| PharmaSUG CN |
2026 |
A Comprehensive R Shiny Application for Pharmacokinetic Analysis |
Keyi Zhang |
source |
17 |
| PharmaSUG |
2026 |
A Standardized R Graph Library for Production-Ready Analysis Figures |
Chunting Zheng,
Margaret Huang,
Xindai Hu |
source |
19 |
| PharmaSUG |
2026 |
Contrast Effects in Curated Observational Data |
Shankar Srinivasan,
Helen Guo,
Yvonne Buttkewitz |
source |
16 |
| PharmaSUG |
2026 |
Detecting Abnormal Page Breaks Using Grayscale Pixel-Density Analysis in R Shiny |
Yi Guo |
source |
28 |
| PharmaSUG |
2026 |
Swimmer Plots - Some Practical Advice |
Ilya Krivelevich |
source |
11 |
| PHUSE APAC |
2026 |
Summary Outputs Made Simple: A Mirror View for SAS Programmers Exploring R |
Venkata Koteswara Rao Rayala |
source
poster source |
7 |
| PHUSE EU |
2025 |
Building Reusable Precision Logic in SAS Using PROC FCMP |
Mariam Babayan,
Syuzanna Simonyan |
source
presentation source |
6 |
| PHUSE EU |
2025 |
Visualising the Invisible: Patient Journey with Waterfall, Spider and Swimmer Plots |
Varsha Mithun Patil,
Sunita Poojary |
source
presentation source |
14 |
| SESUG |
2025 |
Determine the Dimensionality of Shared Trauma Posttraumatic Professional Growth Inventory-Modified Using Factor Procedure and Parallel Analysis |
Abbas S. Tavakoli,
April Hutoo,
Phyllis Raynor |
|
10 |
| SESUG |
2025 |
Introduction to Data Simulation |
Jason Brinkley |
|
10 |
| WUSS |
2025 |
The Role of Congruity and Gendered Leadership Expectations in Higher Education: A Meta-Analysis of Bias and Leadership Evaluations Among Women Leaders |
Mehrnoosh Golshahifar |
source |
13 |
| PharmaSUG |
2025 |
Roadmap to Efficacy Analysis for Early Phase Oncology studies |
Dhruv Bansal,
Christiana Hawn,
Chris Kelly |
source |
23 |
| PharmaSUG |
2025 |
The Allowable Total Difference Zone: A construction method using the ATDzone SAS Macro |
Jesse Albert Canchola,
Natasha Oza |
source |
20 |
| PharmaSUG |
2025 |
Visualizing oncology data through 3D bar charts in R and Python |
Girish Kankipati,
Venkatesulu Salla |
source |
18 |
| PHUSE US |
2025 |
Enhancing Clinical Trial Data Queries with LLMs and Neo4j: A Flexible Framework for ADaM Dataset Management |
Jaime Yan |
source
presentation source |
28 |
| MWSUG |
2024 |
Bring Your SAS and Python Worlds Together With SASPy! [presentation] |
Ted Conway |
source |
32 |
| SESUG |
2024 |
Determine the Dimensionality of Polycystic Ovary Syndrome Health-Related Quality of Life Questionnaire (PCOSQ-50) Using Factor Procedure and Parallel Analysis |
Abbas S. Tavakoli,
Pamela J. Wright,
Robin M. Dawson |
source |
19 |
| SESUG |
2024 |
Investigating the Role of Radiomics in PET Image Analysis for Improved T-Stage Tumor Staging |
Victor Aderanti |
source |
31 |
| SESUG |
2024 |
Unveiling the Diagnostic Potential of Radiomics-Based PET and CT Imaging through Statistical and Machine Learning Techniques |
Mostafa Zahed,
Janet Kireta,
Victor Aderanti,
Maryam Skafyan |
source |
21 |
| 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 |
| PharmaSUG |
2024 |
A Simple Way to Make Adaptive Pages in Listings and Tables |
Yi Guo |
source |
9 |
| PharmaSUG |
2024 |
Bayesian Methods in Survival Analysis: Enhancing Insights in Clinical Research |
Vadym Kalinichenko |
source |
11 |
| PharmaSUG |
2024 |
Enhanced Spider Plot in Oncology |
Ilya Krivelevich,
Cixin He,
Binbin Zhang-Wiener,
Wenyin Lin |
source |
14 |
| PHUSE US |
2024 |
AI Exploration and Innovation for the Clinical Data Scientist |
Cole Arendt,
Philip Bowsher |
source
presentation source |
15 |
| PHUSE US |
2024 |
Redefining 'Interactive' Dashboards to Enhance Safety Data Review |
Andrew McGowan |
source
presentation source |
7 |
| PHUSE US |
2024 |
Risk-Based Monitoring Using AI/ML Detection of Systematic Bias in Clinical Data |
Kostiantyn Drach,
Sergey Glushakov |
source
presentation source |
12 |
| PHUSE EU |
2023 |
Size matters - sample size calculation with SAS and R |
Fenja Seither |
source
presentation source |
4 |
| WUSS |
2023 |
Univariate Outlier Detection Using SAS |
Fan Yang |
source |
12 |
| SESUG |
2023 |
How to use SAS POWER procedure to plan a study |
Xiaofeng (Steven) Liu |
source |
4 |
| SESUG |
2023 |
Longitudinal Analysis of Marital Therapy's Impact on Intimacy in Heterosexual Couples |
Yaa Awuah,
Mostafa Zahed |
source |
19 |
| SESUG |
2023 |
Wald Tests in Mixed Models - a Warning |
David A. Dickey |
source |
20 |
| PharmaSUG |
2023 |
Guidelines for the Statistical Analysis in German Dossier Submissions |
Meiling Gao,
Xi Qian,
Hui Mao |
source |
8 |
| PharmaSUG |
2023 |
Questionnaires in ADaM: ADSF36 |
Keith Shusterman,
Megan O'Grady,
Mario Widel |
source |
13 |
| PharmaSUG |
2023 |
The Effect of Bethanechol on Tracheobronchomalacia in Infants |
Chary Akmyradov |
source |
6 |
| PHUSE US |
2023 |
Database Tools Needed for Personalised Study Participant Risk Surveillance |
Martin Bauwens |
source
presentation source |
5 |
| PHUSE US |
2023 |
Generating Violin, eDISH, Box and Mean and Standard Deviation Line Graphs for Regulatory Submission: Comparison of SAS and R |
Girija Javvaji |
source
presentation source |
7 |
| PHUSE EU |
2022 |
AI_PREMie: Saving Lives of Mothers and Babies Using AI [presentation] |
Patricia Maguire,
John Curran |
source |
26 |
| PHUSE EU |
2022 |
FACT - Fast Access to Clinical Trial Insights [presentation] |
Julia Gnatek,
Steffen Vangsgaard |
source
video |
27 |
| PHUSE EU |
2022 |
Tumour Assessment Evaluation Using MS Azure and Power BI [presentation] |
Robert Adams,
Clara Beck |
source
video |
22 |
| SESUG |
2022 |
Using Parallel Analysis to Determine the Dimensionality of Students' Perspectives of Online Caring |
Abbas S. Tavakoli,
Kathrine Jones,
Phyllis Raynor |
source |
12 |
| WUSS |
2022 |
Let SAS do the work for you: Tips and tricks for turning SAS output into client-ready tables |
Becky Lien,
Sara Richter,
Lily Dunk |
source |
15 |
| WUSS |
2022 |
Study of cause and effect in medical research via SAS Statistical package |
Oleg Korovyanko |
source |
11 |
| PharmaSUG |
2022 |
A Practical Approach to Preparing Documentation for Clinical Registries |
Jennifer McGrogan,
Rex Tungala,
Mario Widel |
source |
16 |
| PharmaSUG |
2022 |
Analysis of sample size calculations in clinical trial - errors, pitfalls and conclusions |
Igor Goldfarb,
Ritu Karwal,
Xiaohua Shu |
source |
14 |
| PharmaSUG |
2022 |
Derivation of Efficacy Endpoints by iRECIST Criteria: A Practical Approach |
Ilya Krivelevich,
Lei Gao,
Richard Kennan |
source |
9 |
| PharmaSUG |
2022 |
Measuring Reproducibility and Repeatability of an AI-based Quantitative Clinical Decision Support Tool Having a Medical Decision Point |
Douglas Milikien |
source |
9 |
| PHUSE EU |
2021 |
How Has the Immunotherapy Era Changed Response Criteria? [presentation] |
Anna Amosova |
source
video |
30 |
| SESUG |
2021 |
Missing Value Imputation |
Ross Bettinger |
source |
34 |
| SESUG |
2021 |
Successful Communication with Data Phobic Audiences |
Kelly D. Smith |
source |
4 |
| 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 |
A Quantitative and Metrics-driven Framework for Maximizing Data Utility While Balancing Re-identification Risk [presentation] |
Stephen Doogan |
source
video |
18 |
| PHUSE US |
2021 |
CO Hands-on Workshop: COVID Data Access to Analysis with Power BI [presentation] |
Aditya Gadiko,
Christopher C. Hurley |
source
video |
94 |
| PharmaSUG |
2021 |
GCIG Criteria, Programming Makes It Easy |
Liming Xie,
Wei Wei |
source |
9 |
| SGF |
2021 |
Bayesian Analysis of GLMMs Using PROC BGLIMM |
Walter W. Stroup |
source
pdf |
25 |
| SGF |
2021 |
Do I Have Enough? - A Macro for Sample Size Determination in Simple and Multiple Logistic Regression |
Carl P. Wilson |
source
sas |
10 |
| SGF |
2021 |
Prediction of Parkinson's Disease With a Regression Model Using Vertical Ground Reaction Force Data |
Jin Ge,
Tianchen Xu,
Jia Guo,
Mengyu Zhang |
source
presentation |
7 |
| SGF |
2021 |
Reporting Correlation Coefficient Results and Plots: A SAS Macro That Does It All |
Zhengming Chen,
Bowen Zheng |
source
presentation |
11 |
| PHUSE EU |
2020 |
Key Performance Characteristics of the Dev-QC-Prod Process [poster] |
Andy Richardson,
Derek Hummerston |
source
video |
1 |
| 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 |
Forecasting Healthcare Statistics At the Cleveland Clinic |
Michael Bromley |
source |
10 |
| SGF |
2020 |
From Santiago to the Spirit Lake Nation: 30 Things I Learned in 30 Years as a Statistical Consultant |
AnnMaria De Mars |
source |
20 |
| SGF |
2020 |
Incorporating Auxiliary Information into Your Model Using Bayesian Methods in SAS Econometrics |
Matthew Simpson |
source |
20 |
| SGF |
2020 |
Introducing PROC SIMSYSTEM for Systematic Nonnormal Simulation |
Bucky Ransdell,
Randy Tobias |
source |
17 |
| SGF |
2020 |
Sample Size Calculations Using SAS, R, and nQuery Software |
Jenna Cody |
source |
19 |
| SGF |
2020 |
SAS Knows Good Manufacturing Practice |
Lois Wright |
source |
11 |
| SGF |
2020 |
Transdermal Medicine - Challenges and Solutions with SAS |
Marina Komaroff |
source |
14 |
| SGF |
2020 |
Using Machine Learning and Demand Sensing to Enhance Short-Term Forecasting for CPGs |
Kedar Prabhudesai |
source |
10 |
| PharmaSUG |
2020 |
Butterfly Plot for Comparing Two Treatment Responses |
Raghava Pamulapati |
source |
13 |
| PharmaSUG |
2020 |
CDISC-compliant Implementation of iRECIST and LYRIC for Immunomodulatory Therapy Trials |
Kuldeep Sen,
Sumida Urval,
Yang Wang |
source |
11 |
| PharmaSUG |
2020 |
Implementing Quality Tolerance Limits at a Large Pharmaceutical Company |
Steven A. Gilbert |
source |
13 |
| PharmaSUG |
2020 |
Simplifying the Derivation of Best Overall Response per RECIST 1.1 and iRECIST in Solid Tumor Clinical Studies |
Xiangchen (Bob) Cui,
Sri Pavan Vemuri |
source |
24 |
| PHUSE US |
2020 |
A Programmer's Journey through the BIMO Submission Process |
Raghavender Ranga |
source
presentation source |
12 |
| PHUSE US |
2020 |
Efficacy ADaMs in Oncology - Step by Step (Dataset by Dataset) |
Ilya Krivelevich,
Ran Xie |
source
presentation source |
8 |
| PHUSE US |
2020 |
R Shiny Applications Within Ophthalmology |
Julia Dedic |
source
presentation source |
8 |
| PHUSE US |
2020 |
Validation Consistency and Conformance Checking of SEND Datasets |
Isaac Mativo,
Mohit Matthew |
source
presentation source |
6 |
| PHUSE EU |
2019 |
A Data-driven and cost-effective approach towards Risk Based Monitoring |
Vineet Jain |
source
presentation source |
7 |
| PHUSE EU |
2019 |
Multiple imputation as a valid way of dealing with missing data |
Vadym Kalinichenko |
source
presentation source |
11 |
| PHUSE EU |
2019 |
Preparing Big Data for Analysis |
Thomas Ellebæk |
source
poster source |
4 |
| PHUSE EU |
2019 |
Six Sigma DMEDI Methodology: Drive and Develop Your Team |
Caroline Gray |
source
presentation source |
10 |
| SESUG |
2019 |
Data-driven Programming Techniques using SAS Macros to Semi-automate Generation of Descriptive Tables in Healthcare Research |
Katie Mercaldi |
source |
37 |
| SESUG |
2019 |
Probability Plots for Exploratory Data Analysis |
Dennis J. Beal,
Oak Ridge |
source |
8 |
| SESUG |
2019 |
Regression Models for Count Data |
Jason Brinkley |
source |
8 |
| SESUG |
2019 |
User-Defined Functions that Concatenate Statistics for Standard Reporting |
Martha Wetzel |
source |
6 |
| SESUG |
2019 |
Using SAS to examine peripheral intravenous access using ultrasound guided |
Abbas S. Tavakoli,
Courtney Prince,
Stephanie Burgess |
source |
6 |
| SESUG |
2019 |
Validating a Probability of Default model using SASEnterprise Miner Scorecard |
George Rezek |
source |
27 |
| SCSUG |
2019 |
Explore your data before you rush to analysis, you will thank me later: explorations in cross section data |
Steven C. Myers |
source |
28 |
| MWSUG |
2019 |
Explore your data before you rush to analysis, you will thank me later: explorations in cross section data |
Steven C. Myers |
|
28 |
| MWSUG |
2019 |
Logistic Regression, Basics and Beyond |
Bruce S. Lund |
|
35 |
| MWSUG |
2019 |
Sample Size and Design Considerations in Studies Assessing Non-Inferiority using Continuous Outcomes |
Michael G. Wilson |
|
19 |
| 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 |
Project Management Fundamentals for Programmers and Statisticians |
Jennifer Sniadecki |
source |
19 |
| SGF |
2019 |
Building a Propensity Score Model with SAS/STAT Software: Planning and Practice |
Michael Lamm,
Clay Thompson,
Yiu-Fai Yung |
source |
24 |
| SGF |
2019 |
Enabling SAS Forecast Server To Perform Best On Automated walmart.com Sales Forecasting |
Alexander Chobanyan,
Sangita Fatnani |
source |
9 |
| SGF |
2019 |
Monitoring the Relevance of Predictors for a Model Over Time |
Ming-Long Lam |
source |
16 |
| SGF |
2019 |
SF12v2 Health Scores for African Americans Using SAS in a Cluster-Randomized Community Trial [presentation] |
Thomas Joshua,
Lucy Marion,
Lovoria Williams,
Jane Garvin |
source |
10 |
| SGF |
2019 |
Using ETS Software for Intervention Models for Sales of Cars |
Anders Milhøj |
source |
8 |
| SGF |
2019 |
Using Parallel Analytics to Determine the Dimensionality of the Computer-Based Prostate Cancer Screen |
Abbas S. Tavakoli,
Otis L. Owens,
Nikki R. Wooten |
source |
10 |
| PHUSE US |
2019 |
Efficacy Endpoint Visualization of Investigational Products for Cancer Patients Using R Shiny |
Beverly Martinez,
Mukul K Mittal |
source
presentation source |
12 |
| PHUSE US |
2019 |
Optimizing Over Time Plots Via Analytics |
Kishore Pothuri,
Mayank Choudhary |
source
poster source |
5 |
| PHUSE EU |
2018 |
Big Datasets Seen as a Big Problem and How to Deal With Them |
Daniil Shliakhow |
source
presentation source |
5 |
| PHUSE EU |
2018 |
Overlooked Tiny Numeric Representation Errors in SAS May Lead to Substantially Misleading p-Value |
Ying Zhou,
David Haryanto |
source
presentation source |
11 |
| PHUSE EU |
2018 |
Propensity Score Matching |
Stephanie Fechtner |
source
presentation source |
9 |
| PHUSE EU |
2018 |
Sample Size: A Couple More Hints to Handle it Right Using SAS and R |
Andrii Artemchuk |
source
presentation source |
11 |
| PHUSE EU |
2018 |
Step-by-step Guide to Efficacy Analysis in Solid Tumors Oncology Clinical Trials |
Anastasiia Tiurdo |
source
presentation source |
11 |
| SESUG |
2018 |
A Quick Bite on SAS Studio Custom Tasks |
Michael Kola |
source |
29 |
| SESUG |
2018 |
Introduction to Data Simulation |
Jason Brinkley |
source |
9 |
| SESUG |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory,
Henry M. Jackson |
source |
22 |
| SESUG |
2018 |
Regression Models for Count Data |
Jason Brinkley |
source |
8 |
| SESUG |
2018 |
Table Taming - Using ODS to Simplify Data Presentation |
Emily Perry |
source |
12 |
| SESUG |
2018 |
Using SAS to test the Psychometric Properties of Computer-Based Prostate Cancer Screening Decision Aid Acceptance Scale among African-American Men |
African-American Men |
source |
7 |
| MWSUG |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
|
22 |
| MWSUG |
2018 |
Propensity Scores and Causal Inference for (and by) a Beginner |
Bruce S. Lund |
|
18 |
| MWSUG |
2018 |
Tips, Tricks, and Traps on Longitudinal Data Analysis with Discrete and Continuous Times |
Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Gray Ficker,
Gretchen Piatt |
|
20 |
| WUSS |
2018 |
Better than Average: Calculating Geometric Means Using SAS |
Kim Roenfeldt |
source |
9 |
| WUSS |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory |
source |
21 |
| WUSS |
2018 |
Oops, I D-I-D It Again! Advanced Difference-in-Differences Models in SAS |
Margaret Warton,
Melissa Parker |
source |
17 |
| WUSS |
2018 |
Survey data analysis made easy with SAS: a hands-on workshop [presentation] |
Melanie Dove,
Katherine Heck |
source |
38 |
| WUSS |
2018 |
Using PROC MCMC in a Process Control Setting: An Illustrative Example with PROC IML |
Austin R. Brown |
source |
8 |
| PHUSE US |
2018 |
A Statistics-based Tool to Inform Risk-based Monitoring Approaches |
Laura Williams,
Giulia Zardi |
source
presentation source |
8 |
| PHUSE US |
2018 |
Programmers are from Mars and Statisticians are from Venus |
Shweta Padmanaban,
Sangeetha Sathaiah |
source
presentation source |
6 |
| PharmaSUG |
2018 |
Family of PARAM***: PARAM, PARAMCD, PARAMN, PARCATy(N), PARAMTYPE |
Kamleshkumar Patel |
source |
12 |
| PharmaSUG |
2018 |
The Applications of Tolerance Intervals: Make it Easy |
Marina Komaroff |
source |
9 |
| SGF |
2018 |
Factors versus Clusters |
Diana D. Suhr |
source |
16 |
| SGF |
2018 |
How Statistically Analyzing System Behaviors with SAS Visual Analytics Revealed Unknown Data Issues |
Jessica Fraley |
source |
8 |
| SGF |
2018 |
Robust Principal Component Analysis: Two Analyses in One |
Anthony Salis,
Zohreh Asgharzadeh,
Kyungduck Cha |
source |
11 |
| SGF |
2018 |
Robust Tuning for Machine Learning |
Alex Glushkovsky |
source |
22 |
| 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 the COPULA Procedure to Simulate Multivariate Data |
Bill Qualls |
source |
8 |
| SESUG |
2017 |
Detecting Outlying Data in Proficiency Studies with SAS |
Stacey Slone |
source |
11 |
| SESUG |
2017 |
Two Sample Parametric and Nonparametric Statistical Tests for a Large Number of Comparisons Made Easy |
Dennis J. Beal,
Oak Ridge |
source |
7 |
| SESUG |
2017 |
Using SAS to Employ Propensity Score Matching in an Institutional Research Office to Create Matched Groups for Outcomes Analyses |
Bobbie E. Frye,
James E. Bartlett |
source |
19 |
| SESUG |
2017 |
Using SAS to examine the relationship between nursing attitudes towards suicidal patients in the Emergency Department (ED) |
Abbas S. Tavakoli,
Belinda Beaver,
Stephanie Burgess |
source |
6 |
| MWSUG |
2017 |
AIR Binder 2.0: A Dynamic Visualization, Data Analysis and Reporting SAS Application for Preclinical and Clinical ADME Assays, Pharmacokinetics, Metabolite Profiling and Identification |
Hao Sun,
Kristen Cardinal,
Richard Voorman |
|
26 |
| WUSS |
2017 |
Effectively Utilizing Loops and Arrays in the DATA Step |
Arthur X. Li |
source |
17 |
| WUSS |
2017 |
Variance Ratio Estimation Using the PRECMOD SAS Macro |
Jesse Albert Canchola,
Pari Hemyari |
source |
12 |
| PharmaSUG |
2017 |
AIR Binder: An Automatic Reporting and Data Analysis SAS Application for Cytochrome P450 Inhibition Assay to Investigate DDI |
Hao Sun,
Kristen Cardinal,
Carole Kirby,
Richard Voorman |
source |
8 |
| PharmaSUG |
2017 |
SAS Macro for Derivation of Best Overall Response per RECIST v. 1.1 |
Bob Zhong,
Jiangfan Li,
Hong Xie,
Peter De Porre,
Kenneth Maahs,
Kyounghwa Bae |
source |
9 |
| SGF |
2017 |
A Custom Method to Auto-load SAS LASR Tables and Longitudinally Report on ETL, DQ, and LASR Timings |
Jessica Fraley |
source |
10 |
| 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 |
Get the Tangency Portfolio Using SAS/IML |
Keshan Xia,
Peter W. Eberhardt,
Matthew J. Kastin |
source
pdf |
6 |
| SGF |
2017 |
Learning from Quality Improvement Data: Introduction to Statistical Process Control Charts |
Ruth Croxford |
source |
16 |
| SGF |
2017 |
Optimize My Stock Portfolio! A Case Study with Three Different Estimates of Risk |
Aric LaBarr |
source |
11 |
| SGF |
2017 |
The Art of Overlaying Graphs to Create Advanced Visualizations |
Vineet Raina |
source |
20 |
| SGF |
2017 |
Timing is Everything: Detecting Important Behavior Triggers |
Daymond Ling |
source |
12 |
| SCSUG |
2016 |
Ten Tips for Simulating Data with SAS |
Rick Wicklin |
source |
15 |
| SESUG |
2016 |
Dynamically Setting Decimal Precision Using PUTN |
Brandon L. Welch |
source |
6 |
| SESUG |
2016 |
Enhanced Swimmer Plots: Tell More Sophisticated Graphic Stories in Oncology Studies |
Enhanced Swimmer |
source |
13 |
| SESUG |
2016 |
Introduction to Data Simulation |
Jason Brinkley |
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 |
Sample Size Estimation with PROC FREQ and PROC POWER |
Adeline J. Wilcox |
source |
12 |
| SESUG |
2016 |
Using SAS to Examine the relationship between primary caregivers' Adverse Childhood Experiences (ACE) and Child Abuse Allegations |
Abbas S. Tavakoli,
Kate K. Chappell,
Senna Dejardins |
source |
9 |
| PHUSE EU |
2016 |
Proposal of a General Macro Framework for Propensity-score Matching [presentation] |
Holger Langkabel |
source |
23 |
| WUSS |
2016 |
Equivalence Tests |
John Amrhein,
Fei Wang |
source |
9 |
| WUSS |
2016 |
SAS Jeopardy |
Natasha Chapman |
|
46 |
| PharmaSUG |
2016 |
Best Practices: Subset Without Getting Upset |
Mary F. O. Rosenbloom,
Kirk Paul Lafler |
source |
17 |
| PharmaSUG |
2016 |
PrecMod: An Automated Precision SAS Macro for Random Effects Models |
Jesse Albert Canchola,
Pari Hemyari |
source |
15 |
| PharmaSUG |
2016 |
What makes a "Statistical Programmer" different from a "Programmer" |
Arun Raj Vidhyadharan,
Sunil Mohan Jairath |
source |
12 |
| SGF |
2016 |
Equivalence Tests |
Fei Wang,
John Amrhein |
source |
9 |
| SGF |
2016 |
Evaluation of a Customer's Life Cycle Time-to-Offer Cross-sales in a Bank, Based on the Behavior Score Using Logit Models & DTMC in SAS |
Oscar Javier Cortés Arrigui,
Miguel Angel Diaz Rodriguez |
source |
13 |
| SGF |
2016 |
PROC GLIMMIX as a Teaching and Planning Tool for Experiment Design |
Walter W. Stroup |
source
zip |
19 |
| SGF |
2016 |
The Use of Statistical Sampling in Auditing Health-Care Insurance Claim Payments |
Taylor Lewis,
Julie Johnson,
Christine Muha |
source |
18 |
| SGF |
2016 |
Tips and Strategies for Mixed Modeling with SAS/STAT Procedures |
Phil Gibbs |
source |
21 |
| SGF |
2016 |
Using SAS to Implement Simultaneous Linking in Item Response Theory |
Lili Yao |
source |
6 |
| SESUG |
2015 |
A Macro for Calculating Percentiles on Left Censored Environmental Data using the Kaplan-Meier Method |
Dennis J. Beal,
Oak Ridge |
source |
6 |
| SESUG |
2015 |
IA_CTT: A SAS Macro for Conducting Item Analysis Based on Classical Test Theory |
Yi-Hsin Chen,
Isaac Y. Li |
source |
9 |
| SESUG |
2015 |
Using SAS to Create an Effect Size Resampling Distribution for a Statistical Test |
Peter S. Wludyka |
source |
10 |
| SESUG |
2015 |
Using SAS to Examine Health Effects of Intimate Partner Violence among HIV+ Women |
Abbas S. Tavakoli,
Sabra S. Custer,
Yu Min NI |
source |
6 |
| WUSS |
2015 |
Chi-Square and T-Tests Using SAS: Performance and Interpretation |
Jennifer L. Waller,
Maribeth H. Johnson |
source |
12 |
| PharmaSUG CN |
2015 |
Effectively Utilizing Loops and Arrays in the DATA Step |
Arthur X. Li |
|
17 |
| PharmaSUG CN |
2015 |
Summary level clinical site data for data integrity review and inspection planning in NDA and BLA submission [presentation] |
Jingwei Gao,
Nancy Bauer |
|
41 |
| PharmaSUG |
2015 |
Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad |
Arthur L. Carpenter |
source |
9 |
| PharmaSUG |
2015 |
Two different use cases to obtain best responses using RECIST 1.1: SDTM and ADaM |
Kevin Lee,
Vikash Jain |
source |
17 |
| SGF |
2015 |
Adaptive Randomization Using PROC MCMC |
Qianyi Huang,
John Amrhein |
source |
13 |
| SGF |
2015 |
Analysis of Survey Data Using the SAS SURVEY Procedures: A Primer |
Patricia A. Berglund |
source |
19 |
| SGF |
2015 |
Best Practices: Subset Without Getting Upset |
Mary F. O. Rosenbloom,
Kirk Paul Lafler |
source |
17 |
| SGF |
2015 |
Chi-Square and T-Tests Using SAS: Performance and Interpretation |
Jennifer L. Waller,
Maribeth H. Johnson |
source |
12 |
| SGF |
2015 |
How to Implement Two-Phase Regression Analysis to Predict Profitable Revenue Units [presentation] |
Shrey Tandon |
source |
15 |
| SGF |
2015 |
Imputing Missing Data using SAS |
Christopher Yim |
source |
9 |
| SGF |
2015 |
Learning Analytics to Evaluate and Confirm Pedagogic Choices |
Richard Self |
source |
13 |
| SGF |
2015 |
SAS for Six Sigma - An Introduction |
Daniel R. Bretheim |
source |
32 |
| SGF |
2015 |
Selection and Transformation of Continuous Predictors for Logistic Regression |
Bruce S. Lund |
source |
16 |
| SGF |
2015 |
Statistical Evaluation of the Doughnut Clustering Method for Product Affinity Segmentation |
Darius S. Baer,
Goutam Chakraborty |
source
zip |
12 |
| SGF |
2015 |
Ten Tips for Simulating Data with SAS |
Rick Wicklin |
source
zip |
15 |
| SGF |
2015 |
Using SAS/STAT Software to Implement a Multivariate Aadaptive Outlier Detection Approach to Distinguish Outliers from Extreme Values |
Paulo Macedo |
source |
12 |
| SCSUG |
2014 |
Selection and Transformation of Continuous Predictors for Logistic Regression |
Bruce S. Lund |
|
13 |
| SESUG |
2014 |
Evaluating Additivity of Health Effects of Exposure to Multiple Air Pollutants Given Only Summary Data |
Pollutants Given |
source |
9 |
| SESUG |
2014 |
Using Regression Model to Predict Cyclic Resistance Ratio at South Carolina Coastal Plain (SCCP) |
Emad Gheibi,
Sarah L. Gassman,
Abbas S. Tavakoli |
source |
10 |
| SESUG |
2014 |
Using SAS to Create a p-value Resampling Distribution for a Statistical Test |
Peter S. Wludyka |
source |
12 |
| SESUG |
2014 |
Using SAS/STAT to implement a multivariate adaptive outlier detection approach to distinguish outliers from extreme values |
Paulo Macedo |
source |
11 |
| PHUSE EU |
2014 |
Oncology Efficacy Endpoints |
Sarah Berenbrick |
source
presentation source |
3 |
| 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 |
Unuttered Questions of Statistical Programmers |
Aparajita Dey |
source
presentation source |
10 |
| MWSUG |
2014 |
Prediction Improvement from Geostatistical Methodology in Regression Modeling For Census Tract Data |
Robert G. Downer |
|
10 |
| MWSUG |
2014 |
PROC SQL for DATA Step Die-Hards |
Christianna S. Williams |
|
22 |
| MWSUG |
2014 |
Selection and Transformation of Continuous Predictors for Logistic Regression |
Bruce S. Lund |
|
12 |
| MWSUG |
2014 |
Use of Social Media Data to Predict Retail Sales Performance |
Li Zhang |
|
13 |
| PharmaSUG CN |
2014 |
Monitoring Child Growth and Safety Profile using Growth Charts |
Rajesh Babu Moorakonda,
Mihir Gandhi |
|
9 |
| WUSS |
2014 |
Best Practices: Subset Without Getting Upset |
Mary F. O. Rosenbloom,
Kirk Paul Lafler |
source |
17 |
| PharmaSUG |
2014 |
%ME: A SAS Macro to Assess Measurement Equivalence for Patient-Reported Outcome Measures |
Qinlei Huang |
source |
8 |
| PharmaSUG |
2014 |
A SAS Macro to Evaluate Balance after Propensity Score Matching |
Erin Hulbert,
Lee Brekke |
source |
12 |
| PharmaSUG |
2014 |
D is for Dynamic, putting Dynamic back into CDISC (A simple macro utilizing PROC SQL which auto-formats continuous variables for lab tables) |
Steven C. Black |
source |
9 |
| PharmaSUG |
2014 |
Defining Non-Inferiority Margins for Skin Adhesion Studies |
Marina Komaroff,
Sailaja Bhaskar |
source |
12 |
| SGF |
2014 |
A SAS Macro to Diagnose Influential Subjects in Longitudinal Studies |
Grant Schneider,
Randy Tobias |
source
zip |
18 |
| SGF |
2014 |
Analyzing U.S. Healthcare Cost and Use with SAS |
Paul Gorrell |
source |
17 |
| SGF |
2014 |
CMS Core Measures, the Affordable Care Act, and SAS Visual Analytics |
Joe Whitehurst,
Diane Hatcher |
source |
16 |
| SGF |
2014 |
Effectively Utilizing Loops and Arrays in the DATA Step |
Arthur X. Li |
source |
17 |
| SGF |
2014 |
Healthcare Services Data Distribution, Transformation, and Model Fitting |
Dawit Mulugeta,
Jason Greenfield,
Tison Bolen,
Lisa Conley |
source |
22 |
| SGF |
2014 |
Measures of Fit for Logistic Regression |
Paul D. Allison |
source |
12 |
| SGF |
2014 |
Non-Empirical Modeling: Incorporating Expert Judgment as a Model Input [presentation] |
John Parker |
source |
20 |
| SGF |
2014 |
Plotting Differences Among LS-means in Generalized Linear Models |
Robin High |
source |
14 |
| SGF |
2014 |
Power and Sample Size for MANOVA and Repeated Measures with the GLMPOWER Procedure |
John M. Castelloe |
source |
20 |
| SGF |
2014 |
Selecting Peer Institutions with Cluster Analysis |
Diana D. Suhr |
source |
12 |
| SGF |
2014 |
Simulating Portfolio Losses from Adverse Events: Applications to the Insurance and Finance Industries |
Mahesh V. Joshi,
Jan Chvosta |
source
zip |
20 |
| SGF |
2014 |
Summarizing Data for a Systematic Review |
Ravi Gaddameedi,
Usha Kreaden |
source |
6 |
| SGF |
2014 |
Turn Your SAS Macros into Microsoft Excel Functions with the SAS Integrated Object Model and ADO |
Chris Brooks |
source |
17 |
| SGF |
2014 |
Using SAS to Examine Internal Consistency and to Develop Community Engagement Scores |
Renee Gennarelli,
Melody S. Goodman |
source |
10 |
| WUSS |
2013 |
A Quick and Dirty Descriptive Data Summary |
Nora Ruel,
Rebecca Nelson |
source |
12 |
| WUSS |
2013 |
Matching with Hash Objects |
Gregory Watson |
source |
6 |
| WUSS |
2013 |
Using PROC ARIMA to Model Trends in US Home Prices |
Ross Bettinger |
source |
13 |
| SESUG |
2013 |
Analytical Approach for Bot Cheating Detection in a Massive Multiplayer Online Racing Game |
Andrea Villanes |
source |
10 |
| SESUG |
2013 |
Area under a Receiving Operating Characteristic (ROC) Curve: comparing parametric estimation, Monte Carlo simulation and numerical integration |
Receiver Operating Characteristic |
source |
16 |
| SESUG |
2013 |
Chi-Square and T-Tests Using SAS: Performance and Interpretation |
Jennifer L. Waller,
Maribeth H. Johnson |
source |
12 |
| 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 |
GLIMMIX_Rasch: A SAS Macro for Fitting the Dichotomous Rasch Model |
Yi-Hsin Chen |
source |
10 |
| SESUG |
2013 |
How Many Licks to the Center of that Column? |
Spencer Childress |
source |
3 |
| SESUG |
2013 |
RUN_MACRO Run! With PROC FCMP and the RUN_MACRO Function from SAS 9.2, Your SAS Programs Are All Grown Up |
Dylan Ellis,
Mathematica Policy |
source |
10 |
| PHUSE EU |
2013 |
Crafting Clinical Reports with Stone-Age Tools [presentation] |
David J. Garbutt,
Magnus Mengelbier |
source |
15 |
| MWSUG |
2013 |
Analyzing Categorical Variables from Complex Survey Data Using PROC SURVEYFREQ |
Taylor Lewis |
|
20 |
| MWSUG |
2013 |
Analyzing Continuous Variables from Complex Survey Data Using PROC SURVEYMEANS |
Taylor Lewis |
|
14 |
| MWSUG |
2013 |
Dealing with Data below the Detection Limit: Limit Estimation and Data Modeling |
Mark Bailey,
Diane K. Michelson |
|
21 |
| MWSUG |
2013 |
Effectively Utilizing Loops and Arrays in the DATA Step |
Arthur X. Li |
|
17 |
| MWSUG |
2013 |
Logistics Performance Metrics using SAS Macros |
Michael C. Frick |
|
9 |
| NESUG |
2013 |
Analyzing Continuous Variables from Complex Survey Data Using PROC SURVEYMEANS |
Taylor Lewis |
|
15 |
| NESUG |
2013 |
Understanding the outliers in healthcare expenditure data |
Gandhi Bhattarai |
|
15 |
| PharmaSUG |
2013 |
Effectively Utilizing Loops and Arrays in the DATA Step |
Arthur X. Li |
source |
17 |
| PharmaSUG |
2013 |
Numeric and Decimal Place Alignment in RTF Files with Non-Monospaced Fonts |
Gary E. Moore |
source |
6 |
| PharmaSUG |
2013 |
Obesity and Weight Cycling: Use SAS Software for Epidemiological Studies |
Marina Komaroff |
source |
12 |
| SGF |
2013 |
Calculating Subset-Weighted Analysis in PROC SURVEYFREQ and PROC GENMOD |
David M. Thompson,
Jessica Hale,
Paul Darden |
source
pdf |
7 |
| SGF |
2013 |
Chi-Square and T-Tests Using SAS: Performance and Interpretation |
Jennifer L. Waller,
Maribeth H. Johnson |
source |
12 |
| SGF |
2013 |
Growth Spline Modeling |
Eric Day,
Matthew Schuelke,
Robert Terry |
source
pdf |
9 |
| SGF |
2013 |
Predicting Health Care Expenditures with the MCMC Procedure |
Gregory Watson |
source |
12 |
| SGF |
2013 |
Product Affinity Segmentation That Uses the Doughnut Clustering Approach |
Darius S. Baer,
Goutam Chakraborty |
source |
17 |
| SGF |
2013 |
RUN_MACRO Run! With PROC FCMP and the RUN_MACRO Function from SAS 9.2, Your SAS Programs Are All Grown Up |
Dylan Ellis |
source |
10 |
| SGF |
2013 |
SAS Tools for Transparent and Reproducible Research: Medication History Estimator |
Brian Sauer,
Tao He |
source |
10 |
| SGF |
2013 |
The Hospital Game: Optimizing Surgery Schedules to Save Resources, and to Save Lives |
Andrew S. Pease,
Ayesgul Peker |
source |
14 |
| SGF |
2013 |
Using PROC FORMAT and Other Little Tweaks to Enable PROC TABULATE?s Hidden Capabilities of Optimizing Statistical Reporting View Paper View Poster |
Heli Ghandehari,
Victor Lopez |
source
pdf |
4 |
| NESUG |
2012 |
Generating Estimates for U.S. Healthcare Costs and Use |
Paul Gorrell |
|
18 |
| NESUG |
2012 |
PROC SQL for DATA Step Die-Hards |
Christianna S. Williams |
|
20 |
| NESUG |
2012 |
SAS for Six Sigma - An Introduction |
Daniel R. Bretheim |
|
32 |
| NESUG |
2012 |
Using SAS to Test, Probe and Display Interaction Effects in Regression |
Timothy Gravelle |
|
16 |
| SCSUG |
2012 |
Application of SAS in Product Testing in Retail Business |
Steven Yan |
source |
7 |
| SCSUG |
2012 |
Two Methods to Merge Data onto Every Observation in Another Dataset |
Lisa A. Mendez |
source |
11 |
| PHUSE EU |
2012 |
"Bertha.sas" - User Friendly Ways to get Traceability |
Elena Glathe |
source
presentation source |
28 |
| PHUSE EU |
2012 |
A Simple Interface for Meta-Data [presentation] |
Magnus Mengelbier |
source |
18 |
| 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 |
How to Perform and Interpret Chi-Square and T-Tests |
Jennifer L. Waller |
source |
14 |
| SESUG |
2012 |
Let the Data Paint the Picture: Data-Driven, Interactive, and Animated Visualizations Using SAS, Java and the Processing Graphics Library |
Patrick Hall,
Ryan Snyder |
source |
11 |
| SESUG |
2012 |
Multiple Imputation for Ordinal Variables: A Comparison of SUDAAN's PROC IMPUTE vs. PROC MI |
Multiple Imputation |
source |
12 |
| SESUG |
2012 |
SPC Data Visualization of Seasonal and Financial Data Using JMP |
Diane K. Michelson |
source |
9 |
| SESUG |
2012 |
Tips and Strategies for Mixed Modeling with SAS/STAT Procedures |
Kathleen Kiernan,
Jill Tao,
Phil Gibbs |
source |
18 |
| MWSUG |
2012 |
Combined Forecasts: What to Do When One Model Isn't Good Enough |
Ed Blair,
Michael J. Leonard,
Bruce Elsheimer |
|
14 |
| MWSUG |
2012 |
Effectively Utilizing Loops and Arrays in the DATA Step |
Arthur X. Li |
|
17 |
| MWSUG |
2012 |
Tips and Strategies for Mixed Modeling with SAS/STAT Procedures |
Kathleen Kiernan,
Jill Tao,
Phil Gibbs |
|
18 |
| WUSS |
2012 |
Exploratory Factor Analysis with the World Values Survey |
Diana D. Suhr |
source |
19 |
| WUSS |
2012 |
Power Analysis: What is Available and What You Need to Know |
Gerry Hobbs |
source |
11 |
| WUSS |
2012 |
Sample Size Calculation and Power Analysis for Design of Experiments Using Proc Glmpower |
Chii Dean |
source |
10 |
| WUSS |
2012 |
The Steps to Follow in a Multiple Regression Analysis |
Theresa H. Ngo |
source |
12 |
| PharmaSUG |
2012 |
Application of Meta-Analysis in Clinical Trials |
Marina Komaroff |
source |
7 |
| PharmaSUG |
2012 |
Determining and Reporting Significant Decimal Places for Continuous Data in Mixed Form |
Gary E. Moore |
source |
6 |
| 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 |
| SGF |
2012 |
A Generalized Approach to Estimating Sample Sizes |
Wuchen Zhao,
Arthur X. Li |
source |
7 |
| SGF |
2012 |
A Macro to Summarize and Generate a Report of Variables on a SAS Data Set |
Greg A. Grandits,
Greg Thompson |
source |
4 |
| SGF |
2012 |
Are You in Need of Validation? Psychometric Evaluation of Questionnaires Using SAS |
Eric P. Elkin |
source |
9 |
| SGF |
2012 |
Combined Forecasts: What to Do When One Model Isn't Good Enough |
Ed Blair,
Michael J. Leonard,
Bruce Elsheimer |
source |
14 |
| SGF |
2012 |
Comparing Stock Returns Forecasting Methods Using SAS |
Wei Wang,
Arthur X. Li |
source |
8 |
| SGF |
2012 |
Defining the Development Process and Governance of Implementing ADaM within an Organization |
Chris Decker |
source |
11 |
| SGF |
2012 |
Exploratory Factor Analysis with the World Values Survey |
Diana D. Suhr |
source |
19 |
| 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 |
How to Perform and Interpret Chi-Square and T-Tests |
Jennifer L. Waller |
source |
20 |
| SGF |
2012 |
Introduction to Predictive Modeling with Examples |
David A. Dickey |
source |
14 |
| SGF |
2012 |
Let the Data Paint the Picture: Data-Driven, Interactive, and Animated Visualizations Using SAS, Java and the Processing Graphics Library |
Ryan Snyder,
Patrick Hall |
source |
11 |
| SGF |
2012 |
Mix and Match: Diversity in Displaying Data |
Melissa Hill,
Julie Kezik |
source |
12 |
| SGF |
2012 |
Simplifying the Analysis of Complex Survey Data Using the SAS Survey Analysis Procedures |
Varma Nadimpalli,
Katie A. Hubbell |
source |
14 |
| SGF |
2012 |
Tips and Strategies for Mixed Modeling with SAS/STAT Procedures |
Kathleen Kiernan,
Jill Tao,
Phil Gibbs |
source |
18 |
| SCSUG |
2011 |
When It's Not Random Chance: Creating Propensity Scores Using SAS EG |
Josie Brunner |
source |
13 |
| WUSS |
2011 |
Estimating Sample Size through Simulations |
Wuchen Zhao |
source |
6 |
| WUSS |
2011 |
Power Analysis: What is Available and What You Need to Know |
Gerry Hobbs |
source |
11 |
| WUSS |
2011 |
SAS Essentials I: SAS Functions for a Better Functioning Community |
AnnMaria De Mars |
source |
15 |
| WUSS |
2011 |
SAS Essentials III: Statistics for Hamsters |
AnnMaria De Mars |
source |
18 |
| PHUSE EU |
2011 |
Defining the Governance and Process of Implementing ADaM across an Organization |
Chris Decker |
source
presentation source |
11 |
| MWSUG |
2011 |
Interpreting the Differences Among LSMEANS in Generalized Linear Models |
Robin High |
|
11 |
| MWSUG |
2011 |
The Effects of Previous Trial Validity on the Gaze Cuing Effect: A Meta-Analysis |
Deanna Naomi Schreiber-Gregory |
|
6 |
| MWSUG |
2011 |
Using a Double DOW Loop to Compute Progression Free Survival |
Matthew Nizol |
|
9 |
| NESUG |
2011 |
Geometric Statistics in PK Analysis - Programmeres Perspective |
Niraj J. Pandya,
Smitha Mullapudi |
|
4 |
| NESUG |
2011 |
PROC REPORT: Various Reporting Layouts in Clinical Study Reports and Advance Techniques |
Santosh Bari |
|
6 |
| NESUG |
2011 |
PROC SQL for DATA Step Die-Hards |
Christianna S. Williams |
|
22 |
| PharmaSUG |
2011 |
Estimating Sample Size through Simulations |
Wuchen Zhao,
Arthur X. Li |
source |
6 |
| PharmaSUG |
2011 |
Scatter Charts of Serial Observations with Proc SGPLOT and Graphics Template Language |
Anthony L. Feliu |
source |
20 |
| SGF |
2011 |
Consumer Data Analytics: The Good, the Bad, and the Possibly Deceptive |
William Neafsey,
Ted Lang |
source |
11 |
| SGF |
2011 |
Eliminating Response Style Segments in Survey Data via Double Standardization before Clustering |
Murali Krishna Pagolu,
Goutam Chakraborty |
source |
15 |
| SGF |
2011 |
Evaluating the Effectiveness of a Calcium Nutrition Educational Intervention for Middle School Students in Las Vegas, Nevada, Using SAS |
Ryan Fernandez |
source |
13 |
| 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 |
Small Area Estimation for Survey Data Analysis Using SAS Software |
Pushpal K. Mukhopadhyay,
Allen McDowell |
source |
19 |
| SGF |
2011 |
Windows Application Using .NET and SAS to Produce Custom Rater Reliability Reports |
Sailesh Vezzu |
source |
13 |
| NESUG |
2010 |
Survey Analysis: Options for Missing Data |
Paul Gorrell |
|
10 |
| NESUG |
2010 |
The Quest for Causation: An Introduction to Correlation and Regression Analysis |
Ian Stockwell |
|
9 |
| NESUG |
2010 |
Windows Application Using .NET and SAS to Produce Custom Rater Reliability Reports |
Sailesh Vezzu |
|
14 |
| SCSUG |
2010 |
A SAS Primer for Health Care Data Analysts |
Christopher W. Schacherer |
source |
24 |
| WUSS |
2010 |
An Introduction to Statistical Tests for the SAS Programmer |
Sara Beck |
source |
10 |
| WUSS |
2010 |
Lean Sigma for Process Improvement - Overview and Implementation |
Doug E. Lassman |
source |
7 |
| WUSS |
2010 |
PROC MEANS versus PROC SQL for Descriptive Statistics Generation of Weighted Data |
Keiko I. Powers |
source |
9 |
| WUSS |
2010 |
Rediscovering SAS/IML Software: Modern Data Analysis for the Practicing Statistician |
Rick Wicklin |
source |
18 |
| WUSS |
2010 |
Statistical Analysis - The First Steps |
Jennifer L. Waller |
source |
20 |
| MWSUG |
2010 |
A SAS Primer for Health Care Data Analysts |
Christopher W. Schacherer,
Brent D. Westra |
|
24 |
| MWSUG |
2010 |
Characteristic Analysis of the Hospitalized Children with Lower Extremity Fractures in 2006: A Population-Based Approach |
Yubo Gao |
|
8 |
| MWSUG |
2010 |
Comparing JMP and SAS for Validating Clinical Trials |
Sandra D. Schlotzhauer |
|
18 |
| MWSUG |
2010 |
JMP Simulation-Based Empirical Determination of Robust Scale Estimator and Comparison of Outlier Discrimination Performance |
Gennadiy Gorelik,
Tarun Chandra |
|
8 |
| MWSUG |
2010 |
Kernel Density Estimation As an Alternative to Binning of Survey Data |
David J. Corliss |
|
6 |
| MWSUG |
2010 |
More To It Than Meets the Eye: Creating Custom Legends That Really Tell a Story |
Peter J. Lund |
|
15 |
| MWSUG |
2010 |
PROC MIXED: Underlying Ideas with Examples |
David A. Dickey |
|
19 |
| MWSUG |
2010 |
Stuff We All Do: Mistakes We've Made That You Won't Have To |
Joe Novotny,
Michael P.D. Bramley |
|
13 |
| 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 |
Statistical Analysis - The First Steps |
Jennifer L. Waller |
source |
20 |
| SESUG |
2010 |
The MEANS/SUMMARY Procedure: Getting Started |
Arthur L. Carpenter |
source |
10 |
| SGF |
2010 |
Applications of PROC ESM in SAS 9.2 |
Anders Milhøj |
source |
11 |
| SGF |
2010 |
BootstrapMania!: Re-sampling the SAS Way |
David L. Cassell |
source |
11 |
| SGF |
2010 |
KML Macro: Integrating SAS and Google API and Its Application in Mapping Manitoba's Health Data on Google Earth and Google Map |
Mahmoud Azimaee |
source |
15 |
| SGF |
2010 |
Practicalities of Using ESTIMATE and CONTRAST Statements |
David J. Pasta |
source |
20 |
| SGF |
2010 |
Rediscovering SAS/IML Software: Modern Data Analysis for the Practicing Statistician |
Rick Wicklin |
source |
18 |
| SGF |
2010 |
SAS Presents In-Database Base Procedures in Practice |
Scott Mebust,
Robert S. Ray |
source |
25 |
| SGF |
2010 |
The MEANS/SUMMARY Procedure: Getting Started |
Arthur L. Carpenter |
source |
10 |
| SGF |
2010 |
Using New JMP Interactive Modules to Teach Concepts in Introductory Statistics |
Amy G. Froelich,
William M. Duckworth |
source |
9 |
| SCSUG |
2009 |
Risk-Based Portfolio Optimization Using SAS |
Wei Chen |
|
11 |
| PHUSE EU |
2009 |
Analysis of a 3-period 2-treatment pharmacokinetic study to assess scaled average bioequivalence |
Jochen Müller-Cohrs |
source |
11 |
| PHUSE EU |
2009 |
On the use of spreadsheets for statistical analysis |
Martin Gregory |
source |
7 |
| PHUSE EU |
2009 |
Providing Historical Control Data for Toxicology With the SAS Stored Processes Web Application |
Volker Harm |
source |
11 |
| PNWSUG |
2009 |
The MEANS/SUMMARY Procedure: Getting Started and Doing More |
Arthur L. Carpenter |
|
19 |
| NESUG |
2009 |
A Generalized Procedure to Create SAS/Graph Error Bar Plots |
Sanjiv Ramalingam |
|
10 |
| NESUG |
2009 |
PROC SQL for DATA Step Die-Hards |
Christianna S. Williams |
|
19 |
| NESUG |
2009 |
Survey Analysis: Options for Missing Data |
Paul Gorrell |
|
11 |
| WUSS |
2009 |
A Biometric Analysis of Twin Data Using PROC MIXED |
Mo Zheng |
source |
8 |
| WUSS |
2009 |
Guidelines for Reliability, Confirmatory and Exploratory Factor Analysis |
Diana D. Suhr,
Mary Shay |
source |
15 |
| WUSS |
2009 |
Solving Your Problems with SAS Enterprise Guide: SAS without Programming |
AnnMaria De Mars |
source |
18 |
| PharmaSUG |
2009 |
A Generalized Procedure to Create SAS/Graph Error Bar Plots |
Sanjiv Ramalingam |
|
10 |
| PharmaSUG |
2009 |
Statistics for Clinical Trial SAS Programmers 1: paired t-test |
Kevin Lee |
|
6 |
| PharmaSUG |
2009 |
TT05 The MEANS/SUMMARY Procedure |
Arthur L. Carpenter |
|
10 |
| SGF |
2009 |
Bayesian Modeling Using the MCMC Procedure |
Fang K. Chen |
source |
22 |
| SGF |
2009 |
Risk-Based Portfolio Optimization Using SAS |
Wei Chen |
source |
11 |
| SGF |
2009 |
SAS Enterprise Guide for the Business Analyst |
Lina Clover |
source |
11 |
| SGF |
2009 |
Talking Past Each Other? How to Communicate with Medical Writers When Preparing Clinical Research Manuscripts for Journal Submission |
Scott C. Thompson,
Stephanie R. Thompson |
source |
7 |
| SGF |
2009 |
The Problem of Regression Assumptions and the Use of Predictive Modeling |
Patricia B. Cerrito |
source |
20 |
| SGF |
2009 |
Using SAS to Analyze System Performance Metrics |
Chris Helwig |
source |
9 |
| WUSS |
2008 |
The MEANS/SUMMARY Procedure: Getting Started and Doing More |
Arthur L. Carpenter |
source |
19 |
| WUSS |
2008 |
Using PROC REPORT to Describe Case and Control Comparisons |
Sara Yuewen Gao |
source |
10 |
| SESUG |
2008 |
Health Status and Attitudes Towards Health in Medical Expenditure Panel Survey (MEPS) Sample Population |
Pramit Nadpara |
source |
6 |
| SESUG |
2008 |
Techniques for Evidence-Based Decision Making Using SAS |
Ian Stockwell |
source |
8 |
| PHUSE EU |
2008 |
RECIST Temptation |
Paul Jenkins |
source |
8 |
| PHUSE EU |
2008 |
Statistics for Non-Statisticians |
Shambhavi Nayak |
source |
10 |
| MWSUG |
2008 |
Visualization and the Improvement of Anodized Parts Using JMP |
Philip J. Ramsey,
Marie A. Gaudard,
Mia L. Stephens |
|
42 |
| PNWSUG |
2008 |
More To It Than Meets the Eye: Creating Custom Legends That Really Tell a Story |
Peter J. Lund |
|
16 |
| NESUG |
2008 |
A Tiptoe Through the Tagset Field |
Mike Molter |
|
23 |
| NESUG |
2008 |
An Introduction to the SAS Survey Analysis PROCs |
Xiuhua Chen,
Paul Gorrell |
|
17 |
| NESUG |
2008 |
Analyzing Laboratory Assay Data for Accuracy |
Sara Hickson,
Jeanne Sparrow |
|
13 |
| NESUG |
2008 |
Guido's Guide to PROC MEANS - A Tutorial for Beginners Using the SAS System |
Joseph J. Guido |
|
11 |
| NESUG |
2008 |
Talking Past Each Other? How to Communicate with Medical Writers When Preparing Clinical Research Manuscripts for Journal Submission |
Scott C. Thompson,
Stephanie R. Thompson |
|
7 |
| PharmaSUG |
2008 |
%YAMGAST: Yet Another Macro to Generate a Summary Table |
Zang Xiong,
St. Jude Children's |
|
10 |
| PharmaSUG |
2008 |
Statistical Approach to Establishing Bioequivalence |
William F. McCarthy,
Nan Guo |
|
12 |
| SGF |
2008 |
A Tiptoe Through the Tagset Field |
Michael J. Molter |
source |
23 |
| 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 |
Introduction to Correlation and Regression Analysis |
Ian Stockwell |
source |
8 |
| SGF |
2008 |
Pricing of Options Using Hybrid Artificial Neural Networks |
Anant Saxena |
source |
25 |
| SGF |
2008 |
PROC MIXED: Underlying Ideas with Examples |
David A. Dickey |
source |
18 |
| SGF |
2008 |
PROC SQL for DATA Step Die-Hards |
Christianna S. Williams |
source |
17 |
| NESUG |
2007 |
A Tiptoe Through the Tagset Field |
Mike Molter |
|
23 |
| NESUG |
2007 |
Histogram of Numeric Data Distribution from the UNIVARIATE Procedure |
Chauthi Nguyen |
|
7 |
| NESUG |
2007 |
Presentation and Handling of Clinical Laboratory Data -- From Test Tube to Table |
Randall Carlson,
Nate Freimark |
|
13 |
| NESUG |
2007 |
Reinventing a Legacy System with SAS, the Web, and OLAP Reporting |
Andrew P. Ford,
Troy B. Wolfe,
Shiva Srinivasan |
|
15 |
| NESUG |
2007 |
Revising Output from the TABULATE Procedure |
Michael F. Tuchman |
|
18 |
| SESUG |
2007 |
PROC MIXED: Underlying Ideas with Examples |
David A. Dickey |
source |
19 |
| SESUG |
2007 |
ROBUST_ES: A SAS Macro for Computing Robust Estimates of Effect Size |
Jeffrey D. Kromrey,
Kevin B. Coughlin |
source |
16 |
| WUSS |
2007 |
Statistical Inference Illustrated |
Richard R. Allen |
source |
19 |
| PHUSE EU |
2007 |
Bootstrapping in a replicative bioequivalence study |
Feryal Tanriverdio,
Arne Ring |
source |
11 |
| PNWSUG |
2007 |
An Introduction to Statistical Power Calculations for Linear Models with SAS 9.1 |
Robin High |
|
17 |
| PharmaSUG |
2007 |
A Review of Propensity Score Application in Healthcare Outcome and Epidemiology |
Guiping Yang |
|
24 |
| PharmaSUG |
2007 |
SAS Macros to Detect and Evaluate Statistical Outliers |
Marek K. Solak |
|
8 |
| SGF |
2007 |
Calculating Statistics Using PROC MEANS versus PROC SQL |
Jyotheeswara N. Yellanki |
source |
8 |
| SGF |
2007 |
CRSP Indices in SAS |
Taras Zlupko |
source |
12 |
| SGF |
2007 |
Latent Class Analysis in SAS-Promise, Problems, and Programming |
David M. Thompson |
source |
12 |
| SGF |
2007 |
Learning What You Didn't Know about Your Data |
Larry W. Douglass |
source |
16 |
| SGF |
2007 |
Using SAS PROC NLMIXED for Robust Regression |
Steven A. Chen,
Lingyun Gilbert |
source |
9 |
| PNWSUG |
2006 |
You Can't Stop Statistics: SAS/STAT Software Keeps Rolling Along |
Maura E. Stokes,
Robert N. Rodriguez |
|
32 |
| PHUSE EU |
2006 |
Adding (p-) Value to Tables -- a Programmer''s Perspective |
Kathryn Wright |
source |
10 |
| PHUSE EU |
2006 |
Some Basic Statistics for Non-Statisticians |
Gary S. Stevens |
source |
6 |
| SESUG |
2006 |
Generating Multivariate Normal Data by Using PROC IML |
Lingling Han |
source |
6 |
| SESUG |
2006 |
WATER USAGE DISTRIBUTION AND ITS RELATION WITH INCOME USING SAS AND ARCGIS |
Fariba Nowrouzi Kashan |
source |
10 |
| WUSS |
2006 |
Easy Methods to Investigate Large Datasets Using ODS Graphics and New Features in SAS 9 |
Aimee Foreman,
Miriam G. Cisternas |
source |
10 |
| WUSS |
2006 |
Getting Your Random Sample In PROC SQL |
Richard Severino |
source |
14 |
| NESUG |
2006 |
Data Analysis: Beyond the Basics |
Ian Stockwell |
|
9 |
| NESUG |
2006 |
Linking SAS Analytics, U.S. Census Gazetteer Data and ArcView Geocoding Software for Medicare Fraud Screening |
Laurie Hamilton |
|
10 |
| NESUG |
2006 |
Using SAS to Analyze the Summary Data |
Zhenyi Xue |
|
6 |
| NESUG |
2006 |
Using SAS to Find Bootstrap Estimates of Field Air Sampling Data |
James Slaven,
David Bartley,
Mike Rose,
Martin Harper,
Michael Andrew |
|
4 |
| NESUG |
2006 |
You Can't Stop Statistics |
Maura E. Stokes,
Robert N. Rodriguez |
|
32 |
| PharmaSUG |
2006 |
How to Get Upper (or Lower) Error Bars with INTERPOL=HILOCTJ? |
Adeline Yeo |
|
4 |
| PharmaSUG |
2006 |
Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad |
Arthur L. Carpenter |
|
9 |
| SUGI |
2006 |
A Powerful Macro to Control Title Appearance in SAS/GRAPH Output |
Louie Huang |
source |
8 |
| SUGI |
2006 |
An Evaluation of Splines in Linear Regression |
Deborah M. Hurley,
James Hussey,
Robert McKeown,
Cheryl L. Addy |
source |
11 |
| SUGI |
2006 |
FREQ n' MEANS |
Marge Scerbo,
Michael S. Lajiness |
source |
19 |
| SUGI |
2006 |
Getting Your Random Sample In PROC SQL |
Richard Severino |
source |
14 |
| SUGI |
2006 |
Litigation Data Analysis/Auditing/ETL for BI: Triplets Separated at Birth |
Nicholson E. Warman |
source |
15 |
| SUGI |
2006 |
MDIRT-FIT: SAS Macros for Fitting Multidimensional Item Response |
Sung-Hyuck Lee |
source |
9 |
| SUGI |
2006 |
Modeling Water Quality Trend in Long Term Time Series |
Anpalaki J. Ragavan,
George C. J. Fernandez |
source |
10 |
| SUGI |
2006 |
Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad |
Arthur L. Carpenter |
source |
9 |
| SUGI |
2006 |
title=Like Wine, the TTEST Procedure Improves with Age |
John M. Castelloe,
Randall D. Tobias |
source |
14 |
| SUGI |
2006 |
You Can't Stop Statistics |
Maura E. Stokes,
Robert N. Rodriguez |
source |
32 |
| PHUSE EU |
2005 |
A Practical Introduction to the Bootstrap Using the SAS System |
Nancy Barker |
source |
17 |
| MWSUG |
2005 |
Medicare Cost Estimation For Heart Disease |
Fariba Nowrouzi |
|
11 |
| MWSUG |
2005 |
Time Dependent Data Exploration And Preprocessing: Doing It All By SAS |
Joseph Twagilimana |
|
10 |
| WUSS |
2005 |
Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad |
Arthur L. Carpenter |
source |
9 |
| NESUG |
2005 |
Algorithm and Software for Yield Analysis |
Igor Mandel,
Victor Kamensky |
|
16 |
| NESUG |
2005 |
Freq n' Means |
Marge Scerbo,
Michael S. Lajiness |
|
19 |
| PharmaSUG |
2005 |
Generating Customized Analytical Reports from SAS Procedure Output |
Brinda Bhaskar,
Kennan Murray |
|
9 |
| PharmaSUG |
2005 |
Using SAS to Automate The Process of Microarrays Data Normalization |
Lei Qin. Cancer |
|
7 |
| SUGI |
2005 |
Automating Predictive Analysis to Predict Medicare Fraud |
Christine L. Warner |
source |
9 |
| SUGI |
2005 |
Imputation of Categorical Variables with PROC MI |
Paul D. Allison |
source |
14 |
| SUGI |
2005 |
IRT-FIT: SAS Macros for Fitting Item Response Theory (IRT) Models |
Robert Terry,
Sung-Hyuck Lee |
source |
9 |
| SUGI |
2005 |
Litigation and SAS: Some Dos and Don'ts (or, You Call that Evidence?) |
Nicholson E. Warman |
source |
10 |
| SUGI |
2005 |
PROC FREQ and PROC MEANS: To Stat or Not to Stat |
Marge Scerbo,
Michael S. Lajiness |
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 |
Generating Customized Analytical Reports from SAS Procedure Output |
Brinda Bhaskar,
Kennan Murray |
|
12 |
| SCSUG |
2004 |
Ranking Efficiency, Properness with SAS Probability Functions and Procedures |
Dagan Zhang |
|
8 |
| SCSUG |
2004 |
The Workhorses of Customized Report Writing - PROC TABULATE and PROC REPORT |
Deborah B. Buck |
|
7 |
| SESUG |
2004 |
A System to Calculate Market Value-at-Risk using SAS/IML and Oracle |
George Rezek |
source |
12 |
| SESUG |
2004 |
Mixed Model Influence Diagnostics |
Oliver Schabenberger |
source |
17 |
| SESUG |
2004 |
Quality of Life Analysis for Patients Receiving Heart Implants |
David Nfodjo,
Christiana Petrou |
source |
8 |
| SESUG |
2004 |
Using Dynamic Data Exchange to Customize Formatted Reports in Microsoft Excel |
Dennis J. Beal |
source |
19 |
| WUSS |
2004 |
A System to Calculate Market Value-at-Risk using Oracle and Monte Carlo Simulation in SAS/IML |
George Rezek |
source |
12 |
| WUSS |
2004 |
Cut Out The Cut And Paste: SAS Macros For Presenting Statistical Output |
Myungshin Oh,
Mel Widawski |
source |
9 |
| WUSS |
2004 |
Mixed Model Influence Diagnostics |
Oliver Schabenberger |
source |
17 |
| MWSUG |
2004 |
A System to Calculate Market Risk |
George Rezek |
|
11 |
| MWSUG |
2004 |
Presenting the Binary Logit Model Effectively using SAS |
Hun Myoung Park |
|
11 |
| MWSUG |
2004 |
SAS Code for Estimating the Confidence Interval for a Standardized Effect Size |
S. Jonathan Mends-cole |
|
6 |
| MWSUG |
2004 |
Using SAS Enterprise Guide to Automate and Customize Statistical Analyses for Pharmaceutical Data |
Alex Dmitrienko,
Cindy Lee |
|
6 |
| PNWSUG |
2004 |
A System to Calculate Market Value-at-Risk using Oracle and Monte Carlo Simulation |
George Rezek |
|
12 |
| 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 |
PROC POWER: V9.1 |
Deborah J. Bauer |
|
6 |
| PharmaSUG |
2004 |
Simultaneous Nonparametric Inference in a One-Way Layout Using the SAS System |
Paul Juneau |
|
17 |
| PharmaSUG |
2004 |
Statistical Application of SAS in Method Comparison Analysis |
David Shen |
|
13 |
| SUGI |
2004 |
A System to Calculate Market Value-at-Risk using Oracle |
George Rezek |
source |
11 |
| SUGI |
2004 |
DATA: "Getting to Know You; Getting to Know All About You" |
Larry W. Douglass,
Sue E. Douglass |
source |
17 |
| SUGI |
2004 |
Fitting Longitudinal Mixed Effect Logistic Regression Models with the NLMIXED Procedure |
Peter H. Van Ness,
John R. O'Leary,
Amy L. Byers,
Terri R. Fried,
Joel A. Dubin |
source |
7 |
| SUGI |
2004 |
Guiding Your Enterprise with SAS Enterprise Guide |
David H. Johnson |
source |
16 |
| SUGI |
2004 |
Mixed Model Influence Diagnostics |
Oliver Schabenberger |
source |
18 |
| SUGI |
2004 |
PROC POWER in SAS 9.1 |
Deborah J. Bauer,
Russell M. Lavery |
source |
7 |
| WUSS |
2003 |
Batch Automated Reporting and Analysis in Semiconductor Manufacturing Parametrics |
Tom Winter,
Willy Waks |
source |
10 |
| WUSS |
2003 |
Principal Component Analysis, A Powerful Scoring Technique |
George C. J. Fernandez |
source |
6 |
| SCSUG |
2003 |
Elementary Statistics Using Base SAS |
Deborah B. Buck |
|
9 |
| SESUG |
2003 |
Developing a Marketing Geographic Segmentation System Using SAS Software |
Kellie M. Poulin,
Allison N. Freeman |
source |
10 |
| SESUG |
2003 |
Methods of Dealing with Values Below the Limit of Detection using SAS |
Carry W. Croghan,
Peter P. Egeghy |
source |
5 |
| SESUG |
2003 |
Using the SAS System to Construct n-Values Plots |
Peter S. Wludyka |
source |
9 |
| SESUG |
2003 |
What is Missing in SAS? |
Imelda C. Go |
source |
5 |
| MWSUG |
2003 |
A Macro Program for Displayin T-test Results |
Brent L. Baxter |
|
12 |
| NESUG |
2003 |
Statistics & Regression - Easier than SAS |
Vincent Maffei,
Michael L. Davis |
|
6 |
| SEUGI |
2003 |
Using the SAS System for Teaching and Research - A Short Review of Co-operations between Statisticians and Medical Students [presentation] |
Barbara G. Schneider |
source |
59 |
| PharmaSUG |
2003 |
Parameter estimation for incomplete bivariate longitudinal data in clinical trials |
Naum M. Khutoryansky |
|
6 |
| PharmaSUG |
2003 |
Using SAS to Perform a Single-Stage Multiple Comparison Procedure for All Pair-wise Comparisons in a One-Way Layout with Unequal Variances |
Paul Juneau |
|
6 |
| SUGI |
2003 |
Developing a Marketing Geographic Segmentation System Using SAS Software |
Allison N. Shubert-Freeman,
Kellie M. Poulin,
Shawn C. Yoder,
Michael R. Morgan,
Jennifer K. Warner |
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 |
| SUGI |
2003 |
Using SAS to Automatically Generate Reports in Any Special Formats |
Quan Ren |
source |
4 |
| SCSUG |
2002 |
A FIRST . (but not LAST.) Word on the BY-group Processing |
Christine A. Smiley |
|
9 |
| NESUG |
2002 |
Using the LOGISTIC Procedure to Model Responses to Financial Services Direct Marketing |
David Marsh |
|
6 |
| SESUG |
2002 |
The Essential Meaning of PROC MEANS: A Beginner's Guide to Summarizing Data Using SAS Software |
Andrew H. Karp,
Gary M. McQuown |
source |
10 |
| WUSS |
2002 |
A Macro to Perform a T-Test for Two Independent Samples Using Sufficient Statistics |
Lang-Feng Tsai |
source |
5 |
| WUSS |
2002 |
Reliability, Exploratory, & Confirmatory Factor Analysis for the Scale of Atheletic Priorities |
Diana D. Suhr |
source |
8 |
| SEUGI |
2002 |
SAS application: PEST 4 for sequential clinical trials [presentation] |
Tatsuru Matsushita |
source |
19 |
| SEUGI |
2002 |
The problem of treasurey portfolio optimisation [presentation] |
Alexey Kulemin,
Vasily Konuzin,
Vasily Sorokoumov,
Victor Kulyshev |
source |
52 |
| SEUGI |
2002 |
Tracking Error [presentation] |
Francoise Grandjean,
Gregory Magro |
source |
21 |
| PharmaSUG |
2002 |
Imputation of Longitudinal Incomplete Data in Clinical Trials |
Naum M. Khutoryansky |
|
4 |
| SUGI |
2002 |
Data Cleaning 101 |
Ronald P. Cody |
source |
10 |
| SUGI |
2002 |
SAS Tools for Meta-analysis |
Robert M. Hamer,
Pippa M. Simpson |
source |
6 |
| 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 |
| SUGI |
2002 |
Using SAS to Perform Robust I-Sample Analysis of Means Type Randomization Tests for Variances for Unbalanced Designs |
Peter S. Wludyka,
Ping Sa |
source |
7 |
| MWSUG |
2001 |
A Basic Mathematical Explanation of the SAS / QC and PROC Shewhart |
Jim Edgington |
|
3 |
| MWSUG |
2001 |
Modeling Lifetime Value in the Insurance Industry |
C. Olivia Parr Rud |
|
9 |
| NESUG |
2001 |
Determination and Interpretation of the OOP for ROC's with PROC LOGISTIC |
Robert J. Gallop |
|
6 |
| NESUG |
2001 |
Optimizing Survey Research from Start to Finish Using SAS Software |
Lark Lee,
Yvonne Brandreth |
|
7 |
| NESUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe |
|
13 |
| VIEWS |
2001 |
Visualisation in SAS [presentation] |
Ian Sedgwick |
|
28 |
| WUSS |
2001 |
Estimating and Interpreting Ordered Regression Models using PROC PRINT |
Kenneth Fernandez |
source |
5 |
| WUSS |
2001 |
Genetic Algorithm Using SAS/IML |
David Steehard,
Nan-Ting Chou |
source |
7 |
| WUSS |
2001 |
Using SAS Functions for Power Analysis and Sample Size Estimation |
Mel Widawski |
source |
5 |
| SESUG |
2001 |
A Simulation Study to Compare the Performance of Permutation Tests for Time by Group Interaction in an Unbalanced Repeated-Measures Design, Using Two Permutation Schemes |
Mark S. Litaker,
Bob Gutin |
source |
5 |
| SESUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe |
source |
13 |
| SESUG |
2001 |
Using the SAS System to Estimate Sample Size Requirements for Small Sample Confidence Intervals |
Confidence Intervals |
source |
5 |
| SCSUG |
2001 |
A Simulation Study to Compare the Performance of Permutation Tests for Time by Group Interaction in an Unbalanced Repeated-Measures Design, Using Two Permutation Schemes |
Mark S. Litaker,
Bernard Gutin |
|
5 |
| SCSUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe,
Ralph G. O'Brien |
|
13 |
| SCSUG |
2001 |
Using the SAS System to Demonstrate the Equivalence of On-line and On-Papeer Survey Adminstration across Levels of Raters |
Jim Penny |
|
5 |
| SCSUG |
2001 |
Using the SAS System to Estimate Sample Size Requirements for Small Sample Confidence Intervals |
Jim Penny |
|
5 |
| SEUGI |
2001 |
A web interface for portfolio risk optimisation with SAS System |
Giuseppe Marcon,
Maria Rita Pepe |
source |
14 |
| SEUGI |
2001 |
Web warehousing and data exploitation of accidents in working environments - ISPESL [presentation] |
Paolo Montanari |
source |
33 |
| PharmaSUG |
2001 |
Imputation Techniques Using SAS Software For Incomplete Data In Diabetes Clinical Trials |
Naum M. Khutoryansky,
Won-Chin Huang |
|
4 |
| PharmaSUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe |
|
14 |
| PharmaSUG |
2001 |
The Basics of ODS and Templates for Data Analysis |
Sandy McNeill |
|
20 |
| SUGI |
2001 |
A Basic Mathematical Explanation of SAS/QC and PROC SHEWHART |
James F. Edgington |
source |
3 |
| SUGI |
2001 |
Creating a Consolidated Report from Several SAS Outputs Using DATA _NULL_ and PUT Statements |
Anne Horney,
Gail F. Kirk |
source |
6 |
| SUGI |
2001 |
Data Cleaning 101 |
Ronald P. Cody |
source |
10 |
| SUGI |
2001 |
Modeling Lifetime Value in the Insurance Industry |
C. Olivia Parr Rud |
source |
8 |
| SUGI |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe,
Ralph G. O'Brien |
source |
13 |
| SUGI |
2001 |
Quality Design Based on SAS/EM |
Wenming Chen |
source |
4 |
| SUGI |
2001 |
Statistical Quality Control and a Capability Analysis |
Paul W. Johnson,
Ling Huang |
source |
5 |
| SUGI |
2001 |
The ABCs of ADX: A Solution for Design and Analysis of Experiments |
Brenda S. Ramirez,
Jose G. Ramirez |
source |
|
| SCSUG |
2000 |
Data Cleaning 101 |
Ronald P. Cody |
|
13 |
| SESUG |
2000 |
Exploratory Data Analysis using PROC UNIVARIATE |
Robert E. Maitland Jr. |
source |
4 |
| SESUG |
2000 |
Using SAS to Perform Robust I-Sample Analysis of Means Type Randomization Tests for Variances |
Peter S. Wludyka |
source |
6 |
| SESUG |
2000 |
Using The SAS System To Examine The Effect Of Augmentation On The Inter-Rater Reliability Of Holistic Ratings |
Jim Penny |
source |
6 |
| SESUG |
2000 |
Using The SAS System To Examine The Reliability Of The Retrospective Measure Of Change |
Jim Penny |
source |
6 |
| NESUG |
2000 |
Data Quality Control in Multi-State, Multi-year, Multi-type Databases: A Method for Examining Year-to-Year Percentage Changes |
Li wan Chen |
|
8 |
| NESUG |
2000 |
NPV Modeling for Direct Mail Insurance |
C. Olivia Parr Rud |
|
7 |
| SEUGI |
2000 |
Credit Risk Measurement for a Bank Loans Portfolio |
Emiliano Laruccia,
Valter Lazzari |
source |
11 |
| SEUGI |
2000 |
Development of Micro-Aggregation System for Confidential Data [presentation] |
L. Bechet,
P. Loosveldt,
T. Le Tri |
source |
44 |
| PharmaSUG |
2000 |
Random Simulation Methods for Computing Power and Sample Size for Tukey's Trend Test |
Benjamin Duncan |
|
6 |
| SUGI |
2000 |
A Primer in Spatial Simulation with PROC SIM2D |
Robert G. Downer |
source |
3 |
| SESUG |
1999 |
Data Mining: An Overview of Methods and Technologies for Increasing Profits in Direct Marketing |
C. Olivia Parr Rud |
source |
7 |
| SESUG |
1999 |
Data Summarization Methods in Base SAS Procedures |
Lynne Bresler |
source |
9 |
| SESUG |
1999 |
Using SAS to Perform the Analysis of Means for Variances Test |
Peter S. Wludyka |
source |
6 |
| WUSS |
1999 |
Are Histograms Giving You Fits? New SAS Software for Analyzing Distributions |
Nathan A. Curtis |
source |
10 |
| NESUG |
1999 |
Data Cleaning 101 |
Ronald P. Cody |
|
10 |
| NESUG |
1999 |
Data Mining: An Overview of Methods and Technologies for Increasing Profits in Direct Marketing |
C. Olivia Parr Rud |
|
7 |
| NESUG |
1999 |
Modeling Customer Choice |
David R. Roberts |
|
6 |
| MWSUG |
1999 |
Data Summarization Methods in Base SAS Procedures |
Lynne Bresler |
|
9 |
| MWSUG |
1999 |
Using JMP for Visualization and DOE: A real life example |
William R. Gjertsen |
|
9 |
| SEUGI |
1999 |
Using SAS/IML to fit embedded models to accelerated life test data |
Alan John Watkins,
Richard E. Johnson |
source |
7 |
| SUGI |
1999 |
Analyzing Oncology Patient Health Care Costs Using the SAS System |
Jeff A. Sloan,
Steven S. Cha,
Judith L. Wagner,
Cristine Allmer,
Steven R. Alberts,
Jed Lindman |
source |
6 |
| SUGI |
1999 |
Canonical Correspondence Analysis in SAS Software |
Laxman M. Hegde,
Dayanand N. Naik |
source |
7 |
| SUGI |
1999 |
Data Mining: An Overview of Methods and Techniques for Increasing Profits in Direct Marketing |
C. Olivia Parr Rud |
source |
7 |
| SUGI |
1999 |
The Science and Art of Market Segmentation Using PROC FASTCLUS |
Mark E. Thompson |
source |
5 |
| SUGI |
1999 |
Using SAS to Conduct Pilot Studies: An Instructors Guide |
Sean W. Mulvenon,
Ronna C. Turner |
source |
6 |
| MWSUG |
1998 |
A Tour of UnifyPow: A SAS Module/Macro for Sample-Size Analysis |
Ralph G. O'Brien |
|
11 |
| MWSUG |
1998 |
Using JMP for Design of Experiments and Variability Analysis for Semiconductors |
William R. Gjertsen |
|
7 |
| SCSUG |
1998 |
Implementing Robust Statistical Calculations for Minimizing the Effect of Outliers |
Rona Tracy |
|
4 |
| SCSUG |
1998 |
JMP Reveals the Truth: Statistics Can Be Fun! |
William R. Gjertsen |
|
10 |
| WUSS |
1998 |
New SAS Procedures for Analysis of Sample Survey Data |
Anthony B. An,
Donna L. Watts |
source |
11 |
| WUSS |
1998 |
Quick Results from Statistical Analysis - An Alternative Approach to the Popular Menu Interface Systems |
George C. J. Fernandez |
source |
8 |
| NESUG |
1998 |
A Simulation Study of Estimators In Stratified Proportional Hazard Models |
Hsi-Wen Liao |
|
8 |
| NESUG |
1998 |
A Smart Guide to Dummy Variables: Four Applications and a Macro |
Susan B. Garavaglia |
|
10 |
| NESUG |
1998 |
Data Mining: An Overview of Methods and Techniques for Increasing Profits in Direct Marketing |
C. Olivia Parr Rud |
|
8 |
| NESUG |
1998 |
Using SAS/IML to Calculate L-Moments for the Univariate Distribution Shape Parameters Skewness and Kurtosis |
Michael A. Walega |
|
8 |
| SESUG |
1998 |
An Applicatio.n of Cluster Analysis in the Financial Services Industry |
Satrsh Nargundkar,
Strategic Decision |
|
6 |
| SESUG |
1998 |
Developing an Hourly Profile for a Monthly Forecast |
Hourly Profile,
Thomas A. Fuchs |
|
5 |
| SESUG |
1998 |
INFOIlMA TION J!JsUALLZA TION Using.JMF' for Design of Experiments and Variability Analysis for Semiconductors |
William R. Gjertsen |
|
7 |
| SESUG |
1998 |
INFORMA TION Y/sUALIZATION |
Darren Stewart,
Eric C. Brinsfield |
|
3 |
| PNWSUG |
1998 |
The Science and Art of Market Segmentation Using PROC FASTCLUS |
Mark E. Thompson |
|
6 |
| SEUGI |
1998 |
A management indicator based on Statistical Process Control data: the average percentage of non conformity items |
K. Hadadj,
Thierry Cembrzynski |
source |
19 |
| SEUGI |
1998 |
SAS software within the Ernst & Young audit practice [presentation] |
Ton Buffing |
source |
36 |
| SEUGI |
1998 |
Unpleasant data? A chance of powerful multi-variant analysis in clinical trials with data not meeting the conditions |
Thomas Bregenzer |
source |
13 |
| PharmaSUG |
1998 |
Using Proc Report in Displaying Clinical Laboratory Results |
Ann Root |
|
3 |
| SUGI |
1998 |
A Tour of UnifyPow: A SAS Module/Macro for Sample-Size Analysis |
Ralph G. O'Brien |
source |
10 |
| SUGI |
1998 |
Finding the Solution to Data Mining: A Map of the Features and Components of SAS Enterprise Miner Software Table of Contents |
John C. Brocklebank,
Mark Brown |
source |
24 |
| SUGI |
1998 |
Graphically Conquering the SF-36: A Tool for Illustrating Subscale by Group Over Time Using SAS/GRAPH Software |
David A. Dorr,
Mae O. Gordon |
source |
5 |
| SUGI |
1998 |
New SAS Procedures for Analysis of Sample Survey Data |
Anthony B. An,
Donna L. Watts |
source |
11 |
| SUGI |
1998 |
Programming and Other Features of the JMP Calculator |
Daniel J. Obermiller |
source |
8 |
| SUGI |
1998 |
Statistical Process Monitoring of Correlated Binary and Count Data Using Mixture Distributions |
Jose G. Ramirez,
Brenda S. Cantell,
Randall S. Collica |
source |
7 |
| SCSUG |
1997 |
A Macro to Account for Missing Data in a Table |
Margie Bell,
Stephen Black,
Jennifer K. Fulton |
|
10 |
| WUSS |
1997 |
A Microcomputer Program (SF-36.EXE) that Generates SAS Code for Scoring the SF-36 Health Survey |
Ron Hayes,
Cathy D. Sherbourne,
Karen L. Spritzer,
Wil J. Dixon |
source |
5 |
| WUSS |
1997 |
Cross-Validation Estimates of the Prediction Error in a Random-Coefficients Mixed Model Used to Estimate Emissions from On-Road Motor Vehicles using SAS |
Steven Brisby |
source |
5 |
| WUSS |
1997 |
Investigating Gender Empowerment: A SAS/STAT Application |
J. Richard Earley |
source |
4 |
| NESUG |
1997 |
From 50,000,000 Claims to One Analytical File |
Louise S. Hadden,
Mike Murphy,
Alan J. White |
|
6 |
| NESUG |
1997 |
Implementation and Comparison of the Back Propagation Neural Network in SAS Software |
John S. DaPonte |
|
10 |
| NESUG |
1997 |
Missing Value Imputation Methods for Large Databases |
Leonardo Auslender |
|
8 |
| NESUG |
1997 |
SAS Versatility: Using SAS Software to Analyze and Report Students' Evaluations of Faculty |
Gail Wisan |
|
10 |
| MWSUG |
1997 |
A simple macro to identify samples for reanalysis |
Robert H. Gallavan,
James M. McKim |
|
3 |
| MWSUG |
1997 |
Linear Regression Modeling using the SAS System: A Real-World Example Comparing the Factors Influencing Charity Care and Bad Debt in Wisconsin Hospitals |
Lynette A. Gerstner |
|
7 |
| SESUG |
1997 |
Exploring Data With Base SAS Software |
Thomas J. Winn Jr. |
|
7 |
| SUGI |
1997 |
A Microcomputer Program (SF-36.EXE) that Generates SAS Code for Scoring the SF-36 Health Survey |
Ron D. Hays,
Cathy D. Sherbourne,
Karen L. Spritzer,
Wil J. Dixon |
source |
5 |
| SUGI |
1997 |
JMP Reveals the Truth: Statistics Can Be Fun! |
William R. Gjertsen |
source |
11 |
| SUGI |
1997 |
Quantitation of Interactive Effects between Anticancer Agents Using SAS Macros and SAS/GRAPH |
Yalan Wang,
Jun Zuo,
M. Guill. Wientjes |
source |
6 |
| SUGI |
1997 |
Reports Based on SAS Output: Taking Advantage of PROC PRINTTO, DATA Steps and PROC GPRINT |
Lauren E. Haworth |
source |
9 |
| SUGI |
1997 |
UnifyPow: A SAS Macro for Sample-Size Analysis |
Ralph G. O'Brien |
source |
6 |
| SCSUG |
1996 |
A SAS Graph is Worth a Thousand PROC TABULATEs |
Rick Moore,
Steve Johnson |
|
15 |
| SESUG |
1996 |
SAStistics 101 |
Robert E. Johnson |
|
8 |
| SESUG |
1996 |
Using SASe to Write a LlSREL Program |
Francis J. Kelley |
|
8 |
| WUSS |
1996 |
The Effect of Poison Pills on Firm Risk: An Application of Options Pricing Theory |
Thomas A. Turk,
Jeremy Goh |
source |
9 |
| WUSS |
1996 |
The Intraclass Correlation: What Is It and Why Do We Care? |
David J. Pasta |
source |
6 |
| PNWSUG |
1996 |
Reports Based on SAS Output: Takinf Advantage of PROC PRINTTO, DATA STEPS and PROC GPRINT |
Lauren E. Haworth |
|
6 |
| SUGI |
1996 |
Managing Data for a Long-Term Clinical Research Study with SAS/ASSIST Software |
Ioannis C. Dimakos |
source |
1 |
| MWSUG |
1995 |
PROACTIVE vs. REACTICE SPC Analysis at LTV Steel |
Paul M. Centric,
Robert J. Scharl |
|
6 |
| MWSUG |
1995 |
STAT101: A Review of the Basics |
Judi D. Reine |
|
5 |
| NESUG |
1995 |
Data Reduction: An Introduction to Principal Components Analysis |
Jennifer L. Caveny,
James F. Murray |
|
10 |
| NESUG |
1995 |
Macro Based Reshaping of Pharmacokinetic Data for Crossover Studies |
Doreen M. Turczyn-Toles |
|
9 |
| NESUG |
1995 |
Simplifying NDA Programming with PROC SQL |
Aileen L. Yam |
|
7 |
| NESUG |
1995 |
Using SAS To Compute Variances For Stratified Samples |
Lawrence Helbers |
|
5 |
| WUSS |
1995 |
Introduction to PROC SQL as a Data Summary Tool |
Aileen L Yarn |
source |
5 |
| SUGI |
1995 |
Be Bullish with SASe Financial and Investment Analysis with Ease |
Paul J. Ratnaraj |
source |
10 |
| SUGI |
1995 |
Simplifying NDA Programming with PROC SQL |
Aileen L. Yam |
source |
7 |
| SCSUG |
1994 |
Exploring Data Using Base SAS Software |
Thomas J. Winn Jr. |
|
6 |
| WUSS |
1994 |
Checking Multiple Values for Inequality |
Stephen R. Schulz |
source |
2 |
| MWSUG |
1994 |
Using SAS Software to Design and Evaluate Military Standards Sampling Plans |
Dennis W. King |
|
7 |
| SESUG |
1994 |
GRAPHICS USING GRAPmCS TO CONVEY STATISTICAL CONCEPTS AND RESULTS |
David A. Dickey |
|
4 |
| SEUGI |
1994 |
Estimating Robust Scale Measures Using SAS Software |
Hans-Peter Altenburg |
source |
7 |
| SEUGI |
1994 |
SAS System Macros for Multi-variate Two-sample Tests in the Case of Incomplete Data |
Thomas Bregenzer |
source |
10 |
| SUGI |
1994 |
Colored Candies and PROC MACONTROL: A Sweet Way to Produce Chi-Square Control Charts Part 2: Statistical Presentation |
Melvin T. Alexander,
Sherry Joyce King |
source |
6 |
| SUGI |
1994 |
Exploring Data With Base SAS Software |
Thomas J. Winn Jr. |
source |
6 |
| SUGI |
1994 |
Introduction to the UNIVARIATE Procedure |
Kim L. Kolbe Ritzow |
source |
8 |
| SUGI |
1994 |
Mixed Model Analysis of Data: Transition from GLM to MIXED |
Ramon C. Littell |
source |
8 |
| SUGI |
1994 |
Recent Issues in Statistical Process Control: SAS Solutions USing Statistical Modeling Procedures |
Robert N. Rodriguez |
source |
18 |
| SUGI |
1994 |
SAS Software Utilization in the Production of Fibers |
Robert V. Baxley Jr.,
Jerry L. Oglesby |
source |
8 |
| SUGI |
1994 |
Using the SAS System to Score the SF-36 Health Survey |
Katherine Newvine |
source |
6 |
| NESUG |
1993 |
The Application of SAS Procedures in the Evaluation of the Fractal Dimension as a Patteren Recognition Feature |
John S. DaPonte,
Joseph Vitale |
|
12 |
| WUSS |
1993 |
A Macro for Personalized Odds Ratios |
Alice Pressman,
K. L. Stone,
Estie Hudes,
J. L. Tao |
source |
4 |
| SCSUG |
1993 |
Exploring Data Using Base SAS Software |
Thomas J. Winn Jr. |
|
30 |
| SCSUG |
1993 |
Player Performance Evaluations in the NBA: Applications of SAS/GRAPH and SAS/QC |
Cecil R. Hallum |
|
11 |
| SEUGI |
1993 |
Non standard Graphical Representation of Clinical Data |
David Granger |
source |
11 |
| SUGI |
1993 |
A Six Sigma Control Chart |
Meng-Koon Chua |
source |
5 |
| SUGI |
1993 |
Forecasting the Volatility of Financial Markets: ARCH/GARCH Models and the AUTOREG Procedure |
Minbo Kim |
source |
|
| SUGI |
1993 |
Getting to Know You, Getting to Know All About You: Simple Techniques for Forming a Relationship with Your Data |
Arthur L. Carpenter |
source |
6 |
| SUGI |
1993 |
MONTE-A Risk Analysis Program |
Richard H. Fleming |
source |
6 |
| SUGI |
1993 |
SAS Data Dictionary Tool Box |
Allan E. Williams,
Peter Dueber,
Lynette M. Browne |
source |
5 |
| SUGI |
1993 |
Sheet Product Conformance Reporting System |
L. Richard Woodyatt,
John A. McNamara |
source |
8 |
| SUGI |
1993 |
Using the SAS ADX Menu System for Continuous Quality Improvement |
Melissa A. Durfee |
source |
6 |
| SUGI |
1993 |
Why Forecasting Is a Waste of Time: The Three Aphorisms |
Michael Gilliland,
John LaBella |
source |
6 |
| SESUG |
1993 |
New SAS Modules for Practical Power Analysis |
Dan Bowling,
Ralph G. O'Brien |
|
9 |
| 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 |
Getting to Know Your Data Using SAS |
Felicia Borglum |
|
7 |
| NESUG |
1992 |
More Complex Data Structures in SAS Macro: Modeling Arrays of Records |
Irene Mendelson |
|
6 |
| NESUG |
1992 |
Using SAS ADX Menu System for Continuous Quality Improvement |
Melissa A. Durfee |
|
6 |
| MWSUG |
1992 |
A Monte Carlo Evaluation of the Rank Transformation for Cross-Over Trials |
George W. Pasdirtz |
|
6 |
| SEUGI |
1992 |
Cluster Characterisation wit the SAS System Factorial Analysis Solves the Problem of Synthesis Data and hte Typology of Clustering Method |
Christian Derquenne |
source |
17 |
| SEUGI |
1992 |
Experiences from Using the SAS System in a Large Consumption Simulation Study |
Timo Alanko |
source |
11 |
| SUGI |
1992 |
A Bootstrap Evaluation of the EM Algorithm for Censored Survival Data |
George W. Pasdirtz |
source |
6 |
| SUGI |
1992 |
A SAS Program for Reproducing the Results from the ITEM Procedure |
Shu-Yeng Wong |
source |
5 |
| SUGI |
1992 |
A SAS Program to Compute Factors for One-Sided Tolerance Limits for a Normal Distribution |
Susan Portugal |
source |
4 |
| SUGI |
1992 |
INSIGHT into Multiple Regression |
Robert A. Muenchen |
source |
4 |
| SUGI |
1992 |
Multitrait Scaling Program: MULTI |
Ron D. Hays,
Eric Yu I. Wang |
source |
6 |
| SUGI |
1992 |
POWER: A Simple Macro for Power and Sample Size Calculations |
Kristin Latour |
source |
5 |
| SUGI |
1992 |
SAMP/AID - Sampling Applications and Demonstrations in Learning Statistics |
Efraim Darom |
source |
5 |
| SUGI |
1992 |
Testing the Rationality of Panel Data Forecasts Using a GMM Estimator |
Richard H. Cohen |
source |
6 |
| SUGI |
1992 |
The Investigation of Suicide Using SAS Software Procedures: A SAS/ETS Approach |
Seid M. Zekavat |
source |
6 |
| SCSUG |
1991 |
The General Structural Relation Through SAS/AF Windows: An IML Macro You Can't See |
Robert J. Zambarano |
|
19 |
| MWSUG |
1991 |
Consistency Checking of End-User Reponse Times |
Ronald Croll |
|
3 |
| SEUGI |
1991 |
Inferences Control in Data Bases |
A. Bekhechi |
source |
8 |
| SEUGI |
1991 |
Simulation Methods Based on the SAS System |
Karin Schlauss,
Paul Muller |
source |
12 |
| SUGI |
1991 |
A Procedure for Deciding Which Treatments to Accept in a Screening Study Involving Pseudo-Bernoulli Data |
Ralph A. DeMasi,
Dana Quade |
source |
7 |
| 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 |
Analyzing Product Test Data in a Relational Database Using SAS Software |
John L. Orman |
source |
6 |
| SUGI |
1991 |
How Good is Your Data: A Discussion of the Measurement Process |
Annabeth L. Propst |
source |
3 |
| SUGI |
1991 |
Introduction to Hypothesis Testing Using the Normal Distribution, the t-Test and the SAS System |
Arthur L. Carpenter |
source |
5 |
| SUGI |
1991 |
Psychometric Applications with Optical Scanning and Analysis |
W. J. Klein,
Gordon Emslie |
source |
5 |
| SUGI |
1991 |
Ridge Regression from Correlation Matrix Input |
Lawrence Hotchkiss,
John R. Gerlach |
source |
6 |
| SUGI |
1991 |
Techniques for Assessing Differential Item Performance on Achievement Tests |
Delwyn L. Harnisch |
source |
6 |
| NESUG |
1990 |
Understanding PROC UNIVARIATE Statistics |
Wendell F. Refior |
|
5 |
| MWSUG |
1990 |
A Demonstration of the Utility of SAS in Creating Examples to Aid in the Teaching of Statistical Concepts |
Earnest Davenport |
|
9 |
| SUGI |
1990 |
Analyzing and Reporting Fixed Effects in the Real World |
Christopher S. McFarland |
source |
5 |
| SUGI |
1990 |
Using the ADX Menu System for Taguchi Applications in Quality Improvement |
Randall D. Tobias |
source |
15 |
| SUGI |
1990 |
Using the SAS System to Prepare Hospital Inpatient Claims Data for Case-Mix Analyses |
Daniel R. Bretheim |
source |
8 |
| SEUGI |
1989 |
A SAS Procedure For Evaluating Growth In Pediatric Patients |
F. Schafer |
source |
10 |
| SEUGI |
1989 |
An Application Using SAS/QC Software At Alcoa Laboratories |
Linda W. Blazek |
source |
18 |
| SEUGI |
1989 |
Using SAS/QC Software Within An Information System For Quality Data Management |
Thomas Schunk |
source |
7 |
| SUGI |
1989 |
Computing the Standard Deviation from a Geometric Mean |
Daniel R. Bretheim |
source |
3 |
| SUGI |
1989 |
Nonlinear Regression Analysis of a Biexponential Model Using Various Methods of the NLIN Procedure of SAS Software |
J. Paul Costiloe,
Andrew J. Cucchiara,
R. B. Deal Jr.,
Susan J. Kenny |
source |
6 |
| SUGI |
1989 |
Normal and Nonparametric Two-sided Tolerance Limits |
Richard H. Browne |
source |
3 |
| SEUGI |
1988 |
A Procedure for Documenting and Assessing Bioequivalence |
Alfredo Ardia,
C. Montoro,
N. Orlando |
source |
11 |
| SEUGI |
1988 |
Using the SAS System for the Analysis of Means |
Randy Topp |
source |
8 |
| SUGI |
1988 |
Menu-driven Statistical Defect Analysis System |
Ed Jurgensen,
Tom Lorman,
Tom Pineo |
source |
5 |
| SUGI |
1988 |
Power Analysis in an Enhanced GLM Procedure: What It Might Look Like |
Ralph G. O'Brien,
S. Paul Wright |
source |
6 |
| SUGI |
1988 |
Upgrading User-written Procedures for Version 5 SAS Software: A User's Perspective |
Richard L. Gimarc |
source |
8 |
| SUGI |
1988 |
Using SAS Color Graphics for Video Image Analysis |
James Borek,
Alan Huber |
source |
3 |
| SUGI |
1988 |
Using SAS/GRAPH Software to Create Graphics for Data Analysis |
Terry D. Allen,
Glen Buckner |
source |
6 |
| SUGI |
1988 |
Using the SAS System for Analysis of Means |
Donna O. Fulenwider |
source |
8 |
| SUGI |
1988 |
Weighted Statistical Measures for Grouped Data |
Nancy Stevens |
source |
6 |
| SEUGI |
1987 |
Enhancements to Micro-Host Link |
Daniel Delorge |
source |
8 |
| SUGI |
1987 |
Full-screen Menu-driven Sample Size Programs Using SAS/AF Software |
J.A. Bebar,
Phil Cirulli,
L. A. Johnson |
source |
5 |
| SUGI |
1987 |
Graphic Profiling of User Group Activity |
H. Pat Artis |
source |
2 |
| 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 |
| SEUGI |
1986 |
Principal Component Methods for Classification of Groups of Samples |
Peter Yendle,
Richard Brereton,
Simon Badham |
source |
34 |
| SEUGI |
1986 |
SAS Macro "Meta" for Combining Independent Eestimators for Effect Size |
Efraim Daron |
source |
12 |
| SEUGI |
1986 |
The SAS System as a Tool for the Financial Systems Auditor |
Jost Dorken |
source |
20 |
| SUGI |
1986 |
A Generalized SAS Algorithm Including Error Diagnostics for the Switchback Experimental Design with Three or More Treatments |
Nancy K. Keith,
George D. Williams |
source |
3 |
| SUGI |
1986 |
An Introduction to SAS/QC Software |
Robert N. Rodriguez |
source |
11 |
| SUGI |
1986 |
Creative Uses of Standard Graphics Packages |
Julie A. LaBarr |
source |
6 |
| SUGI |
1986 |
Insurance Industry Financial Data-Development Analysis and Production |
Robert R. Lorentzen |
source |
4 |
| SUGI |
1986 |
Power Analysis for Linear Models |
Ralph G. O'Brien |
source |
8 |
| SUGI |
1986 |
PROC Ellipse |
Charles G. Margolin,
Charles E. Shipp |
source |
1 |
| SUGI |
1986 |
SAS Program Generator for Statistical Quality Control |
Chris Potter |
source |
6 |
| SUGI |
1986 |
The SAS System as a Tool for the Financial Systems Auditor |
Ferrell Drewry |
source |
20 |
| SUGI |
1986 |
Use of SAS Software to Forecast Claims |
R. Choudary Hanumara,
Michael Salzillo |
source |
6 |
| SUGI |
1985 |
A Quadratic Program for Determining Efficient Frontier Portfolio Compositions Using the SAS Language |
Alex Anckonie III |
source |
6 |
| SUGI |
1985 |
A SAS Procedure for Evaluating the Performance of Token Ring Local Area Networks |
Richard L. Gimarc,
James H. Smith |
source |
8 |
| SUGI |
1985 |
An Interface with SAS Software and MUMPS |
H. William Cooley,
Michelle Gallagher-Nelson |
source |
1 |
| SUGI |
1985 |
Application of the SAS System to Regression Analysis of Tumor Prevalence Data |
Saeid B. Amini,
Debra L. Palka |
source |
7 |
| SUGI |
1985 |
Creating a Summary Table of Normalized(Z) Scores |
Walter W. Owen Jr. |
source |
5 |
| SUGI |
1985 |
Macro Power: A Procedure to Generate Wilcox on Rank Sum Power Curves |
Michael J. Todd |
source |
4 |
| SUGI |
1985 |
Optimal Allocation for the Comparisons of Two Proportions |
David C. Huang |
source |
6 |
| SUGI |
1985 |
PROC ELPRINT: a Print Procedure that Supports Footnotes and Outlier Detection |
George F. Fraction,
Jeffrey B. Shotts,
Richard E. Skrzynecki,
S. Stanley Young |
source |
6 |
| SUGI |
1985 |
Use of the SAS Macro Language in Developing Control Chart Limits |
Thomas P. Walker Jr. |
source |
4 |
| SUGI |
1984 |
Custom Graph Axes with PROC GPLOT |
Dale B. Peart |
source |
3 |
| SUGI |
1984 |
Developing A Computer Cost Distribution Method Using the MICS Data Base |
Anne N. Bluth,
Jean L. Waits |
source |
6 |
| SUGI |
1984 |
How the SAS System is Used by Division of Cardiovascular Surgery at Toronto General Hospital |
R. J. Baird,
B. S. Goldman,
E. J. Kuzin,
L. L. Mickleborough,
H. E. Scully,
Cathy P. Tong,
R.D. Weisel |
source |
2 |
| SUGI |
1984 |
PROC ARKMAP: A Low Cost Method of Presenting Geographical Data in an Educational Environment |
Dennis W. King,
Richard M. Smith |
source |
3 |
| SUGI |
1984 |
Using New SAS Features in an Information Processing Course |
Robert Carr,
Karen Griffin,
Robert S. Workman |
source |
2 |
| SUGI |
1984 |
Workload Characterization Using PROC FASTCL US |
H. Pat Artis |
source |
8 |
| SEUGI |
1983 |
Analysis of Survey Data from a Soda Ash Lake |
Gordon Thackray |
|
6 |
| SEUGI |
1983 |
GLMOUT - A SAS Program to Read PROC GLM Output |
A. Eastwood,
D. A. Budgett |
|
7 |
| SUGI |
1983 |
Evaluation of Non-accelerated Stability Data |
Kathleen Karpenter Dietrich,
Daniel L. Weiner |
source |
6 |
| SUGI |
1983 |
Generalized Program for Stratification &Strata Deterioration Analysis-GPSSD.. |
Bonnie Brown Jacobson |
source |
6 |
| SUGI |
1982 |
Graphical Display of Scatter Data Using the Standard Deviation Ellipse |
Charles G. Margolin,
Charles E. Shipp |
source |
6 |
| SUGI |
1982 |
Tuning the TSO Environment with SAS |
Kenneth E. Levy |
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 |
What is Cognitive Complexity? Alternative Scoring Procedures for the Modified Rep Test |
Tom Trabin,
Phillip K. Wood |
source |
6 |
| SUGI |
1981 |
Control Charts with SAS and TSO |
Dale F. Kraemer,
Judy A. Stober |
source |
6 |
| SUGI |
1981 |
Robust Measures of Scale in Outlier Detection |
Paul W. Fingerman |
source |
6 |
| SUGI |
1980 |
Computer Generated Repeatable Examinations |
Edward L. Spitznagel |
source |
5 |
| SUGI |
1980 |
Threshold Point Models: A SAS Macro for Estimation of Parameters |
George A. Milliken,
Jeanne L. Sebaugh |
source |
6 |
| SUGI |
1979 |
Estimating Passenger Demands from Truncated Samples |
Franklin S. Young |
source |
5 |
| SUGI |
1977 |
A User's Point of View of the GLM Procedure in SAS76 |
George C. Chao |
source |
2 |
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