly |
source |
19 |
| SGF |
2013 |
A Multilevel Model Primer Using SAS PROC MIXED |
Bethany A. Bell,
Jason A. Schoeneberger,
Mihaela Ene,
Whitney Smiley |
source |
19 |
| SGF |
2013 |
A SAS Macro for Computing Pooled Likelihood Ratio Tests with Multiply Imputed Data |
Stephen Mistler |
source |
10 |
| SGF |
2013 |
Assessing Model Adequacy in Proportional Hazards Regression |
Michael G. Wilson |
source |
36 |
| SGF |
2013 |
Calculating Subset-Weighted Analysis in PROC SURVEYFREQ and PROC GENMOD |
David M. Thompson,
Jessica Hale,
Paul Darden |
source
pdf |
7 |
| SGF |
2013 |
Census Retires PROC COMPUTAB |
Christopher J. Boniface,
Hung Pham,
Nora Szeto |
source |
12 |
| SGF |
2013 |
Considerations and Techniques for Analyzing Domains of Complex Survey Data |
Taylor Lewis |
source |
12 |
| SGF |
2013 |
DICHOTOMIZED_D: A SAS Macro for Computing Effect Sizes for Artificially Dichotomized Variables |
Aarti P. Bellara,
Harold Holmes,
Isaac Y. Li,
Jeanine L. Romano,
Jeffrey D. Kromrey,
Patrice Rasmussen,
Patricia Rodríguez de Gil,
Yi-Hsin Chen |
source |
12 |
| SGF |
2013 |
Know Thy Data: Techniques for Data Exploration |
Andrew T. Kuligowski,
Charu Shankar |
source |
19 |
| SGF |
2013 |
Modeling Change over Time: A SAS Macro for Latent Growth Curve Modeling |
Pei-Chin Lu,
Robert Pearson |
source |
12 |
| SGF |
2013 |
The Box-Jenkins Methodology for Time Series Models |
Theresa H. Ngo |
source |
11 |
| SGF |
2013 |
Weighted Sequential Hot Deck Imputation: SAS Macro vs. the SUDAAN PROC HOTDECK |
David Izrael,
Michael P. Battaglia |
source
pdf |
8 |
| NESUG |
2012 |
Generating Estimates for U.S. Healthcare Costs and Use |
Paul Gorrell |
|
18 |
| NESUG |
2012 |
Introducing the FMM Procedure for Finite Mixture Models |
Maura E. Stokes |
|
22 |
| PHUSE EU |
2012 |
Bootstrap Analysis Double-Independent Programming: Issues and Solutions |
Nils Penard |
source
presentation source |
10 |
| SESUG |
2012 |
A SAS macro to compute effect size (Cohen's d) and its confidence interval from raw survey data |
Rajendra P |
source |
12 |
| SESUG |
2012 |
Multiple Imputation for Ordinal Variables: A Comparison of SUDAAN's PROC IMPUTE vs. PROC MI |
Multiple Imputation |
source |
12 |
| MWSUG |
2012 |
Methods for Interaction Detection in Predictive Modeling Using SAS |
Douglas Thompson |
|
13 |
| MWSUG |
2012 |
Modeling Complex Survey Data |
Taylor Lewis |
|
16 |
| MWSUG |
2012 |
ROC Analysis for the Evaluation of Ethyl Glucuronide (EtG) as a Long-term Alcohol Biomarker in Hair and Fingernails: Evidence from a Large College Drinking Study |
Daniel Fuhrmann,
Michael Fendrich,
Lisa Berger,
Charles Plate,
Doug Lewis,
Joseph Jones |
|
10 |
| WUSS |
2012 |
Blurring the line between confirmation and exploration: Model comparison of structural equation modeling in JMP/SAS |
Chong Ho Yu |
source |
12 |
| WUSS |
2012 |
Power Analysis: What is Available and What You Need to Know |
Gerry Hobbs |
source |
11 |
| WUSS |
2012 |
Weighting Adjustment Methods for Nonresponse in Surveys |
Taylor Lewis |
source |
15 |
| PharmaSUG |
2012 |
Easy-to-use Macros to Create a Line Plot with Error Bars Including Functions of Automated Jittering and Adjusting Axis Ranges |
Andrew Miskell,
Peixin Sun,
Yufei Du |
source |
41 |
| PharmaSUG |
2012 |
Pattern-Mixture Models as Linear Combinations of Least Squares Means from MMRM with Delta Method Variance Estimation |
Bohdana Ratitch,
Michael O'Kelly |
source |
15 |
| PharmaSUG |
2012 |
Techniques for Improvising the Standard Error Bar Graph and Axis Values Completely Through SAS Annotation |
Sunil Kumar Ganeshna,
Venkateswara Rao |
source |
12 |
| SGF |
2012 |
Analyzing the Time Series of U.S. E-Commerce Using PROC UCM |
Anders Milhøj |
source |
11 |
| SGF |
2012 |
Effect Modification, Confounding,Hazard Ratio, Distribution Analysis, and Probability of Non-normal Data for Head Neck Cancer |
Manojkumar B Agravat |
source |
40 |
| SGF |
2012 |
Enhanced Data Analysis Using SAS ODS Graphics and Statistical Graphics |
Patricia A. Berglund |
source |
20 |
| SGF |
2012 |
Handling Missing Data by Maximum Likelihood |
Paul D. Allison |
source |
21 |
| SGF |
2012 |
How Test Length and Sample Size Have an Impact on the Standard Errors for IRT True Score Equating: Integrating SAS and Other Software |
Yi-Fang Wu |
source |
12 |
| SGF |
2012 |
Inflated Beta Regression: Zero, One, and Everything in Between |
Christopher J. Swearingen,
Maria S. Melguizo,
Zoran Bursac |
source |
11 |
| SGF |
2012 |
Introducing the FMM Procedure for Finite Mixture Models |
David Kessler,
Allen McDowell |
source |
22 |
| SGF |
2012 |
Introduction to Predictive Modeling with Examples |
David A. Dickey |
source |
14 |
| SGF |
2012 |
Measuring Consumer Involvement Profiles as a Second-Order Construct Using SAS PROC CALIS |
Anurag G. Srivastava,
Vikram D. Suklani,
Pranav Karnavat |
source |
16 |
| SGF |
2012 |
MV_META: A SAS Macro for Multivariate Meta-Analysis |
Julie A. Gloudemans,
Corina M. Owens,
Jeffrey D. Kromrey |
source |
15 |
| SGF |
2012 |
Propensity Score Analysis and Assessment of Propensity Score Approaches Using SAS Procedures |
Rheta E. Lanehart,
Patricia Rodríguez de Gil,
Eun Sook Kim,
Aarti P. Bellara,
Jeffrey D. Kromrey,
Reginald Lee |
source |
11 |
| SGF |
2012 |
Simplifying the Analysis of Complex Survey Data Using the SAS Survey Analysis Procedures |
Varma Nadimpalli,
Katie A. Hubbell |
source |
14 |
| SGF |
2012 |
Using SAS for the Design, Analysis, and Visualization of Complex Surveys |
Sharon Lohr |
source |
15 |
| SCSUG |
2011 |
Advice to Health Services Researchers: Be Cautious Using the "Where" Statement in SAS Programs for Nationally Representative Complex Survey Data |
Hemalkumar Mehta |
source |
10 |
| SCSUG |
2011 |
PROC SURVEYFREQ: Why Do a Three Way Table in SAS When We Want Two Way Table Information? |
Hemalkumar Mehta |
source |
14 |
| SCSUG |
2011 |
Statistical comparison of relative proportions of bacterial genetic sequences |
Jose F Garcia-Mazcorro |
source |
19 |
| SCSUG |
2011 |
Using Proc Logistic, SAS Macros and ODS Output to evaluate the consistency of independent variables during the development of logistic regression models. An example from the retail banking industry |
Alexandros Vidras |
source |
9 |
| SESUG |
2011 |
Acknowledging the Unknown: A SAS Macro for Investigating Omitted Variable Bias in Two-Level Linear Models |
Jason A. Schoeneberger,
Bethany A. Bell,
Jeffrey D. Kromrey |
source |
16 |
| SESUG |
2011 |
Analysis of a Binary Outcome Variable Using the FREQ and LOGISTIC Procedures |
Arthur X. Li |
source |
18 |
| SESUG |
2011 |
MV_META: A SAS Macro for Multivariate Meta-Analysis |
Julie A. Gloudemans |
source |
12 |
| SESUG |
2011 |
PROC SURVEY... Says!: Selecting and Analyzing Stratified Samples |
Darryl Putnam |
source |
9 |
| WUSS |
2011 |
Assessing resource adequacy uncertainty in California electricity summer demand using the MCMC procedure in SAS Enterprise MinerTM |
Miguel Garcia-Cerrutti |
source |
12 |
| WUSS |
2011 |
Fitting latency models in epidemiological studies |
Bryan Langholz |
source |
7 |
| WUSS |
2011 |
Power Analysis: What is Available and What You Need to Know |
Gerry Hobbs |
source |
11 |
| WUSS |
2011 |
SAS Essentials III: Statistics for Hamsters |
AnnMaria De Mars |
source |
18 |
| PHUSE EU |
2011 |
An Animated Guide: An Introduction to Latent Class Clustering in SAS |
Russell M. Lavery |
source |
19 |
| PHUSE EU |
2011 |
Architect - A Platform for Design and Analysis Software for Clinical Trials |
Shashank Maratkar |
source |
12 |
| MWSUG |
2011 |
Estimating Design Effects for Means, Proportions and Totals from Complex Sample Survey Data Using SAS Proc Surveymeans |
Trent D. Buskirk |
|
13 |
| MWSUG |
2011 |
Introducing SAS Structural Equation Modeling for JMP: A New User Interface That Brings the Power of SAS/STAT Software to JMP Software |
Wayne E. Watson |
|
18 |
| MWSUG |
2011 |
SAS Model Selection Macros for Complex Survey Data Using PROC SURVEYLOGISTIC/SURVEYREG |
Fang Wang,
Hee-Choon Shin |
|
27 |
| NESUG |
2011 |
Confirmatory Factor Analysis and Structural Ehuation Modeling of Non-cognitive Assessments Using PROC CALIS |
Steven L. Holtzman,
Sailesh Vezzu |
|
9 |
| NESUG |
2011 |
SAS Macro for Nonparametric Residual Bootstrap Multilevel Modeling |
Jichuan Wang,
Peichang Shi,
Avital Cnaan |
|
6 |
| NESUG |
2011 |
Using Macros to Compute US Health Insurance Coverage Estimates for Insertion into a Web-based Table Generator |
Michele M. Burlew,
Peter Graven,
Karen Turner,
Michel Boudreaux |
|
12 |
| PharmaSUG |
2011 |
A Programmer's Introduction to Survival Analysis Using Kaplan Meier Methods |
John Ventre,
Lisa Fine |
source |
8 |
| PharmaSUG |
2011 |
Basic Understanding on SE Domain for Beginners |
Gayatri Karkera |
source |
4 |
| 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 |
Introducing SAS Structural Equation Modeling: A New User Interface That Brings the Power of SAS/STAT Software to JMP Software |
Wayne E. Watson |
source |
18 |
| SGF |
2011 |
Making Use of Incomplete Observations in the Analysis of Structural Equation Models: The CALIS Procedures Full Information Maximum Likelihood Method in SAS/STAT 9.3 |
Yiu-Fai Yung,
Wei Zhang |
source |
20 |
| SGF |
2011 |
Matching-Adjusted Indirect Comparison Analysis Using Common SAS 9.2 Procedures |
Elisabetta Malangone,
Steven Sherman |
source |
6 |
| SGF |
2011 |
PATH and LISMOD Languages in SAS PROC TCALIS for Multigroup Comparisons |
Fei Gu,
Wei Wu |
source |
10 |
| SGF |
2011 |
Using SAS PROC TCALIS for Multigroup Structural Equation Modeling with Mean Structures |
Fei Gu,
Wei Wu |
source |
16 |
| NESUG |
2010 |
An Exercise Using PROC SURVEYREG and NYC HANES: Examining Social Support as a Predictor of Body Mass Index in New York City |
Jackie Lee |
|
6 |
| NESUG |
2010 |
Survey Analysis: Options for Missing Data |
Paul Gorrell |
|
10 |
| NESUG |
2010 |
The Next Generation: SAS/STAT 9.22 |
Maura E. Stokes,
Robert N. Rodriguez,
Robert Cohen |
|
20 |
| WUSS |
2010 |
Analyzing Data from Complex Samples Using PROC SURVEYFREQ in SAS 9.2 |
Kathryn Martin |
source |
7 |
| 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 |
PROC MEANS versus PROC SQL for Descriptive Statistics Generation of Weighted Data |
Keiko I. Powers |
source |
9 |
| WUSS |
2010 |
Secrets of the SG Procedures |
Cleester D. Heath |
source |
19 |
| WUSS |
2010 |
The Next Generation: SAS/STAT 9.22 |
Robert N. Rodriguez |
source |
20 |
| MWSUG |
2010 |
An Introduction to Multiple Imputation of Complex Sample Data Using SAS 9.2 |
Patricia A. Berglund |
|
12 |
| 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 |
PROC REPORT: Compute Block Basics |
Arthur L. Carpenter |
|
16 |
| MWSUG |
2010 |
The Next Generation: SAS/STAT 9.22 |
Maura E. Stokes |
|
20 |
| SESUG |
2010 |
A Macro for Calculating Summary Statistics on Left Censored Environmental Data using the Kaplan-Meier Method |
Dennis J. Beal |
source |
6 |
| SESUG |
2010 |
Fitting multivariate random-effects models using SAS PROC GLIMMIX |
Lei Li,
Namasivavayam Ambalavanan,
Abhik Das |
source |
8 |
| SESUG |
2010 |
Potential Change in Reliability Measures Based on Decreased Sample Size for the Census Coverage Measurement Survey |
Vincent Thomas Mule |
source |
12 |
| SESUG |
2010 |
SAS Macros for Estimating the Attributable Benefit of an Optimal Treatment Regime |
Jason Brinkley |
source |
12 |
| SGF |
2010 |
An Introduction to Multiple Imputation of Complex Sample Data Using SAS 9.2 |
Patricia A. Berglund |
source |
12 |
| SGF |
2010 |
Building Latent Growth Models Using PROC CALIS: A Structural Equation Modeling Approach |
Teck Kiang Tan,
Trivina Kang,
David Hogan |
source |
19 |
| SGF |
2010 |
Dancing the Sample-Size Limbo with Mixed Models: How Low Can You Go? |
Bethany A. Bell,
Grant B. Morgan,
Jason A. Schoeneberger,
Brandon L. Loudermilk,
Jeffrey D. Kromrey,
John M. Ferron |
source |
11 |
| SGF |
2010 |
Ideas and Examples in Generalized Linear Mixed Models |
David A. Dickey |
source |
12 |
| SGF |
2010 |
Practicalities of Using ESTIMATE and CONTRAST Statements |
David J. Pasta |
source |
20 |
| SGF |
2010 |
Principles of Proper Inferences from Complex Survey Data |
Taylor Lewis |
source |
9 |
| SGF |
2010 |
Survival Analysis: Overview of Parametric, Nonparametric, and Semiparametric Approaches and New Developments |
Joseph C. Gardiner |
source |
23 |
| SGF |
2010 |
Using the SAS Survey Procedures for Subpopulation Analysis with Jackknife Repeated Replication Methods in SAS 9.2 |
Zhuoqiao Wang,
William R. Waldron |
source |
9 |
| SESUG |
2009 |
A Little Stats Won't Hurt You |
Nathaniel Derby |
source |
18 |
| SESUG |
2009 |
A Monte Carlo Study to Evaluate the Robust Standard Error Feature in the PHREG procedure |
Ji Li,
Xu Zhang |
source |
7 |
| SESUG |
2009 |
A New Effect Modification P Value Test Demonstrated |
Manojkumar B Agravat |
source |
14 |
| SESUG |
2009 |
A SAS Macro for Deming Regression |
Allison M. Deal,
Virginia W. Pate,
Soumaya El Rouby |
source |
7 |
| SESUG |
2009 |
Estimation of Coefficients of Individual Agreement (CIAs) for Quantitative and Binary Data using SAS and R |
Yi Pan,
Jingjing Gao,
Michael Haber |
source |
10 |
| SESUG |
2009 |
Jittering: A SAS Macro to Shift Overlapping Plots |
Nathaniel L Baker |
source |
8 |
| MWSUG |
2009 |
A Little Stats Won't Hurt You |
Nathaniel Derby |
|
18 |
| MWSUG |
2009 |
Group Sequential Analysis Using the New SEQDESIGN and SEQTEST Procedures |
Yang Yuan |
|
20 |
| MWSUG |
2009 |
PROC REPORT: Compute Block Basics |
Arthur L. Carpenter |
|
17 |
| MWSUG |
2009 |
Using PROC CALIS and PROC CORR to Compare Structural Equation Modeling Based Reliability Estimates and Coefficient Alpha When Assumptions are Violated |
Fei Gu,
Todd Little,
Neal M. Kingston |
|
10 |
| PNWSUG |
2009 |
A Little Stats Won't Hurt You |
Nathaniel Derby |
|
18 |
| PNWSUG |
2009 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
|
11 |
| NESUG |
2009 |
A Generalized Procedure to Create SAS/Graph Error Bar Plots |
Sanjiv Ramalingam |
|
10 |
| NESUG |
2009 |
Build Multilevel Model to Assess the Length to Inpatient Readmission Using SAS PROC MIXED |
Qingfeng Liang |
|
13 |
| NESUG |
2009 |
Guido's Guide to PROC UNIVARIATE - A Tutorial for SAS Users |
Joseph J. Guido |
|
18 |
| NESUG |
2009 |
Survey Analysis: Options for Missing Data |
Paul Gorrell |
|
11 |
| WUSS |
2009 |
A Little Stats Won't Hurt You |
Nathaniel Derby |
source |
18 |
| WUSS |
2009 |
Evaluating the Change in Lung Function Over Time: Practicalities of Using ESTIMATE and CONTRAST Statements |
David J. Pasta |
source |
13 |
| WUSS |
2009 |
Guidelines for Reliability, Confirmatory and Exploratory Factor Analysis |
Diana D. Suhr,
Mary Shay |
source |
15 |
| WUSS |
2009 |
Modeling Spatial and Temporal Variations of Arsenic in Surface Water |
Anpalaki J. Ragavan |
source |
10 |
| WUSS |
2009 |
The SURVEYFREQ Procedure in SAS 9.2: Avoiding FREQuent Mistakes When Analyzing Survey Data |
Kathryn Martin |
source |
6 |
| WUSS |
2009 |
Validating the Bland-Altman Method of Agreement |
Ryan Fernandez,
George C. J. Fernandez |
source |
17 |
| PharmaSUG |
2009 |
A Generalized Procedure to Create SAS/Graph Error Bar Plots |
Sanjiv Ramalingam |
|
10 |
| PharmaSUG |
2009 |
A Little Stats Won't Hurt You |
Nathaniel Derby |
|
18 |
| PharmaSUG |
2009 |
PROC REPORT: Compute Block Basics - Part I Tutorial |
Arthur L. Carpenter |
|
16 |
| PharmaSUG |
2009 |
The Existence of Maximum Likelihood Estimates for the Logistic Regression Model |
William F. McCarthy,
Nan Guo |
|
12 |
| 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 |
A Little Stats Won't Hurt You |
Nathaniel Derby |
source |
17 |
| SGF |
2009 |
Analysis of Survival Data with Clustered Events |
Lida Gharibvand,
Lei Liu |
source |
11 |
| SGF |
2009 |
Comparison of Features and Applications of Four Linear Models Procedures |
Larry W. Douglass |
source |
19 |
| SGF |
2009 |
Designing Experiments for the Process |
George A. Milliken |
source |
27 |
| SGF |
2009 |
Extreme Survey Weight Adjustment as a Component of Sample Balancing (a.k.a. Raking) |
David Izrael,
Michael P. Battaglia,
Martin Frankel |
source |
10 |
| SGF |
2009 |
Getting the Most Out of the SAS Survey Procedures: Repeated Replication Methods, Subpopulation Analysis, and Missing Data Options in SAS 9.2 |
Patricia A. Berglund |
source |
12 |
| SGF |
2009 |
Group Sequential Analysis Using the New SEQDESIGN and SEQTEST Procedures |
Yang Yuan |
source |
20 |
| SGF |
2009 |
More than Just the Kappa Coefficient: A Program to Fully Characterize Inter-Rater Reliability between Two Raters |
Michael Cunningham |
source |
7 |
| SGF |
2009 |
Secrets of the SG Procedures |
Dan Heath |
source |
19 |
| WUSS |
2008 |
Comparing efficiency of cross validated partial least squares regression and ridge regression models in predicting spatial variability of total nitrogen concentration in Truckee River, Nevada. |
Anpalaki J. Ragavan |
source |
13 |
| WUSS |
2008 |
Moving from Data to Information: SAS Programming to Reduce Statistical and Programming Errors |
AnnMaria De Mars |
source |
6 |
| WUSS |
2008 |
PROC REPORT: Compute Block Basics - Part I Tutorial |
Arthur L. Carpenter |
source |
16 |
| WUSS |
2008 |
Step your way through Path Analysis |
Diana D. Suhr |
source |
10 |
| SESUG |
2008 |
Complex Survey Data Analysis in SAS and the Link between PROC SURVEYFREQ and SURVEYMEANS |
Taylor Lewis |
source |
5 |
| SESUG |
2008 |
Interpreting Three-way Interactions Using SAS |
Anh Le,
Maribeth H. Johnson |
source |
12 |
| SESUG |
2008 |
Parsimony vs. Complexity: A Comparison of Two-Level, Three-Level, and Cross-Classified Models Using Add Health and AHAA Data |
Bethany A. Bell,
Corina M. Owens,
John M. Ferron,
Jeffrey D. Kromrey |
source |
13 |
| MWSUG |
2008 |
PROC REPORT: Compute Block Basics - Part I Tutorial |
Arthur L. Carpenter |
|
16 |
| MWSUG |
2008 |
Survival Methods for Correlated Time-to-Event Data |
James Bena,
Shannon McIntyre |
|
3 |
| PNWSUG |
2008 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
|
11 |
| NESUG |
2008 |
An Introduction to the SAS Survey Analysis PROCs |
Xiuhua Chen,
Paul Gorrell |
|
17 |
| NESUG |
2008 |
Try, Try Again: Replication-Based Variance Estimation Methods for Survey Data Analysis in SAS 9.2 |
Pushpal K. Mukhopadhyay |
|
16 |
| 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 |
Convergence Failures in Logistic Regression |
Paul D. Allison |
source |
11 |
| SGF |
2008 |
Data Mining Application of Non-Linear Mixed Modeling in Water Quality Analysis |
Anpalaki J. Ragavan |
source |
14 |
| SGF |
2008 |
Factor Analysis of Caregiver-Strain Questionnaire in Clinical Research |
Hui Liu,
David Shen,
Louie Huang |
source |
8 |
| SGF |
2008 |
PROC MIXED: Underlying Ideas with Examples |
David A. Dickey |
source |
18 |
| SGF |
2008 |
PROC REPORT: Compute Block Basics - Part I Tutorial |
Arthur L. Carpenter |
source |
16 |
| SGF |
2008 |
Standard Graph Templates |
Philip R. Holland |
source |
8 |
| SGF |
2008 |
Structural Equation Modeling and Path Analysis Using PROC TCALIS in SAS 9.2 |
Yiu-Fai Yung |
source |
20 |
| SGF |
2008 |
Tailored Online Solutions to Meet the Clients' Data Analysis Needs Using SAS/IntrNet |
Mila Chiflikyan |
source |
13 |
| SGF |
2008 |
Try, Try Again: Replication-Based Variance Estimation Methods for Survey Data Analysis in SAS 9.2 |
Anthony B. An,
Pushpal K. Mukhopadhyay,
Randall D. Tobias,
Donna L. Watts |
source |
16 |
| SGF |
2008 |
Use of Text Mining to Predict Patient Compliance |
Christiana Petrou |
source |
15 |
| NESUG |
2007 |
Butting Heads on Matched Cohort Analysis Using SAS Software |
Melvin T. Alexander |
|
12 |
| NESUG |
2007 |
Customizing Output for Regression Analyses Using ODS and the Data Step |
Zhenyi Xue |
|
11 |
| NESUG |
2007 |
Implementing Multiple Imputation in an Automatic Variable Selection Scenario |
Krishna Mehta,
Mayank Rustagi,
Saurabh Kohli,
Siddharth Tiwari |
|
4 |
| NESUG |
2007 |
Performing Iterative Processes with the Macro Facility |
Katie Joseph,
Taylor Lewis |
|
5 |
| NESUG |
2007 |
Summarizing the Power of Your Predictive Model with Receiver Operating Characteristic Curves |
Mithat Gonen |
|
18 |
| SESUG |
2007 |
Data Mining and Investigating Treatment Options of Osteomyelitis with MRSA |
Hamed Zahedi |
source |
9 |
| SESUG |
2007 |
PROC MIXED: Underlying Ideas with Examples |
David A. Dickey |
source |
19 |
| WUSS |
2007 |
Time Series Cross Sectional Analysis of Total Nitrogen Concentration in Truckee River, Nevada Using SAS |
Anpalaki J. Ragavan |
source |
11 |
| WUSS |
2007 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
source |
11 |
| PHUSE EU |
2007 |
Using SAS to perform a stratified t-test |
John Salter |
source |
7 |
| PNWSUG |
2007 |
Missing Data? A Look at Two Imputation Methods |
Anita Rocha |
|
8 |
| PNWSUG |
2007 |
PROC REPORT: Compute Block Basics |
Arthur L. Carpenter |
|
16 |
| PharmaSUG |
2007 |
A Review of Propensity Score Application in Healthcare Outcome and Epidemiology |
Guiping Yang |
|
24 |
| PharmaSUG |
2007 |
It's Not All Relative: SAS/Graph Annotate Coordinate Systems |
Rick Edwards |
|
10 |
| SGF |
2007 |
Alternatives for Analysis of Complex Sample Surveys: A Comparison of SAS, SUDAAN, and AM Software |
Bethany A. Kromrey,
Jeffrey D. Bell-Ellison |
source |
10 |
| SGF |
2007 |
Data Mining to Investigate the Prescribing of Medications Longitudinally |
Mussie A. Tesfamicael |
source |
17 |
| SGF |
2007 |
Graphical Representation of the Mean Measurement over Time |
Wei Cheng |
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 |
Latent Class Analysis in SAS-Promise, Problems, and Programming |
David M. Thompson |
source |
12 |
| SGF |
2007 |
OLS Regression? Auto-Regression? Dynamic Regression? |
Rodger Zhang |
source |
12 |
| SGF |
2007 |
Repeated Measures Analysis with Clustered Subjects |
Ramon C. Littell |
source |
11 |
| SGF |
2007 |
Skewness, Multicollinearity, Heteroskedasticity - You Name It, Cost Data Have It! Solutions to Violations of Assumptions of the Ordinary Least Squares Regression Model Using SAS |
Leonor L. Ayyangar |
source |
7 |
| SGF |
2007 |
Using SAS Macros to Produce Tables for Publication from SAS-Callable SUDAAN |
Roger P. Pickering |
source |
10 |
| SGF |
2007 |
Using SAS PROC NLMIXED for Robust Regression |
Steven A. Chen,
Lingyun Gilbert |
source |
9 |
| PNWSUG |
2006 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
|
11 |
| PHUSE EU |
2006 |
Analysis of incomplete two-period crossover trials with SAS PROC MIXED |
Jochen Müller-Cohrs |
source |
8 |
| PHUSE EU |
2006 |
How to annotate graphics |
Sandrine Stepien |
source |
21 |
| PHUSE EU |
2006 |
Some Basic Statistics for Non-Statisticians |
Gary S. Stevens |
source |
6 |
| SESUG |
2006 |
Creating RTF Tables with Univariate Analyses of Multiply Imputed Data |
Marie Gantz |
source |
14 |
| SESUG |
2006 |
Gene Expression Profiling of DNA Microarray Data using Association rule and Structural Equation Modeling |
Mussie A. Tesfamicael |
source |
7 |
| SESUG |
2006 |
PO04 PUB_BIAS: A SAS Macro for Detecting |
Publication Bias,
Gianna Rendina-Gobioff,
Jeffrey D. Kromrey |
source |
17 |
| WUSS |
2006 |
An Approach Finding the Right Tolerance Level for Clinical Data Acceptance |
Karen Walker |
source |
5 |
| WUSS |
2006 |
Detecting Structural Change Using SAS ETS Procedures |
Archie J. Calise,
Joseph E. Earley |
source |
7 |
| 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 |
Skewness, Multicollinearity, Heteroskedasticity - You Name It, Cost Data Have It! Solutions to Violations of Assumptions of Ordinary Least Squares Regression Model Using SAS |
Leonor Ayyangar |
source |
7 |
| 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 |
Receiver Operating Characteristic (ROC) Curves |
Mithat Gonen |
|
18 |
| NESUG |
2006 |
Statistical analysis of clustered data using SAS |
Gui-Shuang Ying,
Chengcheng Liu |
|
13 |
| PharmaSUG |
2006 |
Analyzing Ordinal Repeated Measures Data Using SAS |
Bin Yang |
|
8 |
| PharmaSUG |
2006 |
How to Get Upper (or Lower) Error Bars with INTERPOL=HILOCTJ? |
Adeline Yeo |
|
4 |
| 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 |
Analysis of Large Hierarchical Data with Multilevel Logistic Modeling Using PROC GLIMMIX |
Jia Li,
Toni Alterman,
James A. Deddens |
source |
5 |
| SUGI |
2006 |
Analyzing Multivariate Longitudinal Data Using SAS |
Feng Gao,
Chengjie Xiong,
Paul A. Thompson,
J. Philip Miller |
source |
9 |
| SUGI |
2006 |
Estimate the False Discovery Rate Using SAS |
Jason A. Osborne |
source |
10 |
| SUGI |
2006 |
Exploratory or Confirmatory Factor Analysis? |
Diana D. Suhr |
source |
17 |
| SUGI |
2006 |
Fixed Effects Regression Methods in SAS |
Paul D. Allison |
source |
20 |
| SUGI |
2006 |
MDIRT-FIT: SAS Macros for Fitting Multidimensional Item Response |
Sung-Hyuck Lee |
source |
9 |
| SUGI |
2006 |
METAPERM2: A SAS Macro for Permutation Tests of Linear Models in Fixed and Random Effects Meta-Analyses |
Jeffrey D. Kromrey,
Kristine Y. Hogarty |
source |
10 |
| SUGI |
2006 |
Performing Latent Class Analysis Using the CATMOD Procedure |
David M. Thompson |
source |
8 |
| SUGI |
2006 |
Receiver Operating Characteristic (ROC) Curves |
Mithat Gonen |
source |
18 |
| SUGI |
2006 |
The Big Four: Analyzing Complex Sample Survey Data Using SAS, SPSS, STATA, and SUDAAN |
Arlene B. Siller,
Linda Tompkins |
source |
5 |
| SUGI |
2006 |
The Enigma of Survey Data Analysis: Comparison of SAS Survey Procedures and SUDAAN Procedures |
Katherine L. Baisden,
Paul Hu |
source |
11 |
| SUGI |
2006 |
Wait Wait, Don't Tell Me… You're Using the Wrong Proc! |
David L. Cassell |
source |
11 |
| SESUG |
2005 |
The Missing Link: Data Analysis with Missing Information |
Venita DePuy |
source |
9 |
| PHUSE EU |
2005 |
A Practical Introduction to the Bootstrap Using the SAS System |
Nancy Barker |
source |
17 |
| MWSUG |
2005 |
A Macro For The Calculation Of Age, Gender And Race Adjusted Incidence And Mortality Rates |
Padmini Sekar |
|
12 |
| MWSUG |
2005 |
Mining Transactional And Time Series Data |
Michael J. Leonard |
|
26 |
| WUSS |
2005 |
A Comparison of Missing Data Handling Methods |
Catherine Truxillo |
source |
20 |
| WUSS |
2005 |
A Comparison of Two Procedures to Fit Multi-Level Data: PROC GLM versus PROC MIXED |
MaryAnne DePesquo Hope |
source |
7 |
| WUSS |
2005 |
Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models |
Oliver Schabenberger |
source |
20 |
| NESUG |
2005 |
Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models |
Oliver Schabenberger |
|
20 |
| NESUG |
2005 |
PROC SURVEYMEANS |
Roger L. Goodwin |
|
8 |
| NESUG |
2005 |
The Big Four: Analyzing Complex Sample Survey Data Using SAS, SPSS, STATA, and SUDAAN |
Arlene B. Siller,
Linda Tompkins |
|
7 |
| PharmaSUG |
2005 |
An Approach Finding the Right Tolerance Level for Clinical Data Acceptance |
Karen Walker |
|
6 |
| PharmaSUG |
2005 |
Useful Techniques for Enhancement of SAS/GRAPH Output |
Louie Huang |
|
8 |
| SUGI |
2005 |
A Comparison of Two Procedures to Fit Multi-Level Data: PROC GLM versus PROC MIXED |
Erin D. Shannon,
MaryAnne DePesquo Hope |
source |
7 |
| SUGI |
2005 |
A Macro to Calculate Kappa Statistics for Categorizations by Multiple Raters |
Bin Chen,
Lynn Seel,
Dennis Zaebst |
source |
6 |
| SUGI |
2005 |
Imputation of Categorical Variables with PROC MI |
Paul D. Allison |
source |
14 |
| SUGI |
2005 |
Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models |
Oliver Schabenberger |
source |
20 |
| SUGI |
2005 |
IRT-FIT: SAS Macros for Fitting Item Response Theory (IRT) Models |
Robert Terry,
Sung-Hyuck Lee |
source |
9 |
| SUGI |
2005 |
Java in SAS: JavaObj, a DATA Step Component Object |
Richard A. DeVenezia |
source |
16 |
| SUGI |
2005 |
Maximum Likelihood Parameter Estimation with Incomplete Data |
Catherine Truxillo |
source |
19 |
| SUGI |
2005 |
Mining Transactional And Time Series Data |
Michael J. Leonard,
Brenda Wolfe |
source |
26 |
| SUGI |
2005 |
Stationarity Issues in Time Series Models |
David A. Dickey |
source |
17 |
| NESUG |
2004 |
A Regression Primer with a Touch of SAS |
Vincent Maffei |
|
14 |
| NESUG |
2004 |
Analyzing Complex Survey Data: Some SAS-SUDAAN Comparisons |
Xiuhua Chen,
Paul Gorrell |
|
15 |
| NESUG |
2004 |
Building Logistic Regression Models to Analyze Survey Data with Complex Sampling Design |
Zhenyi Xue,
Euni Lee,
Monika Datary,
Anthony Wutoh |
|
4 |
| SESUG |
2004 |
Case Studies in Time Series |
David A. Dickey |
source |
10 |
| SESUG |
2004 |
Structural Equation Modeling Assessing Micro Array Data |
Mussie A. Tesfamicael |
source |
10 |
| 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 |
| WUSS |
2004 |
The Continuing Quandary of Survey Data Part II:Comparison of SAS Procedures and SUDAAN Procedures |
Katherine L. Baisden |
source |
20 |
| MWSUG |
2004 |
Analysis of Complex Sample Survey Data |
Patricia A. Berglund |
|
7 |
| PNWSUG |
2004 |
Complex Sampling Meets the Blazing Turkey of Glory |
David L. Cassell |
|
8 |
| PharmaSUG |
2004 |
An Experiment with Experimental Proc RobustReg |
Shuang Lu |
|
5 |
| PharmaSUG |
2004 |
Generating Least Square Means, Standard Error, Observed Mean, Standard Deviation and Confidence Intervals for Treatment Differences using Proc Mixed |
Richann J. Watson |
|
12 |
| PharmaSUG |
2004 |
The Analysis of Gene Markers and the Use of SAS Procedures to Examine MicroArray Data |
Patricia B. Cerrito |
|
14 |
| SUGI |
2004 |
Bootstrap 101: Obtain Robust Confidence Intervals for Any Statistic |
Dave P. Miller |
source |
8 |
| SUGI |
2004 |
Some Statistical Strategies for Analyzing Confirmatory Studies Involving One or More Occurrences of Primary Events |
Gary G. Koch,
Maura E. Stokes |
source |
21 |
| SUGI |
2004 |
Using SAS Procedures to Make Sense of a Complex Food Store Survey |
Jeffrey M. Gossett,
Pippa M. Simpson,
Renée A. Hall,
Carol Connell,
Kathy Yadrick,
Margaret L. Bogle |
source |
8 |
| WUSS |
2003 |
Answering Your Questions with Statistics |
Diana D. Suhr |
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 |
Titling HTML Tables: Getting the Look You Want |
Kathryn A. Valdes |
source |
3 |
| SESUG |
2003 |
An Interactive Approach to Multiple Comparison Procedures |
Peter P. Davis |
source |
4 |
| SESUG |
2003 |
EFFECT_CI: A SAS Macro for Constructing Confidence Intervals Around Standardized Mean Differences |
Around Standardized Mean Differences |
source |
6 |
| PharmaSUG |
2003 |
Confidence Intervals in Analysis and Reporting of Clinical Trials |
Guangbin Peng |
|
8 |
| PharmaSUG |
2003 |
Enhancement of Survival Graphs |
Joanne C. Zhou |
|
6 |
| PharmaSUG |
2003 |
Techniques to Create a Standard Folder Structure in a Windows NT/XP Share Area for Submission Projects and Their Protocols |
Share Area |
|
6 |
| SUGI |
2003 |
An Introduction to the Analysis of Mixed Models |
Dallas E. Johnson |
source |
4 |
| SUGI |
2003 |
Case Studies in Time Series |
David A. Dickey |
source |
9 |
| SUGI |
2003 |
Complex Sampling Designs Meet the Flaming Turkey of Glory |
David L. Cassell,
AnnMaria Rousey |
source |
8 |
| SUGI |
2003 |
Enhancement of Survival Graphs |
Joanne C. Zhou |
source |
6 |
| SUGI |
2003 |
Estimating Standard Errors for CLASS Variables in Generalized Linear Models Using PROC IML |
David J. Pasta,
Miriam G. Cisternas |
source |
6 |
| SUGI |
2003 |
Estimation of Prevalence Ratios When PROC GENMOD Does Not Converge |
James A. Deddens,
Martin R. Petersen,
Xiudong Lei |
source |
6 |
| SUGI |
2003 |
Reliability, Exploratory and Confirmatory Factor Analysis for the Scale of Athletic Priorities |
Diana D. Suhr |
source |
7 |
| SUGI |
2003 |
SAS Macros and Tools for Working with Weighted Logistic Regression Models That Use Survey Data |
David Izrael,
Annabella A. Battaglia,
David C. Hoaglin,
Michael P. Battaglia |
source |
10 |
| MWSUG |
2002 |
Using Model Fitting Information and PROC PLOT to Select the Type of Varianc-Covariance Structur |
Radhi Abdulnabi |
|
7 |
| SESUG |
2002 |
Handling Missing Data with Multiple Imputation Using PROC MI in SAS |
Hossein N. Yarandi |
source |
5 |
| WUSS |
2002 |
A Macro to Perform a T-Test for Two Independent Samples Using Sufficient Statistics |
Lang-Feng Tsai |
source |
5 |
| WUSS |
2002 |
A Program to Write Programs |
Kathryn A. Valdes |
source |
4 |
| WUSS |
2002 |
Beware of the Leopard: Issues and Uses of PROC SURVEYMEANS |
AnnMaria Rousey |
source |
7 |
| WUSS |
2002 |
Calculating kappa Measures of Agreement and Standard Errors Using SAS Software: Some Tricks and Traps |
Ann Olmsted |
source |
6 |
| WUSS |
2002 |
Imputation Strategies for Sexual Orientation Using SAS PROC MI |
Jesse Albert Canchola,
Joe Catania,
Torsten Neilands |
source |
6 |
| WUSS |
2002 |
Structural Equation Modeling: Easy Solutions Using SAS |
Shuqiang Zhang |
source |
5 |
| SEUGI |
2002 |
SAS application: PEST 4 for sequential clinical trials [presentation] |
Tatsuru Matsushita |
source |
19 |
| SUGI |
2002 |
A Macro for Examining the Consequences of Error Structure Misspecifications |
John M. Ferron,
Kristine Y. Hogarty,
Melinda Hess,
Jeanine L. Romano |
source |
6 |
| SUGI |
2002 |
Analysis of Complex Sample Survey Data Using the SURVEYMEANS and SURVEYREG Procedures and Macro Coding |
Patricia A. Berglund |
source |
5 |
| SUGI |
2002 |
How Complex Can Complex Survey Analysis Be with SAS? |
Jeffrey M. Gossett,
Pippa M. Simpson,
James G. Parker |
source |
5 |
| SUGI |
2002 |
SEM for Health, Business, and Education |
Diana D. Suhr |
source |
8 |
| SUGI |
2002 |
Use of the ROC Curve and the Bootstrap in Comparing Weighted Logistic Regression Models |
David Izrael,
Annabella Battaglia,
David C. Hoaglin,
Michael P. Battaglia |
source |
6 |
| NESUG |
2001 |
Analyzing Complex Sample Survey Data: A New Beginning |
Linda Tompkins,
Arlene B. Siller |
|
3 |
| NESUG |
2001 |
Using Taylor's Linearization Technique in StEPS to Estimate Variances for Non-Linear Survey Estimators |
Roger L. Goodwin |
|
10 |
| WUSS |
2001 |
Making EXCEL Graphs from PROC LIFETEST Output |
William N. Anderson |
source |
3 |
| WUSS |
2001 |
PROC GLM or PROC CALIS? |
Diana D. Suhr |
source |
5 |
| SESUG |
2001 |
Survey Estimates and Variance Estimation Using the SURVEYMEANS Procedure |
Hossein N. Yarandi,
Shawn M. Kneipp |
source |
5 |
| SCSUG |
2001 |
Survey Estimates and Variance Estimation Using SURVEYMEANS Procedure |
Hossein N. Yarandi,
Shawn J. Kniepp |
|
5 |
| SCSUG |
2001 |
Using the SAS System to Estimate Sample Size Requirements for Small Sample Confidence Intervals |
Jim Penny |
|
5 |
| SUGI |
2001 |
Analysis of Count Data Using SAS |
Alexander Pedan |
source |
6 |
| SUGI |
2001 |
Partitioned Mahalanobis D^2 to Improve GIS Classification |
Lynette K. Duncan,
James E. Dunn |
source |
6 |
| SUGI |
2001 |
PROC GLM or PROC CALIS? |
Diana D. Suhr |
source |
3 |
| SESUG |
2000 |
Underlying Construct Analysis (UCA): Where Individual Systems End and Human Systems Begin |
Alvin L. Killough |
source |
8 |
| NESUG |
2000 |
A Pragmatic Intent-to-Treat Analysis Using SAS |
Patricia R. Houck,
Sati Mazumdar,
Kenneth S. Liu,
Charles F. Reynolds III |
|
5 |
| WUSS |
2000 |
Algorithms for Actuarial and Actual Analysis |
William N. Anderson |
source |
6 |
| WUSS |
2000 |
Analyzing Multiple Health Outcomes Using the SAS System's PROC CATMOD |
Besa Smith |
source |
5 |
| WUSS |
2000 |
PROC CALIS Multi-Sample Analysis |
Diana D. Suhr |
source |
3 |
| SEUGI |
2000 |
E.S.S.E. Editing Systems Standard Evaluation - Software Framework [presentation] |
A. Manzari,
G. Della Rocca,
M. Di Zao,
O. Luzi |
source |
20 |
| SEUGI |
2000 |
Forecasting Bad Debt by ARIMA Models with Multiple Transfer Functions using a Selection Process for many Candidate Variables [presentation] |
Alastair Jones,
Derek Hull,
John Adam |
source |
18 |
| SEUGI |
2000 |
Nissan European Aftersales: The Move from Legacy System to Data Warehouse [presentation] |
Jonathan Davies |
source |
35 |
| SEUGI |
2000 |
SAS Software for the Analysis of Epidemiologic Data [presentation] |
Hans-Peter Altenburg |
source |
39 |
| SEUGI |
2000 |
Skaen but not stirred - Why I like NLMIXED [presentation] |
Tim Auton |
source |
38 |
| PharmaSUG |
2000 |
Mixed Models Analysis Using JMP Software 4.0 |
George A. Milliken |
|
6 |
| SUGI |
2000 |
An Interactive Macro Program for Line x Tester Analysis |
Violeta I. Bartolome,
Glenn B. Gregorio |
source |
6 |
| SUGI |
2000 |
Analysis of Environmental Data Using JMP |
Andy Mauromoustakos |
source |
6 |
| SUGI |
2000 |
Analyzing Complex Sample Survey Data: A New Beginning |
Linda Tompkins,
Arlene B. Siller |
source |
3 |
| 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 |
Modeling Longitudinal Growth Data and Growth Percentiles with Polynomial Gompertz Model in SAS Software |
Inna Perevozskaya,
Olga M. Kuznetsova |
source |
6 |
| SESUG |
1999 |
Using the SAS System to Examine the Agreement between Two Programs That Score Surveys Using Samejima's Graded Response Model |
Jim Penny |
source |
7 |
| WUSS |
1999 |
Investigating Seasonality in BLS Data Using PROC ARIMA |
Joseph E. Earley |
source |
6 |
| WUSS |
1999 |
Minimizing Mixed Output |
Stefanie J. Silva,
Dave P. Miller |
source |
4 |
| WUSS |
1999 |
Polychotomous Logistic Regression and the Creation of Odds Ratios and Confidence Intervals Using the SAS PROC CATMOD |
Besa Nushi |
source |
5 |
| NESUG |
1999 |
Fitting Nonlinear Mixed Models with the New NLMIXED Procedure |
Russell D. Wolfinger |
|
10 |
| MWSUG |
1999 |
Longitudinal Data Analysis Repeated-Measure ANOVA and Mixed Models |
Nancy E. Briggs,
Ching-Fan Sheu |
|
6 |
| MWSUG |
1999 |
Using PROC MIXED in Hierarchical Linear Models: Examples from two- and three-level school-effect analysis, and meta-analysis research |
Sawako Suzuki,
Ching-Fan Sheu |
|
8 |
| SEUGI |
1999 |
Quasi-Monte Carlo applications for financial risk management [presentation] |
Maurizio Mondello,
Maurizio Ferconi |
source |
28 |
| SUGI |
1999 |
Behind Marketing Data |
Flavio Addolorato,
Silvia Pacei |
source |
6 |
| SUGI |
1999 |
Fitting Nonlinear Mixed Models with the New NLMIXED Procedure |
Russell D. Wolfinger |
source |
10 |
| SUGI |
1999 |
Measurement of Interrater Agreement: A SAS/IML Macro Kappa Procedure for Handling Incomplete Data |
Honghu Liu,
Ron D. Hays |
source |
6 |
| MWSUG |
1998 |
Using JMP for Design of Experiments and Variability Analysis for Semiconductors |
William R. Gjertsen |
|
7 |
| WUSS |
1998 |
Analysis of the Multivariate ENSO Index Using SAS/ETS Procedures |
Joseph E. Earley |
source |
4 |
| WUSS |
1998 |
Estimating Standard Errors of Treatment Effects for Probit Models and for Linear Models of Log-Transformed Variables with PROC IML |
David J. Pasta,
Miriam Cisternas,
Cynthia L. Williamson |
source |
6 |
| WUSS |
1998 |
New SAS Procedures for Analysis of Sample Survey Data |
Anthony B. An,
Donna L. Watts |
source |
11 |
| WUSS |
1998 |
Using SAS to Implement Jackknife and Bootstrap Methods for Survey Data |
Tony Ye,
Ruby Lin |
source |
4 |
| WUSS |
1998 |
Which Path with PROC CALIS? |
Diana D. Suhr |
source |
7 |
| SESUG |
1998 |
Regression with Time Series Errors |
David A. Dickey |
|
9 |
| SESUG |
1998 |
The Replication Method for Estimating Sampling Errors, Principles, and Software |
David Morganstein,
J. Michael Brick |
|
5 |
| SEUGI |
1998 |
Use of the SAS VARCOMP Procedure to estimate analytical repeatability |
Anna Carroli |
source |
5 |
| SUGI |
1998 |
A Macro for Converting Mean Separation Output to Letter Groupings in PROC MIXED |
Arnold M. Saxton |
source |
4 |
| SUGI |
1998 |
Bootstrapping the Standard Error of the Mediated Effect |
Chondra M. Lockwood,
David P. MacKinnon |
source |
6 |
| SUGI |
1998 |
Multivariable Cox Proportional Hazard Model by SAS PHREG &Validation by Bootstrapping Using SAS Randomizers With Applications Involving Electrocardiology and Organ T ransplants |
Sudhanshu K. Ghoshal |
source |
6 |
| SUGI |
1998 |
Overall Part Number Item |
Rank Rank |
source |
19 |
| SUGI |
1998 |
Robust Standard Error Estimate for Cluster Sampling Data: A SAS/IML Macro Procedure for Logistic Regression with Huberization |
Honghu Liu |
source |
6 |
| SUGI |
1998 |
Using JMP Software to Get a Jump on Childhood Leukemia by Modeling Assay Data |
Pippa M. Simpson,
Merlin Hamre,
H. Spencer,
Y. Ravindranath |
source |
3 |
| SCSUG |
1997 |
Reliability Data Analysis in the SAS System |
Gordon Johnston |
|
10 |
| SCSUG |
1997 |
The Use of PROC ARIMA to Test An Intervention Effect |
Neil S. Fleming,
Eric Gibson,
David G. Fleming |
|
8 |
| WUSS |
1997 |
Analysis of Time Series Data - An Application in Health Care |
Sujaya Parthasarathy |
source |
6 |
| WUSS |
1997 |
Confirmatory Factor Analysis Using PROC CALIS |
Diana D. Suhr,
James Keaton,
Lynne Kelly,
Cynthia Finch |
source |
5 |
| WUSS |
1997 |
Logistic Regression Modeling in Complex Surveys: Examples Using LOGITSE SAS Macro |
Jesse Albert Canchola,
Brian D. Marx,
Joseph A. Catania |
source |
10 |
| WUSS |
1997 |
Population Adjusted Kaplan-Meier Curves |
Jimmy Thomas Efrid |
source |
6 |
| WUSS |
1997 |
Reliability Data Analysis in the SAS System |
Donna O. Fulenwider,
Gordon Johnson |
source |
10 |
| NESUG |
1997 |
Estimation of Sample Selection Models with SAS/IML Software |
Charles B. Hallahan |
|
9 |
| NESUG |
1997 |
Exploring Multi-Dimensional Relationships with SAS/GRAPH Software |
Gail F. Kirk |
|
7 |
| NESUG |
1997 |
How to Plot a Line Chart with a Standard Error |
Hany Aboutaleb |
|
3 |
| NESUG |
1997 |
Missing Value Imputation Methods for Large Databases |
Leonardo Auslender |
|
8 |
| NESUG |
1997 |
One Bar Chart, Two Variables, Three Axes |
Anne Horney |
|
5 |
| MWSUG |
1997 |
An Introduction to Survival Analysis |
Linda M. Quinn |
|
12 |
| MWSUG |
1997 |
Enhancing the Output from PROC LOGISTIC |
Bharat K. Thakkar,
Kwan Hur,
Charles A. Oprian,
William G. Henderson,
Sharon Urbanski |
|
6 |
| MWSUG |
1997 |
Reliability Data Analysis in the SAS System |
Gordon Johnston |
|
10 |
| MWSUG |
1997 |
Using SAS for Variance Estimation with Complex Sample Surveys |
Patricia A. Berglund |
|
9 |
| 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 |
The Use of SAS to Construct Horvitz-Thompson Type Estimators for Safety Belt Compliance |
Holmes Finch |
|
6 |
| SUGI |
1997 |
A SAS Macro for Calculating Bootstrapped Confidence Intervals About a Kappa Coefficient |
Robert A. Vierkant |
source |
5 |
| SUGI |
1997 |
Enhancing the Output from PROC LOGISTIC |
Bharat K. Thakkar,
Kwan Hur,
Charles A. Oprian,
William G. Henderson,
Sharon Urbanski |
source |
6 |
| SUGI |
1997 |
Estimating Nonlinear Systems Using Customized SAS Macros: A Study on Demand for Medical Products and Services in the U.S. |
Jun Zuo,
Guijing Wang |
source |
6 |
| SUGI |
1997 |
Forecasting College Enrollment Using the SAS System |
Joseph E. Earley,
Archie J. Calise |
source |
4 |
| SUGI |
1997 |
Implementing Balanced Replicated Subsampling Designs in SAS Software |
Roland K. Hawkes |
source |
6 |
| SUGI |
1997 |
Interactive Sampling Using SAS/AF Frames |
Keith Cranford,
Don Boudreaux |
source |
5 |
| SUGI |
1997 |
LOGITSE: A SAS Macro for Logistic Regression Modeling in Complex Surveys |
Jesse Albert Canchola,
Brian D. Marx,
Joseph A. Catania |
source |
6 |
| SUGI |
1997 |
The Tobit Model: An Example of Maximum Likelihood Estimation with SAS/IML |
Charles B. Hallahan |
source |
6 |
| SUGI |
1997 |
Two Methods to Produce Mean Plots of Clinical Trials Data: Why Simplifying with Annotate is Not an Oxymoron |
Michael A. Riddle |
source |
6 |
| SUGI |
1997 |
Using SAS Software to Compute Variances for Poisson Samples |
Terry L. Pennington |
source |
6 |
| SUGI |
1997 |
Visual Hypothesis Testing with Confidence Intervals |
Robert W. Smith |
source |
|
| SCSUG |
1996 |
Sampling Techniques Using SAS Software |
Keith Cranford,
Don Boudreaux |
|
10 |
| SESUG |
1996 |
SAStistics 101 |
Robert E. Johnson |
|
8 |
| NESUG |
1996 |
An Alternative Way to Compute the Kappa Statistics in Observer Agreement Studies |
Yukiko Ellis |
|
8 |
| NESUG |
1996 |
BIOEQ4: Bioequivalence Macro to Create both Table and SAS data set according to the FDA Bioequivalence Guidelines Issued in 1992 |
Mary Kay McPherson |
|
6 |
| NESUG |
1996 |
Maximum Likelihood Estimation with SAS/IML |
Charles B. Hallahan |
|
7 |
| NESUG |
1996 |
Poor Mans's Missing Value Recovery Methods |
Leonardo Auslender |
|
10 |
| NESUG |
1996 |
Using SAS to Compute Variances For Poisson Samples |
Terry L. Pennington |
|
6 |
| NESUG |
1996 |
Using the SAS System to Perform McNemar's Test and Calculate the Kappa Statistic for Matched Pairs of Data |
Lisa Suchower,
Margaret Copenhaver |
|
8 |
| MWSUG |
1996 |
Health Care Applications of Statistical Process Control: Examples Using the SAS System |
Robert N. Rodriguez |
|
16 |
| PNWSUG |
1996 |
Computing and Presenting Adjusted Rates for Health Utilization Research |
William Kreuter |
|
17 |
| SUGI |
1996 |
Analysis of Unbalanced Mixed Model Data |
Ramon C. Littell |
source |
6 |
| SUGI |
1996 |
Estimating Optimal Transformations in Non-Linear Models |
Nicholas Scott Cardell,
Dan Steinberg |
source |
6 |
| SUGI |
1996 |
Health Care Applications of Statistical Process Control: Examples Using the SAS System |
Robert N. Rodriguez |
source |
16 |
| SUGI |
1996 |
Latent-Variable, Structural-Equation Modeling with PROC CALIS |
Larry Hatcher |
source |
10 |
| SUGI |
1996 |
Using PROC ARIMA to Test an Intervention Effect |
Neil S. Fleming,
Eric Gibson,
David G. Fleming |
source |
10 |
| MWSUG |
1995 |
Applications of PROC PHREG Enhancements in Version 6.10 |
Ying C. So |
|
9 |
| MWSUG |
1995 |
Doing Inverse Regression Estimation Via SAS/IML |
E. C. Drago,
T. G. Filloon |
|
6 |
| MWSUG |
1995 |
Hypothesis Testing & Confidence Interval Estimation via the Least Absolute Value (LAV) Approach |
Tom G. Filloon |
|
6 |
| MWSUG |
1995 |
Making Inference for Reliability Indices based on Beta Binomial Model with SAS Software |
Jianli Li |
|
4 |
| NESUG |
1995 |
A Macro That Generates the PROC GLM LSMEANS Table from the LSMEANS Output Data Set |
Michael A. Walega |
|
2 |
| NESUG |
1995 |
Estimating MEXVAL Statistics |
Ashok Mehta |
|
5 |
| NESUG |
1995 |
Estimation of Nonlinear Models: A Computational Review |
D. Das Purkayastha |
|
8 |
| NESUG |
1995 |
Macro Based Reshaping of Pharmacokinetic Data for Crossover Studies |
Doreen M. Turczyn-Toles |
|
9 |
| NESUG |
1995 |
Using SAS To Compute Variances For Stratified Samples |
Lawrence Helbers |
|
5 |
| WUSS |
1995 |
An Introduction to PROC ARIMA Using Macroeconomic Time Series |
Joseph E. Earley |
source |
14 |
| WUSS |
1995 |
Implementation of a Simple Method for the Analysis of Over-Dispersed Counts and Proportions |
Jennifer Lee,
Chul W. Ahn |
source |
3 |
| SEUGI |
1995 |
The Analysis of Cross-Over Study with Repeated Measures within PEriods by Using Different Covariance Structures |
Juhani Tuominen,
Sanna Hinkka |
source |
12 |
| SUGI |
1995 |
An Interactive Program of the GEE Method for the Analysis of Longitudinal Data |
Masakazu Andoh,
Tohru Uwoi |
source |
6 |
| SUGI |
1995 |
Bootstrap Cox Regression Using SAS Procedures |
Chikuma Hamada,
Junji Kishimoto |
source |
5 |
| SUGI |
1995 |
Calculating Confidence Intervals on Proportions of Variability Using the VARCOMP and IML Procedures |
Annette M. Green,
David Umbach |
source |
6 |
| SUGI |
1995 |
Comparing the SAS GLM and MIXED Procedures for Repeated Measures |
Ming Chang,
Russell D. Wolfinger |
source |
11 |
| SUGI |
1995 |
Conducting Linear Growth Curve Analysis with the SAS System |
Laura Ichikawa,
William E. Barlow |
source |
6 |
| SUGI |
1995 |
Modeling Variation in Repeated Measures Data |
Ramon C. Littell |
source |
5 |
| SUGI |
1995 |
Path Analysis with the CALIS Procedure: A Step-By-Step Approach to Writing the Program |
Larry Hatcher |
source |
4 |
| SUGI |
1995 |
Robust Analysis Adds M-uscle to Data Analyses |
E. Charlene Drago,
Tom Filloon |
source |
6 |
| SUGI |
1995 |
Windowed Interface for Statistical Analysis of Registry Data (WISARD): A SAS/AF Information System Using Distributed Processing |
Michael Swift,
Bradley Haig |
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 |
SAS in Taming Classical Violations |
Kamal Shoukry |
source |
3 |
| WUSS |
1994 |
Visualization of Scientific Data: Specialty Graphs Without Using Annotate |
Arthur L. Carpenter |
source |
9 |
| SESUG |
1994 |
Managing Overkill: How to Use SAS PROC CA TMOD to Estimate Odds Ratios |
Sigurd W. Hermansen |
|
5 |
| SESUG |
1994 |
rOSTERS Applications in SASIIMLTM: Getting Odds Ratios from PROC LOGISTIC |
D. Kim Chantala |
|
5 |
| SESUG |
1994 |
SAS Macros for Sample Selection and Estimation |
N. I. Lyons,
K. Tam |
|
4 |
| SEUGI |
1994 |
Using PROC MIXED on Animal Growth Curves Some Initial Experiences |
Graham Healey |
source |
10 |
| SUGI |
1994 |
A Strategy for Running Fractional Factorial Experiments |
Robert A. McLean |
source |
5 |
| SUGI |
1994 |
An Application of SAS Procedure In Evaluation of Drug Effect Estimation of Mean Residual Lifetime |
Jianli Li |
source |
6 |
| SUGI |
1994 |
Automating the Plotting of Significant Effects in Analysis of Variance |
Matthew Grover,
Huixing Tang |
source |
6 |
| 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 |
Nonlinear Regression Analysis and Nonlinear Simulation Models |
Donald Erdman,
Mark Little |
source |
9 |
| SUGI |
1994 |
Properties of Power, An Educational Tool |
Julie Wildman-Pepe,
Susan C. Schott |
source |
5 |
| SUGI |
1994 |
Recent Issues in Statistical Process Control: SAS Solutions USing Statistical Modeling Procedures |
Robert N. Rodriguez |
source |
18 |
| SUGI |
1994 |
Visualization of Scientific Data: Specialty Graphs Without Using Annotate |
Arthur L. Carpenter |
source |
9 |
| WUSS |
1993 |
A Modification of Two-Stage Least Squares in Quasi-Experiments |
Alex Ezuzides,
Raymond C. Peck |
source |
9 |
| SCSUG |
1993 |
Automating the Plotting of Significant Effects in Analysis of Variance |
Huixing Tang,
Matthew Grover |
|
14 |
| MWSUG |
1993 |
Common Industrial Applications of Mixed Models |
Bob Obenchain |
|
10 |
| MWSUG |
1993 |
Generalized Least Squares Estimation in Heteroscedastic Linear Models |
George W. Pasdirtz |
|
7 |
| MWSUG |
1993 |
Statistical Graphs in Environmental Regulatory Studies |
Larry R. Holden |
|
8 |
| SEUGI |
1993 |
A New Look at the Facilities in PROC MIXED |
James L. Roger |
source |
12 |
| SUGI |
1993 |
A SAS Macro Procedure to Summarize the Output of Logistic Regression Models |
Benjamin I. Broder,
Chih-Ping Chou |
source |
6 |
| SUGI |
1993 |
Statistical Graphics in Environmental Regulatory Studies |
Larry R. Holden |
source |
8 |
| SUGI |
1993 |
The Laboratory Review System: A SAS-based Graphical and Statistical Tool Developed for a Computer-Assisted New Drug Application (CANDA) Submission |
Russell R. Holmes,
David A. Bright |
source |
6 |
| SESUG |
1993 |
Combined Ratio Estimates Computed with SAS |
Joan M. Pausche |
|
6 |
| SESUG |
1993 |
Repeated Measures Using PROC MIXED Instead of PROC GLM |
James H. Roger,
Michael Kenward |
|
10 |
| SCSUG |
1992 |
The Use of PROC ARIMA to Perform Time-Series Intervention Analysis of the Impact of the Texas 1989 Motorcycle Helmet Law on Total and Head-Related Fatalities |
Neil S. Fleming |
|
21 |
| NESUG |
1992 |
Methods to Display a Y*X=Z/OVERLAY Picture |
Jessica Chan,
Julie A. Smith |
|
5 |
| NESUG |
1992 |
The Laboratory Review Systems: A SAS-based Graphical and Statistical Tool Developed for a CANDA Submission |
Russell R. Holmes,
David A. Bright |
|
6 |
| NESUG |
1992 |
Using Macros to Create Parameter Driven Procedures that Summarize and Present Statistical Output in Tabular form |
John Wenston,
Ralph D'Agostino Jr.,
Kimbery Dukes |
|
6 |
| SEUGI |
1992 |
Effects of Using the NOINT Option in Various Regression Procedures of SAS/STAT Software |
Rainer Muche |
source |
10 |
| SEUGI |
1992 |
Using SAS Macros and PROC IML to Create Special Designs for Use in Generalised Linear Models |
John Hendrickx |
source |
22 |
| SUGI |
1992 |
A Bootstrap Evaluation of the EM Algorithm for Censored Survival Data |
George W. Pasdirtz |
source |
6 |
| SUGI |
1992 |
A Macro Procedure in SAS Software to Summarize Output of Regression Models |
Chih-Ping Chou,
Eric Yu I. Wang |
source |
4 |
| SUGI |
1992 |
Analyzing Business and Economics Data with SAS/ETS Software |
Mark Little |
source |
9 |
| SUGI |
1992 |
Assessment of Interrater Agreement for Multiple Nominal Responses among Several Raters |
Chul W. Ahn |
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 |
Statistical Simulations Using the CALIS Procedure |
David P. MacKinnon |
source |
5 |
| NESUG |
1991 |
Annotation in SAS/GRAPH: An Introduction to Advanced Graphics |
Irene Mendelson |
|
4 |
| MWSUG |
1991 |
Boostrapping the Kaplan-Meier Difference Equation |
George W. Pasdirtz |
|
6 |
| MWSUG |
1991 |
Consumer Demand Preference Patterns: Using PROC IML to Forecast Future Demand |
Daric Brummett,
Lawrence C. Marsh |
|
5 |
| MWSUG |
1991 |
Cut the Key Entry and Contain the Corrections: Automating SAS Systems with OUTPUT and MERGE Features in Macros |
David J. Ross |
|
4 |
| SEUGI |
1991 |
Attributable Risk Estimation Using SAS/STAT Software |
Olaf Gefellar |
source |
8 |
| SEUGI |
1991 |
Future Directions of Statistical Software with the SAS System |
David M. DeLong |
source |
20 |
| SUGI |
1991 |
A Macro For Principal Component Logistic Regression |
Brian D. Marx |
source |
6 |
| SUGI |
1991 |
A Macro to Create a SAS Data Set Containing Commonly Reported Statistics for the Analysis of Multiple 2 x 2 Tables |
Suzanne Edwards,
John Henry King,
Gary G. Koch |
source |
4 |
| 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 |
A Program to Compute Odds Ratios and Confidence Intervals from LOGISTIC Output |
Eric Yu I. Wang,
Aili Gong,
David P. MacKinnon |
source |
4 |
| SUGI |
1991 |
Analysis of Sparse Repeated Categorical Measurement Data |
Alan Agresti,
Stuart Lipsitz,
Joseph B. Lang |
source |
9 |
| 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 |
Econometric Modeling of Sweetgum Stem Biomass Using the IML and SYSLIN Procedures |
Bernard R. Parresol,
Charles E. Thomas |
source |
6 |
| SUGI |
1991 |
Managing Multicollinearity with the SAS System |
Rudolf J. Freund |
source |
9 |
| SUGI |
1991 |
Psychometric Applications with Optical Scanning and Analysis |
W. J. Klein,
Gordon Emslie |
source |
5 |
| SUGI |
1991 |
Regression on Medians of Probability Distributions |
Martha R. Sumler,
Henry L. Fisher,
Larry L. Hall |
source |
6 |
| SUGI |
1991 |
Ridge Regression from Correlation Matrix Input |
Lawrence Hotchkiss,
John R. Gerlach |
source |
6 |
| SUGI |
1991 |
SAS Software Automated IC50 Parameter Estimation with Repeated Measures Data |
Dorene M. Emmrich,
Linda Archer,
Greg Silva,
Charles R. Villarrubia |
source |
3 |
| SUGI |
1991 |
The TPSTAT System for the Analysis and Reporting of Toxicology and Pathology Data and Its Implementation under Version 6 of the SAS Software |
Murray R. Selwyn,
Peter P. Gaccione,
Scott E. Moseley,
Virginia M. Ashe |
source |
6 |
| SUGI |
1991 |
The Use of the SAS System in Statistical Training |
William L. Sanders |
source |
4 |
| SUGI |
1991 |
Three Year Follow-up of a Transition from a Mainframe to a PC Computing Environment Using SAS Software |
Ray Palmer,
Clyde Dent |
source |
3 |
| SEUGI |
1990 |
Directions of the SAS System in Statistics and Decision Support |
Gerhard Held |
source |
7 |
| SEUGI |
1990 |
Short Term Predictions: A Monitoring System |
M. Helder |
source |
7 |
| SUGI |
1990 |
A SAS Macro for the Box-Cox Transformation: Estimation and Testing |
Charles B. Hallahan |
source |
6 |
| SUGI |
1990 |
ANALYSIS OF COVARIANCE: REPEATED IfEASURES AND SPLIT-Plur DESIGNS |
George A. Milliken |
source |
10 |
| SUGI |
1990 |
Analysis of Covariance: Repeated Measures and Split-Plot Designs |
Gilda P. Pareja |
source |
5 |
| SUGI |
1990 |
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 |
Determining Weight Values for EWMA Control Schemes Using the ARIMA Procedure |
John C. Brocklebank |
source |
10 |
| SUGI |
1990 |
Estimating Standard Errors for a Proposed Survey |
Samuel M. Slowinski,
Hank Leddon |
source |
6 |
| SUGI |
1990 |
Nonsymmetric Bootstrap Confidence Intervals Using SAS/IML Software on a PC |
George W. Pasdirtz |
source |
4 |
| SUGI |
1990 |
Transfer Function Model for Gloss Prediction of Coated Aluminum Using the ARIMA Procedure |
Mozammel H. Khan |
source |
6 |
| NESUG |
1989 |
Sequential Sampling Techniques and Weighted Analysis |
Wendell F. Refior |
|
7 |
| SEUGI |
1989 |
A Bioassay Method Using SAS/STAT Software |
C. M Fenton,
P. Blood |
source |
12 |
| SEUGI |
1989 |
Sample Size For Two-Stage Designs In Phase II Clinical Trials |
Alfredo Ardia |
source |
6 |
| SUGI |
1989 |
A General Approach in the Analysis of Repeated Measures Data Using the GLM Procedure |
Lee Kaiser |
source |
6 |
| SUGI |
1989 |
A SAS/IML Matrix Program to Estimate Indirect Effects and Their Standard Errors |
David P. MacKinnon,
Eric Yu I. Wang |
source |
6 |
| 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 |
Estimating the Translog Functional Form and Calculating Elasticities with Standard Errors: An Application of the IML Procedure |
Gary S. Klonicki |
source |
6 |
| SEUGI |
1988 |
The SAS System for the UNIX Environment |
Carl Zeigler |
source |
5 |
| SUGI |
1988 |
Forecasting as a Tool for Decision Making |
Joel Fingerman |
source |
6 |
| SUGI |
1988 |
SAS Software for the UNIX Environment |
T. Randall Betancourt,
Chip Kelly,
John Carl Zeigler |
source |
5 |
| SUGI |
1988 |
Statistics for Ordered Categorical Data |
Thomas O'Gorman,
Robert F. Woolson |
source |
7 |
| SUGI |
1988 |
The Analysis of Covariance for Split-Unit and Repeated-Measures Experiments Using the GLM Procedure (II) |
W.T. Federer,
Michael P. Meredith,
Nancy J. Miles-McDermott |
source |
6 |
| SUGI |
1988 |
Utilizing SAS Software to Generate Command Language Programs: Using CA-TELLAGRAF as an Example |
Sue Huang |
source |
5 |
| SUGI |
1987 |
A Flexible Mean-Standard Error Plot: Macro Program |
Will A. Sullivan,
Lianng Yuh |
source |
4 |
| SUGI |
1987 |
Confidence Limits for the Product Moment Correlation Coefficient Based upon Normalizing Transformations |
Herbert Hamilton |
source |
6 |
| SUGI |
1987 |
Graphical Illustration of a Water Pollution Index Using SAS/GRAPH Software |
Michael J. Millard,
E. Barry Moser |
source |
4 |
| SUGI |
1987 |
Interpretation and Diagnostics of the Multinomial Logistic Regression |
Dan Steinberg |
source |
6 |
| SUGI |
1987 |
Some Applications of PROC MATPAR: Match Pair Partial Correlation Procedure |
Chun Chen,
Robert E. Johnson |
source |
6 |
| SUGI |
1987 |
The Analysis of Survival Data with Concomitant Information using Parametric Models: PROC HAZARD and PROC HAZPRED |
Eugene H. Blackstone,
David C. Naftel |
source |
6 |
| SUGI |
1987 |
Transfer Functions using PROC ARIMA |
John C. Brocklebank,
David A. Dickey |
source |
7 |
| SUGI |
1987 |
Use of SAS Procedures for Estimating Design Based Logistic Regression Variances by Balanced Repeated Replication (BRR) |
Daniel H. Freeman Jr.,
Philip J. Leaf,
Martha Livingston Bruce |
source |
5 |
| SUGI |
1986 |
A Macro for Conditional Ordinary Least Squares and Weighted Least Squares Analysis of Repeated Measures Data |
Margaret Burchinal |
source |
6 |
| SUGI |
1986 |
Checking for Autocorrelation in Regression Residuals |
John C. Brocklebank,
David A. Dickey |
source |
7 |
| SUGI |
1986 |
Performing the X1 1ARIMA Seasonal Adjustment |
John C. Brocklebank,
David A. Dickey |
source |
10 |
| SUGI |
1986 |
Spline Functions for Logistic Regression Modeling |
Thomas F. Devlin,
Barbara J. Weeks |
source |
6 |
| SUGI |
1986 |
Tukey-Kramer and Dunnett Procedures Based on the LSMEANS Statement |
John M. Koester,
Kathleen Mellars,
Harji I. Patel |
source |
6 |
| SUGI |
1986 |
Using PROC NLIN for Time Series Prediction |
Wayne Fuller |
source |
6 |
| SUGI |
1986 |
Using SAS Software in the Design and Analysis of Two-Level Fractional Factorial Experiments |
Joanne R. Wendelberger |
source |
6 |
| SEUGI |
1985 |
New Features of the SAS/ETS and SAS/OR Software in Version 5 |
John C. Brocklebank |
source |
37 |
| SUGI |
1985 |
An Application of the SAS Macro Language in a Research Environment: A Post-processor for PROC LOGIST |
Erika Mares Stone |
source |
6 |
| SUGI |
1985 |
Comparison of Variance Estimation Methods for Complex Sample Designs Under Extreme Conditions |
Edward L. Spitznagel |
source |
5 |
| SUGI |
1985 |
Regression and Diagnostics |
Gerald R. Hobbs |
source |
8 |
| SUGI |
1985 |
Repeated Measures in Nonlinear Models |
Ronald W. Helms,
Keith E. Muller |
source |
5 |
| SUGI |
1985 |
SAS Macros for Bootstrapping and Cross Validating Regression Equations |
Richard T. Carson |
source |
6 |
| SUGI |
1985 |
Survey Design from Start to Finish |
Timothy A. Grunwald,
Samuel M. Slowinski |
source |
6 |
| SUGI |
1984 |
%Macro for Kaplan-Meier Survival Curve Estimation |
Frank E. Harrell Jr.,
Michael J. Helms,
Lawrence H. Muhlbaier |
source |
5 |
| SUGI |
1984 |
Analysis of Covariance-Models, Strategies and Interpretations |
George A. Milliken |
source |
10 |
| SUGI |
1984 |
PROC JACKREG-A SAS Procedure for Jackknife Regression |
Daniel M. Chilko,
Panayiotis Hambi,
Gerald R. Hobbs |
source |
6 |
| SUGI |
1984 |
The Use of CATMOD for Repeated Measurement Analysis of Categorical Data |
Gary G. Koch,
William M. Stanish |
source |
10 |
| SUGI |
1984 |
Using SAS Procedures to Examine Monthly Levels of Industrial Natural Gas Sales |
John H. Herbert |
source |
4 |
| SUGI |
1983 |
Automation of Estimation and Sampling Error Computations Using PROCs NASSTIM and NASSVAR |
Greg Binzer,
David Morganstein |
source |
6 |
| SUGI |
1983 |
Generalized Program for Stratification &Strata Deterioration Analysis-GPSSD.. |
Bonnie Brown Jacobson |
source |
6 |
| SUGI |
1983 |
Overview of Categorical Data Analysis Methods |
Ingrid A. Amara,
Susan Atkinson,
Gary G. Koch,
William M. Stanish |
source |
10 |
| SUGI |
1983 |
PROC MCSTRAT |
Susanne L. Daood,
James M. Naessens,
Kenneth P. Offord |
source |
8 |
| SUGI |
1983 |
SAS Methods for Balanced Repeated Replications |
Edward L. Spitznagel |
source |
4 |
| SUGI |
1983 |
SAS Methods for Standard Error of Estimate in Maximum Likelihood Factor Analysis .. |
Susanna F.M. Clarkson,
Douglas B. Clarkson |
source |
5 |
| SUGI |
1983 |
Variance Estimation from Multi-Stage Sample Survey Data: The Jackknife Repeated Replicate Approach |
William D. Kalsbeek,
James Rochon |
source |
6 |
| SUGI |
1982 |
Linear Models with Dominant Variables |
Peter S. Lufkin |
source |
6 |
| SUGI |
1982 |
PROC TETCORR: Correlations between Categorical and Continuous Variables. |
J. Philip Miller,
Michael A. Province,
Reimut Wette |
source |
4 |
| SUGI |
1982 |
SAS Program for Ratio Estimates and Their Variances from Stratified Random Sampling |
Wayne L. Cornelius |
source |
5 |
| SUGI |
1982 |
The Expected Value of Guttman's Coefficient of Reliability Based on the Multinomial Distribution |
John A. McKillip,
Janice L. Weener |
source |
|
| SUGI |
1982 |
Using SAS for Estimation and Hypothesis Testing in an Unbalanced Repeated Measure Design |
Kenneth L. Koonce,
Charles J. Monlezun,
David D. Morris |
source |
4 |
| SUGI |
1982 |
Using Spline Functions and the Bootstrap to Fit Differential Equation Models to Data |
Thomas P. Capizzi,
Robert D. Small |
source |
6 |
| SUGI |
1981 |
Estimating the Parameters of the Michaelis-Menten Equation Using SAS |
Thomas P. Capizzi,
Leonard Oppenheimer |
source |
6 |
| SUGI |
1981 |
Estimation of Fixed Effects in Mixed Models with Unbalanced Data |
Walter R. Harvey |
source |
7 |
| SUGI |
1981 |
SAS Outlier Macros: A Banking Problem |
James A. Calloway,
William L. Seaver |
source |
5 |
| SUGI |
1981 |
The Use of Least Squares Splines and Jackknifing in Area Estimation |
Thomas P. Capizzi,
Hina Mehta,
Leonard Oppenheimer |
source |
6 |
| SUGI |
1980 |
A SAS Macro for Computing the Kappa Statistic to Assess Reliability |
John Helzer,
John Rice,
Edward L. Spitznagel |
source |
5 |
| SUGI |
1980 |
n Annotated Guide to the Analysis of Linear Models Using SAS |
Rudolf J. Freund,
Ramon C. Littell |
source |
6 |
| SUGI |
1980 |
Slope Ratio Bioassay Using SAS |
Janet E. Field,
Rudolph S. Parrish,
Glenn O. Ware |
source |
|
| SUGI |
1979 |
SAS Procedures for Estimating the Parameters of the Makeham Model |
R. Clifton Bailey,
James P. Summe |
source |
2 |
| SUGI |
1977 |
Formatted Tables in SAS76 |
E. R. Delong,
M. A. Foulkes |
source |
7 |
| SUGI.ONE |
1976 |
Use of the Harvey Procedure |
Walter R. Harvey |
source |
3 |
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