| WUSS |
2026 |
Beyond a P-Value Vending Machine: Becoming a Research Partner, Not a Service Provider |
Mehrnaz Siavoshi |
source |
10 |
| PharmaSUG CN |
2026 |
A Comprehensive R Shiny Application for Pharmacokinetic Analysis |
Keyi Zhang |
source |
17 |
| PharmaSUG CN |
2026 |
An Integrated, AI-Augmented R Shiny Platform for Oncology Clinical Trial Decision Intelligence: From CDISC Data to Go/No-Go in One Unified Hub |
Zhiping Yan |
source |
28 |
| PharmaSUG |
2026 |
Construction and Evaluation of External Controls Using Propensity Score Methods |
Bala Niharika Pillalamarri,
Yayu Li,
Hongbing Jin |
source |
14 |
| PharmaSUG |
2026 |
Contrast Effects in Curated Observational Data |
Shankar Srinivasan,
Helen Guo,
Yvonne Buttkewitz |
source |
16 |
| PharmaSUG |
2026 |
From Molecular Subtypes to Bedside Decisions: An AI Approach for Personalized Critical Care Recommendations |
Xi Jiang,
Scott McClain |
source |
8 |
| PharmaSUG |
2026 |
PSMATCH: Propensity Score Matching of Clinical Trial Data with External Control Arms |
Ginger Barlow |
source |
8 |
| PharmaSUG |
2026 |
SAS Programming techniques for efficiency and code optimization |
Jayanth Iyengar |
source |
27 |
| PHUSE US |
2026 |
Advancing Precision Medicine and Regulatory Readiness: Data Harmonisation and Statistical Methods for Companion Diagnostics Bridging Studies |
Ummul Vara Qurratul Ain |
source
presentation source |
10 |
| PHUSE US |
2026 |
Bridging Analysis and Strategy: The Transformative Role of Statistical Analysts in Drug Development |
Lingsong Yun |
source
presentation source |
17 |
| PHUSE US |
2026 |
CCI Proposals In Clinical Documents - Gap Analyses [presentation] |
Radu Popescu,
Silvia Garrido-Lestache |
source |
14 |
| PHUSE US |
2026 |
Defining Time Zero: Evaluating Index Line Selection Methods in External Control Arms (ECAs) |
Peishan(Jenny) Han,
Lorraine Fang |
source
presentation source |
5 |
| PHUSE US |
2026 |
Enhancing ISS Analyses with the Continuity-Corrected CMH Method: An SAS-Based Solution for Zero-Event Strata |
Ji Qi,
Kaixiang Li |
source
presentation source |
5 |
| PHUSE US |
2026 |
Is There Really Any Benefit to Stratified Randomisation in Practice? |
Pavankumar Bhagat |
source
presentation source |
9 |
| PHUSE US |
2026 |
Privacy-Preserving Methods for Oncology Research Using Differential Privacy |
Elena Valkanova |
source
poster source |
12 |
| PHUSE US |
2026 |
Robust Causal Inference in Real-World Evidence Studies with Double Machine Learning |
Yilun Huang,
Jing Dai |
source
presentation source |
5 |
| PHUSE US |
2026 |
Supporting Clinical Trial Recruitment Using Real-World Data |
Yi-Chien Lee |
source
presentation source |
2 |
| PHUSE APAC |
2026 |
Annualized Relapse Rate and Clinical Profiles in South Korean Multiple Sclerosis Patients: A Sample Cohort Study Using Korean National Health Insurance Data |
Seongjun Byun,
Jisuk Jo |
source
presentation source |
8 |
| PHUSE APAC |
2026 |
Beyond Toxicity : Accelerating Dose -Finding with Pharmacokinetic -Driven Bayesian Design PKBOIN-12 |
Anetta Mary Xavier |
source
presentation source |
13 |
| PHUSE APAC |
2026 |
Connecting Open-Source and Enterprise Software: Enhancing Phase III Clinical Trial Design Through R Integration in East Horizon |
Pradip Maske,
Anoop Rawat |
source
presentation source |
6 |
| PHUSE APAC |
2026 |
Crafting a recipe for success : Aligning Target Product Profiles and study design to ensure statistical significance translates to clinical relevance and role of DGF |
Soumitra Kar,
Novo Nordisk GBS |
source
presentation source |
9 |
| PHUSE APAC |
2026 |
Critical & Sensitive Information (CSI) Paper AS02 Revolutionizing Clinical Quality: A Frontier Approach with Quality by Design (QbD), Infrastructure Modernization and Data-Driven Analytics |
Priti Gupta,
Deepa Balaji |
source
presentation source |
12 |
| PHUSE APAC |
2026 |
Development of Statistical Scientists for Pharmaceutical Drug Development at India Global Capability Centres |
Suresh Chenji |
source
presentation source |
6 |
| PHUSE APAC |
2026 |
Elastic Net Meets BART: A Hybrid Virtual Twins Approach for Reliable Subgroup Identification |
Alexis Bernard Dalam |
source
presentation source |
10 |
| PHUSE APAC |
2026 |
Estimation of the Hypothetical Estimands using Longitudinal version of the TMLE |
Shreya Wahi |
source
presentation source |
8 |
| PHUSE APAC |
2026 |
Faster Patient Recruitment in Clinical Trials through Simulations |
Keerthana Udupa |
source
presentation source |
7 |
| PHUSE APAC |
2026 |
Innovative Strategies for Managing Missing Data in Real-World Data: Insights from APAC Global Capability Centers |
Likhita Kolli,
Tuhin James Paul |
source
poster source |
12 |
| PHUSE APAC |
2026 |
Leveraging Large Language Models (LLMs) for Missing Data Imputation and Interpretation of Real-World Evidence Outputs |
Spencer Langerman,
Rahul Manohar Somavanshi |
source
presentation source |
12 |
| PHUSE EU |
2025 |
Bayesian Inference for Medical Device Reliability: Improving Safety and Effectiveness Assessments |
Shrutimita Pokhariyal |
source
presentation source |
7 |
| PHUSE EU |
2025 |
Beyond Tokenisation: Considerations for Linking Healthcare Data Sets for Scientific Research |
Jennifer Dusendang,
Yuval Koren |
source
presentation source |
6 |
| PHUSE EU |
2025 |
Fit-For-Purpose Approach of RBQM in Small Clinical Trials [presentation] |
Alicja Mark,
Agnes Verhoeven |
source |
15 |
| PHUSE EU |
2025 |
Inverse Probability Weighting in Multiple Groups: Balancing Baseline Characteristics and Improving Precision of Average Treatment Effect Estimation |
Dimitris Karletsos |
source
presentation source |
11 |
| 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 |
One sample Log-Rank test for one sample survival studies: SAS code vs R code |
Giulio Pacini,
Menarini Ricerche,
Giulia Tonini,
Menarini Ricerche,
Simona Scartoni,
Menarini Ricerche |
source
presentation source |
5 |
| 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 |
Application of advanced GenAI tools in sample size estimation - questions and thoughts |
Igor Goldfarb,
Ella Zelichonok |
source |
12 |
| PharmaSUG |
2025 |
Beyond Tokenization: Considerations for Linking Healthcare Data Sets for Scientific Research |
Jennifer Dusendang,
Yuval Koren |
source |
7 |
| PharmaSUG |
2025 |
Mastering the Maze of Oncology Endpoints: A Unified SAS Approach for Randomized Controlled Trial Analysis |
Yuxin Wang,
Kelly Chao,
Wenqing Yu,
Hongbing Jin |
source |
11 |
| PharmaSUG |
2025 |
Promising Zone Designs for Sample Size Re-estimation in Clinical Trials: Graphical Approaches Using SAS |
Zhao Yang,
Shivani Nanda |
source |
18 |
| PharmaSUG |
2025 |
Simulating Optimal Sample Sizes for Canine Jaws Using SAS |
Chary Akmyradov,
Lida Gharibvand |
source |
11 |
| PharmaSUG |
2025 |
The Current State of Teaching Biostatistics in Academia: Challenges and Software Solutions |
Lida Gharibvand |
source |
5 |
| PharmaSUG |
2025 |
Time to Event Analysis from Sample Size Considerations to Results Interpretation in Simple Words |
Iryna Kotenko |
source |
8 |
| PHUSE US |
2025 |
Differential Privacy (DP) Approach for Sharing Survival Analysis Data |
Elena Valkanova,
Bulat Fatykhov |
source
poster source |
11 |
| PHUSE US |
2025 |
eProtocol and the Promise of Automation |
Bill Qubeck,
Suhas Giriraj |
source
presentation source |
17 |
| PHUSE US |
2025 |
More Than a p-Value: Understanding the Differences Between Clinical and Statistical Significance |
Jasperlynn Kao,
Elnaz Ghadimi |
source
presentation source |
4 |
| PHUSE US |
2025 |
Revolutionising Cancer Trials with Adaptive Designs and Bayesian Analysis |
Navneet Jha |
source
presentation source |
11 |
| PHUSE US |
2025 |
The Role of Quantitative Bias Analysis (QBA) in Ensuring the Reliability of Real-World Evidence (RWE) in Regulatory Submissions |
Brian Gillette,
Tasha Nagamine |
source
presentation source |
6 |
| PHUSE US |
2025 |
Transforming Clinical Trials: Leveraging Bayesian Statistics in Innovative Trial Design, Analysis, Applications and Navigating Challenges |
Jaskaran Singh Saini |
source
presentation source |
11 |
| MWSUG |
2024 |
Best Practices for Efficiency and Code Optimization in SAS programming |
Jayanth Iyengar |
source |
20 |
| MWSUG |
2024 |
What if Proc Power Can't Help? Calculating Power via Simulation, Example with Count Regression |
Brandy R. Sinco,
Joceline Vu,
Pasithorn Suwanabol |
source |
16 |
| PHUSE EU |
2024 |
Failed Clinical Trials: How to Benefit From Negative Experience |
Anna Amosova |
source
presentation source |
13 |
| PHUSE EU |
2024 |
The Prentice-Wilcoxon Test to Study Time to Healing for Split Face, Double Blind, Dermatology Clinical Trials |
Shrutimita Pokhariyal,
Craig Wesselman |
source
presentation source |
10 |
| SESUG |
2024 |
Creating a Publication-Quality Multi-Panel Graph For Generalized Linear Model Analysis. |
Neeta Shenvi |
source |
19 |
| SESUG |
2024 |
Look Up Not Down: Advanced Table Lookups in Base SAS |
Jayanth Iyengar |
source |
20 |
| WUSS |
2024 |
Limit of Detection Calculation Methods Comparison for PCR-based Quantitative Studies using the SAS System |
Jesse Albert Canchola |
source |
13 |
| WUSS |
2024 |
Simulating Optimal Sample Sizes for Joyful Canine Jaws Using SAS |
Chary Akmyradov,
Lida Gharibvand |
source |
11 |
| WUSS |
2024 |
Ten Tips for Simulating Data with SAS [presentation] |
Rick Wicklin |
source |
34 |
| WUSS |
2024 |
The Current State of Teaching Biostatistics in Academia [presentation] |
Lida Gharibvand |
source |
14 |
| PharmaSUG CN |
2024 |
Implementation on concentration-QTc modeling |
Daoqing Li,
Deli Cao |
source |
20 |
| PharmaSUG CN |
2024 |
Sample size calculation for comparing two groups of count data in clinical trials |
Lijuan Lin |
source |
8 |
| PharmaSUG |
2024 |
Generative Artificial Intelligence in sample size estimation - challenges, pitfalls, and conclusions |
Igor Goldfarb,
Vikas Sharma |
source |
26 |
| PHUSE US |
2024 |
Comparison of Standard Log-Rank Test with Selected Alternatives |
Elena Valkanova,
Bulat Fatykhov |
source
poster source |
18 |
| PHUSE US |
2024 |
EOSS_MMRM V1.0: A Shiny Application for Estimand-Oriented Sample Size and Power Simulation Using MMRM Modelling |
Xiaoli Kong,
Jing Dai |
source
presentation source |
8 |
| PHUSE US |
2024 |
SAS PROC MI: Your Impeccable Tool for Enhanced Data Analysis Through the Lens of Multiple Imputation |
Anush Kurghinyan,
Shahrzad Talebian |
source
presentation source |
7 |
| PHUSE EU |
2023 |
Optimizing Clinical Trial Design with Real-Time Sample Size Calculation and Enrollment Projection: A Shiny Dashboard Solution |
Dony Sabu |
source
presentation source |
5 |
| PHUSE EU |
2023 |
Size matters - sample size calculation with SAS and R |
Fenja Seither |
source
presentation source |
4 |
| WUSS |
2023 |
The Delta Method in Statistical Inference, with Applications in the SAS IML Procedure |
Carter Sevick,
Camille Moore,
Samantha MaWhinney |
source |
14 |
| WUSS |
2023 |
Univariate Outlier Detection Using SAS |
Fan Yang |
source |
12 |
| WUSS |
2023 |
What's next after model comparison? Model selection and model averaging in SAS |
Chong Ho Yu,
Charlene Yang |
source |
14 |
| SESUG |
2023 |
%modelselect: A macro for automatically selecting statistical models based on fit statistics |
William B. Smith |
source |
7 |
| SESUG |
2023 |
Best Practices for Efficiency and Code Optimization in SAS programming |
Jayanth Iyengar |
source |
20 |
| SESUG |
2023 |
How to use SAS POWER procedure to plan a study |
Xiaofeng (Steven) Liu |
source |
4 |
| SESUG |
2023 |
Wald Tests in Mixed Models - a Warning |
David A. Dickey |
source |
20 |
| PharmaSUG |
2023 |
Best Practices for Efficiency and Code Optimization in SAS programming |
Jayanth Iyengar |
source |
20 |
| PharmaSUG |
2023 |
Meta-Analysis in R |
Lin Gu |
source |
8 |
| PharmaSUG |
2023 |
Real World Evidence in Distributed Data Networks: Lessons from a Post-Marketing Safety Study |
Matthew T. Slaughter,
Denis Nyongesa,
John Dickerson,
Jennifer Kuntz |
source |
7 |
| PharmaSUG |
2023 |
Shifting the drug development paradigm with Adaptive Design and master protocol |
Aman Bahl |
source |
16 |
| PharmaSUG |
2023 |
Smart Use of SAS Output System and SAS Macro for Statistic Test Selection |
Mengxi Wang |
source |
10 |
| PHUSE US |
2023 |
Common Sample Size Calculations for Phase I/IIa Clinical Trials [presentation] |
Aayush Bhoraskar |
source
video |
13 |
| PHUSE US |
2023 |
Handling Multiple Adaptations in One Clinical Trial |
Parvee Kumar,
Shrutimita Pokhariyal |
source
presentation source |
6 |
| PHUSE US |
2023 |
Parametric Event-prediction for Time-to-event Data in Clinical Trials [presentation] |
Jingyuan Chen,
Weijie Zhang |
source
video |
22 |
| PHUSE EU |
2022 |
Adaptive Design - Better Bend Than Break [presentation] |
Albin John,
Athira Sudhakar |
source |
15 |
| PHUSE EU |
2022 |
Inference from weighted subjects |
Andrea Parodi |
source
poster source |
4 |
| SESUG |
2022 |
A SAS Macro for Implementing a Nonparametric Control Charting Scheme for Individual Observations |
Austin R. Brown |
source |
11 |
| SESUG |
2022 |
Invoking Survey Weights to Calculate Bayes' Factor with PROC MCMC to Generate More Generalizable Inferences |
Tyler Hicks,
Graham G. Rifenbark |
|
9 |
| WUSS |
2022 |
Best Practices for Efficiency and Code Optimization in SAS programming |
Jayanth Iyengar |
source |
21 |
| WUSS |
2022 |
Customizable SAS Graphs for Bias Analysis |
Natasha Oza,
Jesse Albert Canchola |
source |
26 |
| PharmaSUG |
2022 |
An Expanded Set of SAS Macros for Calculating Confidence Limits and P-values Under Simon's Two-Stage Design Accounting for Actual and Planned Sample Sizes |
Mikhail Melikov,
Alex Karanevich |
source |
8 |
| PharmaSUG |
2022 |
Analysis of sample size calculations in clinical trial - errors, pitfalls and conclusions |
Igor Goldfarb,
Ritu Karwal,
Xiaohua Shu |
source |
14 |
| PharmaSUG |
2022 |
Look Up Not Down: Advanced Table Lookups in Base SAS |
Jayanth Iyengar,
Joshua M. Horstman |
source |
28 |
| PharmaSUG |
2022 |
Orchestrating Clinical Sequels with a Strategic Wand - Challenges of introducing Rolling CSRs in a Master Protocol |
Neharika Sharma |
source |
9 |
| PharmaSUG |
2022 |
Simple and Efficient Bootstrap Validation of Predictive Models Using SAS/STAT Software |
Matthew T. Slaughter,
Isaiah Lankham |
source |
22 |
| PharmaSUG |
2022 |
Two Methods to Collapse Two Treatment Groups into One Group |
Kenneth S. Liu,
Ziqiang Chen |
source |
6 |
| PharmaSUG |
2022 |
Win Ratio Simulation For Power Calculation Made Easy |
Lili Li,
Roger Chang,
Benjamin Fine,
Yu-Chen Su |
source |
13 |
| PHUSE EU |
2021 |
Clinical Design - Visualisation and Analysis Using the Interactive Application by R Shiny |
Athira Sudhakar,
Mahesh Divakaran |
source
video |
7 |
| PHUSE EU |
2021 |
Preparing PK/PD ADaM Datasets and eCRT Data Package for FDA Submission |
Junying Zhang |
source
video
presentation source |
11 |
| PHUSE EU |
2021 |
R and SAS Working Together - DNR's Experience Moving to LSAF 5.3 [presentation] |
Paul Vervuren |
source
video |
17 |
| SESUG |
2021 |
A SAS Macro Program to Calculate the Fragility Index |
Tamar C. Roomian |
source |
9 |
| SESUG |
2021 |
Asking the Right Questions: Designing Surveys to Produce Valid and Reliable Results |
Barbara B. Okerson |
source |
7 |
| SESUG |
2021 |
Back to Basics: Running an Analysis from Data to Refinement in SAS |
Deanna Naomi Schreiber-Gregory |
source |
21 |
| SESUG |
2021 |
Converting Remeasurement Data into Percentile Ranks Based on Baseline Data Using PROC SQL: Patient Experience Measures for CMS Value-Based Purchasing Program |
Jenhao Jacob Cheng |
source |
7 |
| SESUG |
2021 |
Screening, Binning, Transforming Predictors for a Generalized Logit Model |
Bruce S. Lund |
source |
17 |
| PHUSE US |
2021 |
A Bayesian Approach to Detection of Treatment-related Effects in Toxicology Studies by Borrowing Information from Historical Control Animals [presentation] |
Kevin Snyder,
Md Yousuf Ali |
source
video |
15 |
| 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 |
Back to Basics: Running an Analysis from Data to Refinement in SAS |
Deanna Naomi Schreiber-Gregory |
source |
21 |
| SGF |
2021 |
A Framework for Simple and Efficient Bootstrap Validation in SAS, with Examples |
Isaiah Lankham,
Matthew T. Slaughter |
source |
22 |
| SGF |
2021 |
Back to Basics: Running an Analysis from Data to Refinement in SAS |
Deanna Naomi Schreiber-Gregory |
source
presentation |
20 |
| 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 |
Montreal Cognitive Assessment, Mini-Mental State Examination: Impairment & Dementia Cutoff Points |
Feier Han,
Zhen Wu,
Jing Shang,
Yutong Zhang |
source
presentation |
8 |
| SGF |
2021 |
Weight of Evidence, Dummy Variables and Degrees of Freedom |
Bruce S. Lund |
source
sas
presentation
pdf |
15 |
| PHUSE EU |
2020 |
Re-scaling Weights to Effective Sample Size [presentation] |
Andrea Parodi,
Dimitri Petratchenko |
source
video |
25 |
| SESUG |
2020 |
A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education |
Deanna Naomi Schreiber-Gregory |
source |
13 |
| SESUG |
2020 |
Custom SAS Studio Tasks for All Occasions |
John Stephen Taylor |
source |
10 |
| SESUG |
2020 |
Look Up Not Down: Advanced Table Lookups in Base SAS |
Jayanth Iyengar,
Joshua M. Horstman |
source |
28 |
| 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 Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education |
Deanna Naomi Schreiber-Gregory |
source |
13 |
| SGF |
2020 |
A Warning about Wald Tests |
David A. Dickey |
source |
20 |
| SGF |
2020 |
Bayesian Sequential Monitoring of Clinical Trials Using SAS |
Matthew A. Psioda |
source |
13 |
| SGF |
2020 |
Combination Weighted Log-rank Tests for Survival Analysis with Non-proportional Hazards |
Andrea Knezevic,
Sujata Patil |
source |
10 |
| SGF |
2020 |
Dealing with Missing Data in Epidemiological and Clinical Research |
Andrew T. Kuligowski,
Lida Gharibvand |
source |
6 |
| SGF |
2020 |
Fitting Statistical Models with PROC MCMC |
Mark Ghamsary |
source |
26 |
| SGF |
2020 |
From Santiago to the Spirit Lake Nation: 30 Things I Learned in 30 Years as a Statistical Consultant |
AnnMaria De Mars |
source |
20 |
| SGF |
2020 |
Mixed-Effects Models and Complex Survey Data with the GLIMMIX Procedure |
L. Grisell Diaz-Ramirez,
Bocheng Jing |
source |
10 |
| SGF |
2020 |
Sample Size Calculations Using SAS, R, and nQuery Software |
Jenna Cody |
source |
19 |
| SGF |
2020 |
Simple and Efficient Bootstrap Validation of Predictive Models Using SAS/STAT Software |
Isaiah Lankham,
Matthew T. Slaughter |
source
github |
15 |
| SGF |
2020 |
Simulating Data for Complex Linear Models |
Phil Gibbs,
Kathleen Kiernan |
source |
20 |
| SGF |
2020 |
Surviving the Cox Proportional Hazards Model with the POWER Procedure |
Rachel R. Baxter |
source |
6 |
| SGF |
2020 |
Testing Hypotheses for Equivalence and Non-inferiority with Binary and Survival Outcomes |
Joseph C. Gardiner |
source |
23 |
| SGF |
2020 |
Time After Time: D-I-D and ITS Models in SAS |
Margaret Warton |
source |
21 |
| SGF |
2020 |
Transdermal Medicine - Challenges and Solutions with SAS |
Marina Komaroff |
source |
14 |
| PharmaSUG |
2020 |
A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education |
Deanna Naomi Schreiber-Gregory |
source |
14 |
| PharmaSUG |
2020 |
Implementing Quality Tolerance Limits at a Large Pharmaceutical Company |
Steven A. Gilbert |
source |
13 |
| PharmaSUG |
2020 |
Oncology Graphs-Creation (Using SAS and R), Interpretation and QA |
Taniya Muliyil |
source |
10 |
| PharmaSUG |
2020 |
Principal Stratum strategy for handle intercurrent events: a causal estimand to avoid biased estimates |
Andrea Nizzardo,
Giovanni Marino Merlo,
Simona Scartoni |
source |
13 |
| PharmaSUG |
2020 |
Sample size and HR confidence interval estimation through simulation of censored survival data controlling for censoring rate |
Giulia Tonini,
Letizia Nidiaci,
Simona Scartoni |
source |
10 |
| PHUSE US |
2020 |
Accelerating Translational Research by Leveraging AI and Machine Learning |
Leveraging AI |
source
presentation source |
9 |
| PHUSE US |
2020 |
Assessing Non-inferiority and Equivalence from Survival Data |
Chintan Arora,
Parvee Kumar |
source
presentation source |
7 |
| PHUSE US |
2020 |
Data Science Project (Educating for the Future Working Group) |
Aldir Medeiros Filho,
Sascha Ahrweiler |
source
presentation source |
10 |
| PHUSE US |
2020 |
Sample Size Re-estimation in Action: Design Consideration, Charter Development and Implementation [poster] |
Adam Hamm |
source |
1 |
| PHUSE EU |
2019 |
Basics of Dataset Integration |
Pradeep Kumar |
source
presentation source |
4 |
| PHUSE EU |
2019 |
Bioequivalence Testing for Highly Variable Drug Products (HVDPs) |
James R. Johnson |
source
presentation source |
9 |
| PHUSE EU |
2019 |
Pharmacokinetic and Statistical Considerations in First-in-Human Clinical Trials |
Joanna Magielse |
source
presentation source |
4 |
| SESUG |
2019 |
Bootstrapping Regression Models using PROC SURVEYSELECT |
Bryce Whitehead,
Austin R. Brown |
source |
7 |
| SESUG |
2019 |
Extending the Finkelstein-Schoenfeld test and Win Ratio to three composite Outcomes Using SAS |
Matheos Yosef,
Shokoufeh Khalatbari,
Scott Hummel |
source |
4 |
| SESUG |
2019 |
Time Series Forecasting using PROC MCMC SESUG 2019 |
Murali Sastry,
Tyler Hicks |
source |
16 |
| 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 |
Look Up Not Down: Advanced Table Lookups in Base SAS |
Jayanth Iyengar,
Joshua M. Horstman |
|
24 |
| MWSUG |
2019 |
Sample Size and Design Considerations in Studies Assessing Non-Inferiority using Continuous Outcomes |
Michael G. Wilson |
|
19 |
| MWSUG |
2019 |
Simulating Skewed Multivariate Distributions Using SAS: Cases of Lomax, Mardia's Pareto (Type I), Logistic, Burr and F Distributions |
Zhixin Lun,
Ravindra Khattree |
|
11 |
| WUSS |
2019 |
Implementing the Hamiltonian Monte Carlo Sampling algorithm in PROC MCMC |
Elsa Vazquez Arreola |
source |
10 |
| WUSS |
2019 |
Statistical Power Calculations Using SAS Software |
Russell M. Lavery |
source |
18 |
| PharmaSUG |
2019 |
A macro of evaluating the performance of the log-rank test using different weight for enrichment studies |
Chuanwu Zhang,
Byron J. Gajewski,
Jianghua(Wendy) He |
source |
13 |
| PharmaSUG |
2019 |
China NMPA (National Medical Products Administration) reform and new regulations/guidelines/requirements |
Yi Yang |
source |
11 |
| PharmaSUG |
2019 |
Enhancing Randomization Methodology Decision-Making with SAS Simulations |
Kevin Venner,
Jennifer Ross,
Kyle Huber,
Graham Nicholls |
source |
15 |
| PharmaSUG |
2019 |
Equivalence, Superiority and Non-inferiority with Classical Statistical Tests: Implementation and Interpretation |
Marina Komaroff |
source |
7 |
| PharmaSUG |
2019 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
source |
21 |
| PharmaSUG |
2019 |
Practical Perspective in Sample Size Determination |
Bill Coar |
source |
16 |
| PharmaSUG |
2019 |
Sample Size Determination with SAS Studio |
Bill Coar |
source |
13 |
| PharmaSUG |
2019 |
Statistical Assurance in SAS: An Introduction and User-s Guide |
Jonathan L Moscovici,
Milena Kurtinecz |
source |
8 |
| SGF |
2019 |
Dynamic Call Center Simulation in SAS: Revamping the Business Resiliency Process at JPMorgan Chase |
Jay P. Carini,
Amy Pielow,
Joel C. Weaver |
source |
16 |
| SGF |
2019 |
Optimizing Product Assortment with Total Unduplicated Reach and Frequency Analysis in SAS/OR |
Jay Laramore |
source |
16 |
| SGF |
2019 |
Review and Comparing (Analyzing) Relationship between Teacher Judgment and Student Performance in North Carolina |
Sareh Meshkinfam,
Julie S. Ivy,
Amy C. Reamer |
source |
15 |
| SGF |
2019 |
Sample Size Determination with SAS Studio |
William Coar |
source |
13 |
| SGF |
2019 |
Using SAS MACRO to Demonstrate Data Presentation Standards for Proportions |
Mary Ann Bush,
Nazik Elgaddal |
source |
12 |
| PHUSE US |
2019 |
Misuse and Misapplication in Statistical Data Analysis - A Topic that Never Goes Out of Style |
Corinna Miede |
source
presentation source |
12 |
| PHUSE EU |
2018 |
Sample Size: A Couple More Hints to Handle it Right Using SAS and R |
Andrii Artemchuk |
source
presentation source |
11 |
| SESUG |
2018 |
Efficient DATA Step Random Sampling Out Of Thin Air |
Paul M. Dorfman |
source |
16 |
| SESUG |
2018 |
Introduction to Data Simulation |
Jason Brinkley |
source |
9 |
| SESUG |
2018 |
Investigation of Impact on Smoking due to Vaporizing in High Schools |
Justin Williams |
source |
17 |
| SESUG |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory,
Henry M. Jackson |
source |
22 |
| MWSUG |
2018 |
A Macro to Calculate Sample Size for Studies Using the Proportional Time Assumption |
Brian Mosier,
John Keighley,
Milind Phadnis |
|
7 |
| MWSUG |
2018 |
Logistic and Linear Regression Assumptions: Violation Recognition and Control |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
|
22 |
| MWSUG |
2018 |
Pan-Cancer Epigenetic Biomarker Selection from Blood Sample Using SAS |
Xi Chen,
Jin Xie,
Qingcong Yuan |
|
9 |
| MWSUG |
2018 |
Using your FREQ effectively: Displays to Decipher Proportional Odds in Ordinal Regression |
Robert G. Downer |
|
11 |
| WUSS |
2018 |
Agreeing to Disagree: Using SAS to Make Reasoned Decisions When Information Criteria Select Different Models |
Wendy Christensen |
source |
10 |
| WUSS |
2018 |
Analyzing international assessments: An ensemble and model comparison approach |
Chong Ho Yu,
Hyun Seo Lee,
Siyan Gan,
Emily Lara |
source |
13 |
| 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 |
| PHUSE US |
2018 |
Adverse Event Analysis - One step forward! |
Anuja Rasal |
source
presentation source |
11 |
| PHUSE US |
2018 |
Interim Survival Analysis Across 3 Platforms |
Venita DePuy |
source
presentation source |
22 |
| PHUSE US |
2018 |
Planning and Executing a Two-Stage Adaptive Design with Interim Analysis [poster] |
Katy Jaffee |
source |
1 |
| PharmaSUG |
2018 |
Implementation of ADaM Basic Data Structure on Genetic Variation Data for Pharmacogenomics Studies |
Linghui Zhang |
source |
10 |
| PharmaSUG |
2018 |
Improved Transparency in Key Operational Decisions in Real World Evidence |
Rebecca Levin,
Irene Cosmatos |
source |
11 |
| PharmaSUG |
2018 |
Leveraging Standards for Effective Visualization of Early Efficacy in Clinical Trial Oncology Studies |
Kelci J. Miclaus,
Lili Li |
source |
12 |
| PharmaSUG |
2018 |
Visually Exploring Odds Ratios between Risk Factors for Fetal and Infant Mortality in Kent County, MI |
Ruth Kurtycz |
source |
11 |
| SGF |
2018 |
Bayesian Concepts: An Introduction |
John Amrhein,
Fei Wang |
source |
10 |
| SGF |
2018 |
Getting Started with Survival Analysis |
Marc Huber |
source |
76 |
| SGF |
2018 |
Model Selection Using Information Criteria (Made Easy in SAS ) |
Wendy Christensen |
source |
12 |
| SGF |
2018 |
Power Analysis for Generalized Linear Models Using the New CUSTOM Statement in PROC POWER |
John M. Castelloe |
source |
17 |
| 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 Visual Investigator to Enforce Model Tuning Best Practices in a Regulatory Environment |
Scott Wood |
source |
15 |
| SESUG |
2017 |
Binning of Predictors for the Cumulative Logit Model |
Bruce S. Lund |
source |
20 |
| SESUG |
2017 |
Missing Data and Complex Sample Surveys Using SAS: The Impact of Listwise Deletion vs. Multiple Imputation Methods on Point and Interval Estimates when Data are MCAR, MAR, and MNAR |
Listwise Deletion |
source |
26 |
| SESUG |
2017 |
Removing the Mask of Average Treatment Effects in Chronic Lyme Disease Research Using Big Data and Sub-Group Analysis |
Mira Shapiro,
Lorraine Johnson |
source |
9 |
| SESUG |
2017 |
SAS In The Classroom: Exploratory Data Analysis with SAS Studio |
Jonathan W. Duggins |
source |
20 |
| SESUG |
2017 |
Tips and Tricks for Raking Survey Data with Advanced Weight Trimming |
Michael P. Battaglia |
source |
12 |
| 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 |
| PHUSE EU |
2017 |
Power Calculation in a Multi-Stage Design, Following the Main Endpoint, A Binomial DIstribution |
Antonio Nieto,
Javier Gómez |
source
presentation source |
4 |
| PHUSE EU |
2017 |
SAS Performance Qualification for Clinical Programmers |
Tatiana Volodina,
Andrey Myslivets |
source
presentation source |
8 |
| PHUSE EU |
2017 |
Surviving your Statistician: A Programmer's Guide to Survival Analysis |
James Diserens |
source
presentation source |
11 |
| PHUSE EU |
2017 |
The Model Statistician Insights into Model Selection Techniques in Clinical Trials |
Peter Williams |
source
presentation source |
6 |
| PHUSE EU |
2017 |
Visualizing Multiple Endpoints: Extending the Use of Forest Plots in Clinical Trials |
James R. Johnson,
Mark Jaros |
source
presentation source |
10 |
| MWSUG |
2017 |
Logistic Model Selection with SAS PROC's LOGISTIC, HPLOGISTIC, HPGENSELECT |
Bruce S. Lund |
|
18 |
| MWSUG |
2017 |
Untangle Customer's Incrementality using Uplift Modeling with a Case Study on Direct Marketing Campaign |
Hairong Gu,
Yi Cao,
Chao Xu |
|
8 |
| WUSS |
2017 |
Variance Ratio Estimation Using the PRECMOD SAS Macro |
Jesse Albert Canchola,
Pari Hemyari |
source |
12 |
| PharmaSUG |
2017 |
Removing the Mask of Average Treatment Effects in Chronic Lyme Disease Research Using Big Data and Sub-Group Analysis |
Mira Shapiro,
Lorraine Johnson |
source |
9 |
| SGF |
2017 |
Analytics Using SAS Customer Intelligence: Multivariate Testing Processes for Digital Marketing Campaigns |
Thomas Lehman |
source |
9 |
| SGF |
2017 |
Choose Carefully! An Assessment of Different Sample Designs on Estimates of Official Statistics |
Leesha Delatie-Budair,
Jessica Campbell |
source |
14 |
| SGF |
2017 |
Cold-Start Solution to A/B Testing Using Adaptive Sample Size Modification |
Bo Zhang,
Liwei Wang |
source |
9 |
| SGF |
2017 |
Continuous Predictors in Regression Analyses |
Ruth Croxford |
source |
12 |
| SGF |
2017 |
Developing a Predictive Model of Physician Attribution of Patient Satisfaction Surveys |
Ken Ferrell |
source |
5 |
| SGF |
2017 |
Differentiate Effects from the Noise of Promotional Marketing Campaigns |
Alex Glushkovsky,
Matthew Fabian |
source |
9 |
| SGF |
2017 |
Estimation Strategies Involving Pooled Survey Data |
Taylor Lewis |
source |
15 |
| SGF |
2017 |
Interrupted Time Series Power Calculation using DO Loop Simulations |
Nigel Rozario,
Andrew McWilliams,
Charity Moore |
source |
15 |
| SGF |
2017 |
Multivariate Time Series: Recent Additions to the VARMAX Procedure |
Xilong Chen,
Stefanos Kechagias |
source
zip |
14 |
| SGF |
2017 |
Outline Outliers: Adding a Business Sense |
Alex Glushkovsky |
source |
17 |
| 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 |
SAS Macros for Computing the Mediated Effect in the Pretest-Posttest Control Group Design |
David P. MacKinnon |
source |
10 |
| SESUG |
2016 |
Introduction to Data Simulation |
Jason Brinkley |
source |
8 |
| SESUG |
2016 |
Missing Data and Complex Sample Surveys Using SAS: The Impact of Listwise Deletion vs. Multiple Imputation on Point and Interval Estimates when Data are MCAR and MAR |
Anh P. Kellermann,
DeAnn Trevathan,
Jeffrey D. Kromrey |
source |
12 |
| 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 |
Surviving the Interim: Insights Into Interim Survival Analyses |
Venita DePuy |
source |
31 |
| SESUG |
2016 |
Using JMP to apply Decision Trees and Random Forests as Screening Tools for Limiting Candidate Predictors in Regression Models |
Jason Brinkley |
source |
10 |
| SESUG |
2016 |
Using SAS/QC to Design Optimal Experimental Designs in Consumer Lending |
Jonas V. Bilenas |
source |
12 |
| PHUSE EU |
2016 |
Considerations in the Use of Propensity Scoresin Observational Studies |
Lawrence Rasouliyan,
Estel Plana |
source
presentation source |
17 |
| MWSUG |
2016 |
Frequentist and Bayesian Interim Analysis in Clinical Trials: Group Sequential Testing and Posterior Predictive Probability Monitoring Using SAS |
Kechen Zhao |
|
14 |
| WUSS |
2016 |
Bayesian Concepts: An Introduction |
John Amrhein |
source |
8 |
| WUSS |
2016 |
Customizing Plots to Your Heart's Content Using PROC GPLOT and the Annotate Facility |
Debbie Huang |
source |
9 |
| WUSS |
2016 |
Equivalence Tests |
John Amrhein,
Fei Wang |
source |
9 |
| WUSS |
2016 |
Knowledge is Power: The Basics of SAS Proc Power |
Elaina Gates |
source |
5 |
| WUSS |
2016 |
Selection Bias: How Can Propensity Score Utilization Help Control For It? |
Deanna Naomi Schreiber-Gregory |
source |
13 |
| PharmaSUG |
2016 |
Empowering Users By Creating Data Visualization Applications In R/Shiny |
Sudhir Singh,
Brian Munneke,
Amulya R. Bista,
Jeff Cai |
source |
8 |
| PharmaSUG |
2016 |
Everything or Nothing - A Better Confidence Intervals for Binomial Proportion in Clinical Trial Data Analysis |
Sakthivel Sivam,
Subbiah Meenakshisundaram |
source |
8 |
| PharmaSUG |
2016 |
What makes a "Statistical Programmer" different from a "Programmer" |
Arun Raj Vidhyadharan,
Sunil Mohan Jairath |
source |
12 |
| SGF |
2016 |
Correcting the Quasi-complete Separation Issue in Logistic Regression Models |
Xinghe Lu |
source |
10 |
| SGF |
2016 |
Cyclist Death and Distracted Driving: Important Factors to Consider |
Lysbeth Floden,
Melanie Bell,
Patrick O'Connor |
source |
12 |
| SGF |
2016 |
Do SAS High-Performance Statistics Procedures Really Perform Highly ? A Comparison of HP and Legacy Procedures |
Diep T. Nguyen,
Sean Joo,
Anh P. Kellermann,
Jeffrey D. Kromrey,
Jessica Montgomery,
Patricia Rodríguez de Gil,
Yan Wang |
source
presentation |
10 |
| SGF |
2016 |
Equivalence Tests |
Fei Wang,
John Amrhein |
source |
9 |
| SGF |
2016 |
Finding and Evaluating Multiple Candidate Models for Logistic Regression |
Bruce S. Lund |
source
zip |
17 |
| SGF |
2016 |
Medicare Fraud Analytics Using Cluster Analysis: How PROC FASTCLUS Can Refine the Identification of Peer Comparison Groups |
Paulo Macedo |
source
zip |
9 |
| SGF |
2016 |
Multiple-Group Multiple Imputation: An Empirical Comparison of Parameter Recovery in the Presence of Missing Data using SAS |
Patricia Rodríguez de Gil,
Jeffrey D. Kromrey |
source |
15 |
| SGF |
2016 |
PROC GLIMMIX as a Teaching and Planning Tool for Experiment Design |
Walter W. Stroup |
source
zip |
19 |
| SGF |
2016 |
Sampling in SAS using PROC SURVEYSELECT |
Rachael Becker,
Drew Doyle |
source
presentation |
18 |
| SGF |
2016 |
The HPSUMMARY Procedure: An Old Friend's Younger (and Brawnier) Cousin |
Anh P. Kellermann,
Jeffrey D. Kromrey |
source
presentation |
9 |
| 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 Administrative Databases for Research: Propensity Score Methods to Adjust for Bias |
Ruth Croxford |
source |
10 |
| SGF |
2016 |
Using the SURVEYSELECT Procedure to Draw Stratified Cluster Samples with Unequally Sized Clusters |
Chuanjie Liao,
Brian Patterson |
source
presentation |
11 |
| SGF |
2016 |
What's the Difference? |
David A. Dickey |
source |
17 |
| MWSUG |
2015 |
Fitting and Evaluating Logistic Regression Models |
Bruce S. Lund |
|
26 |
| PHUSE EU |
2015 |
Bias Reduction in Observational Cohort Studies - Obtaining Matched Cohorts Using Propensity Scores |
Shelley Fordred,
Victor Kiri |
source
presentation source |
8 |
| PHUSE EU |
2015 |
Establish the Maximum Tolerated Dose in Phase 1 Trials Using the 3+3 Method |
Anup Pillai |
source
presentation source |
12 |
| SESUG |
2015 |
A SAS Macro to Investigate Statistical Power in Meta-analysis |
Jin Liu,
Fan Pan |
source |
5 |
| SESUG |
2015 |
ANOVA_Robust: A SAS Macro for Various Robust Approaches to Testing Mean Differences in One-Factor ANOVA Models |
Thanh V. Pham,
Eun Sook Kim,
Diep T. Nguyen,
Yan Wang,
Jeffrey D. Kromrey,
Yi-Hsin Chen |
source |
14 |
| SESUG |
2015 |
Can Fit Indices Yielded from the SAS GLIMMIX Procedure Select the Accurate Q-matrix? |
Yan Wang,
Yi-Hsin Chen,
Isaac Y. Li,
Chunhua Cao |
source |
8 |
| SESUG |
2015 |
Comparing Results from Cox Proportional Hazards Models using SUDAAN and SAS Survey Procedures to a Logistic Regression Model for Analysis of Influenza Vaccination Coverage |
Yusheng Zhai,
K. E. Kahn,
A. O'Halloran |
source |
13 |
| SESUG |
2015 |
Design of Experiments (DOE) Using JMP and SAS |
Charles E. Shipp |
source |
4 |
| SESUG |
2015 |
High-Performance Procedures in SAS 9.4: Comparing Performance of HP and Legacy Procedures |
Jessica Montgomery,
Sean Joo,
Anh P. Kellermann,
Jeffrey D. Kromrey,
Diep T. Nguyen,
Patricia Rodríguez de Gil,
Yan Wang |
source |
10 |
| SESUG |
2015 |
MIXED_RELIABILITY: A SAS Macro for Estimating Lambda and Assessing the Trustworthiness of Random Effects in Multilevel Models |
Jason A. Schoeneberger,
Bethany A. Bell |
source |
10 |
| SESUG |
2015 |
Sampling in SAS using PROC SURVEYSELECT |
Drew Doyle,
Rachael Becker |
source |
17 |
| SESUG |
2015 |
Using PROC SURVEYSELECT: Random Sampling |
Raissa Kouadjo Bordenave |
source |
14 |
| SESUG |
2015 |
Using SAS to Create an Effect Size Resampling Distribution for a Statistical Test |
Peter S. Wludyka |
source |
10 |
| WUSS |
2015 |
Approximation methods and quadrature points in PROC NLMIXED: A simulation study using structured latent curve models |
Nate Smith,
Shelley A. Blozis |
source |
10 |
| WUSS |
2015 |
Illustrating preliminary procedures for multi-dimensional item response theory |
Chong Ho Yu,
Samantha Douglas,
Anna Yu |
source |
11 |
| WUSS |
2015 |
Sample Size Convergence of Denominator Degrees of Freedom Method Options in SAS PROC MIXED |
Timothy Banh |
source |
13 |
| WUSS |
2015 |
Yes, PROC FREQ does that! |
AnnMaria De Mars |
source |
15 |
| PharmaSUG CN |
2015 |
Clinical trials optimization: Monte Carlo Simulation modeling and SAS applications |
Ye Meng |
|
5 |
| PharmaSUG CN |
2015 |
Comparison of Three Methods in Calculating Confidence Intervals for Rate Differences in Non-inferior Clinical Trials |
Yaohua Huang |
|
4 |
| PharmaSUG |
2015 |
Analysis Methods for a Sequential Parallel Comparison Design (SPCD) |
Harry Haber,
James Zuazo,
Linda LaMoreaux |
source |
11 |
| PharmaSUG |
2015 |
Missing Data For Repeated Measures: Single Imputation VS Multiple Imputation |
Giulia Tonini,
Simona Scartoni,
Camilla Paoli,
Andrea Nizzardo,
Angela Capriati |
source |
10 |
| PharmaSUG |
2015 |
Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad |
Arthur L. Carpenter |
source |
9 |
| SGF |
2015 |
"Puck Pricing": Dynamic Hockey Ticket Price Optimization |
Christopher Jones,
Sabah Sadiq,
Jing Zhao |
source |
10 |
| 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 |
Automation of Statistics Summary for Census Data in SAS [presentation] |
Janet Lee |
source |
5 |
| SGF |
2015 |
Equivalence and Noninferiority Testing Using SAS/STAT Software |
John M. Castelloe,
Donna Watts |
source |
23 |
| SGF |
2015 |
Imputing Missing Data using SAS |
Christopher Yim |
source |
9 |
| SGF |
2015 |
Reducing the Bias: Practical Application of Propensity Score Matching in Healthcare Program Evaluation |
Amber Schmitz,
Jessica Navratil-Strawn,
Stephen Hartley,
Ronald J. Ozminkowski |
source |
7 |
| SGF |
2015 |
Statistical Analysis of Publicly Released Survey Data with SAS/STAT Software SURVEY Procedures |
Donna Brogan |
source |
20 |
| SGF |
2015 |
Sums of Squares: The Basics and a Surprise |
Sheila Barron,
Michelle Mengeling |
source |
8 |
| 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 |
Using SAS/STAT Software to Implement a Multivariate Aadaptive Outlier Detection Approach to Distinguish Outliers from Extreme Values |
Paulo Macedo |
source |
12 |
| SCSUG |
2014 |
Design of Experiments (DOE) Using JMP |
Charles E. Shipp |
|
4 |
| SCSUG |
2014 |
Using SAS to Manage Biological Species Data and Calculate Diversity Indices |
Paul Montagna |
|
5 |
| SESUG |
2014 |
%DISCIT Macro: Pre-screening continuous variables for subsequent binary logistic regression analysis through visualization |
Mohamed S. Anany |
source |
6 |
| SESUG |
2014 |
ANOVA_HOV: A SAS Macro for Testing Homogeneity of Variance in One-Factor ANOVA Models |
Diep T. Nguyen,
Thanh V. Pham,
Patricia Rodríguez de Gil,
Tyler Hicks,
Yan Wang,
Isaac Y. Li,
Aarti P. Bellara,
Jeanine L. Romano,
Eun Sook Kim,
Harold Holmes,
Yi-Hsin Chen,
Jeffrey D. Kromrey |
source |
12 |
| SESUG |
2014 |
Design of Experiments (DOE) Using JMP |
Charles E. Shipp |
source |
3 |
| SESUG |
2014 |
Design of Experiments (DOE) Using JMP |
Charles E. Shipp |
|
4 |
| SESUG |
2014 |
Impact of Q-matrix Misspecification on Cognitive Attribute Estimation in the Crossed Random Effects LLTM Model with the SAS GLIMMIX Procedure |
Yi-Hsin Chen |
|
11 |
| SESUG |
2014 |
Maximizing Confidence and Coverage for a Nonparametric Upper Tolerance Limit on the Second Largest Order Statistic for a Fixed Number of Samples |
Dennis J. Beal |
source |
5 |
| SESUG |
2014 |
Modeling Cognitive Processes of Learning with SAS Procedures |
Isaac Y. Li,
Yi-Hsin Chen,
Chunhua Cao,
Yan Wang |
source |
11 |
| SESUG |
2014 |
Strimmed_t: A SAS Macro for the Symmetric Trimmed t Test |
Diep T. Nguyen,
Anh P. Kellermann,
Eun Sook Kim |
source |
12 |
| SESUG |
2014 |
To foam or not to foam: A survival analysis of the foam head that forms when a soda is poured |
Kate Phillips |
source |
16 |
| 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 |
Data Challenges in Adaptive Trials |
Claudio Garutti |
source
presentation source |
5 |
| 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 |
The Quality System in Good Pharmacovigilance Practice (GVP) |
Veronique Chapalain |
source
presentation source |
9 |
| PHUSE EU |
2014 |
Unuttered Questions of Statistical Programmers |
Aparajita Dey |
source
presentation source |
10 |
| MWSUG |
2014 |
A SAS Macro Using Parallel Genetic Algorithm to Automate Variable Selection |
Jinqiao Li,
Yi Cao,
Yanping Shen |
|
19 |
| MWSUG |
2014 |
Comparing regression, propensity matching and coarsened exact matching in healthcare observational studies using SAS: An example from the Medical Expenditure Panel Survey (MEPS) |
Douglas Thompson |
|
16 |
| MWSUG |
2014 |
Design of Experiments (DOE) Using JMP |
Charles E. Shipp |
|
4 |
| MWSUG |
2014 |
Design of Experiments (DOE) Using JMP |
Charles E. Shipp |
|
3 |
| MWSUG |
2014 |
Reducing the Bias: Practical Application of Propensity Score Matching in Healthcare Program Evaluation |
Amber Schmitz,
Jessica Navratil-Strawn,
Stephen Hartley,
Ronald J. Ozminkowski |
|
7 |
| WUSS |
2014 |
A Statistical and Visual Exploration of the Surveillance, Epidemiology, and End Results (SEER) Database Using SAS |
Christopher Yim |
source |
10 |
| WUSS |
2014 |
Design of Experiments (DOE) Using JMP |
Charles E. Shipp |
source |
3 |
| WUSS |
2014 |
Design of Experiments (DOE) Using JMP [presentation] |
Charles E. Shipp |
|
16 |
| PharmaSUG |
2014 |
A SAS Macro to Evaluate Balance after Propensity Score Matching |
Erin Hulbert,
Lee Brekke |
source |
12 |
| PharmaSUG |
2014 |
Defining Non-Inferiority Margins for Skin Adhesion Studies |
Marina Komaroff,
Sailaja Bhaskar |
source |
12 |
| PharmaSUG |
2014 |
Design of Experiments (DOE) Using JMP |
Charles E. Shipp |
source |
4 |
| PharmaSUG |
2014 |
Factor Analysis of Scale for Assessment of Negative Symptoms using SAS Software |
Ben Adeyi,
David Shen |
source |
8 |
| PharmaSUG |
2014 |
Methodology for Non-Randomized Clinical Trials: Propensity Score Analysis |
Dan Conroy |
source |
5 |
| PharmaSUG |
2014 |
Reporting Healthcare Data: Understanding Rates and Adjustments |
Gregory S. Barnes Nelson |
source |
22 |
| 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 |
Application of Survey Sampling for Quality Control |
Yi Du |
source |
8 |
| SGF |
2014 |
Confirmatory Factor Analysis and Structural Equation Modeling of Non-cognitive Assessments Using PROC CALIS |
Steven L. Holtzman |
source |
11 |
| SGF |
2014 |
Measures of Fit for Logistic Regression |
Paul D. Allison |
source |
12 |
| SGF |
2014 |
Medical Scoring for Breast Cancer Recurrence |
Nurul Husna Jamian,
Yap Bee Wah,
Nor Aina Emran |
source |
13 |
| SGF |
2014 |
Modeling Ordinal Responses for a Better Understanding of Drivers of Customer Satisfaction |
Jorge Alejandro,
Sharon Kim |
source |
8 |
| SGF |
2014 |
P-values: Democrats or Dictators? |
Brenda Beaty,
Michelle Torok |
source |
4 |
| SGF |
2014 |
Parameter Estimation of Cognitive Attributes Using the Crossed Random-Effects Linear Logistic Test Model with PROC GLIMMIX |
Chunhua Cao,
Yan Wang,
Yi-Hsin Chen,
Isaac Y. Li |
source |
12 |
| 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 |
Reporting Healthcare Data: Understanding Rates and Adjustments |
Gregory S. Barnes Nelson |
source |
22 |
| SGF |
2014 |
Text Mining Reveals the Secret of Success: Identification of Sales Determinants Hidden in Customers' Opinions |
Rafal Wojdan |
source |
18 |
| 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 |
| SGF |
2014 |
Using SAS to Examine Internal Consistency and to Develop Community Engagement Scores |
Renee Gennarelli,
Melody S. Goodman |
source |
10 |
| WUSS |
2013 |
Competing risks regression: Big Data issues from modest sample sizes |
Katharine Kirby,
Deborah Barnes,
W. John Boscardin |
source |
4 |
| WUSS |
2013 |
Design of Experiments (DOE) Using JMP |
Charles E. Shipp |
source |
4 |
| WUSS |
2013 |
The Association of Morbid Obesity with Mortality and Coronary Revascularization among Patients with Acute Myocardial Infarction using ARRAYS, PROC FREQ and PROC LOGISTIC" |
Ashwini Erande,
Shaista Malik |
source |
11 |
| 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 |
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 |
Maximizing Confidence and Coverage for a Nonparametric Upper Tolerance Limit for a Fixed Number of Samples |
Dennis J. Beal |
source |
5 |
| SESUG |
2013 |
PROC SURVEYSELECT as a Tool for Drawing Random Samples |
Taylor Lewis |
source |
12 |
| SESUG |
2013 |
SAS Macros CORR_P and TANGO: Interval Estimation for the Difference Between Correlated Proportions in Dependent Samples |
Patricia Rodríguez de Gil,
Jeanine L. Romano,
Thanh Pham,
Diep T. Nguyen,
Jeffrey D. Kromrey,
Eun Sook Kim |
source |
9 |
| SESUG |
2013 |
Small Sample Equating: Best Practices using a SAS Macro |
Small Sample |
source |
14 |
| SESUG |
2013 |
Using Predetermined Factor Structures to Simulate a Variety of Data Conditions |
Kevin Coughlin,
Fort Myers |
source |
12 |
| PHUSE EU |
2013 |
Complex Randomisations Need Not Be Complex |
Fiona Brock |
source
presentation source |
4 |
| PHUSE EU |
2013 |
Posch-Bauer Seamless Test with SAS |
Antonio Nieto,
Javier Gómez |
source
presentation source |
4 |
| 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 |
Design of Experiments (DOE) Using JMP |
Charles E. Shipp |
|
4 |
| MWSUG |
2013 |
Marrying Customer Intelligence with Customer Segmentations to Drive Improvements to Your CRM Strategy |
Phil Krauskopf |
|
8 |
| MWSUG |
2013 |
Power Trip: A Road Map of PROC POWER |
Melissa Plets,
Julie Strominger |
|
4 |
| MWSUG |
2013 |
PROC SURVEYSELECT as a Tool for Drawing Random Samples |
Taylor Lewis |
|
12 |
| MWSUG |
2013 |
Reuse, Don't Reinvent: Extending Model Selection Using Recursive Macro |
Anca M Tilea,
Philip L Francis III |
|
5 |
| NESUG |
2013 |
Constructing a Table of Survey Data with Percent and Confidence Interval in every Direction |
David Izrael,
Sarah Ball,
Sara Donahue |
|
7 |
| NESUG |
2013 |
How to Handle Binomial Proportion with Zero Frequency |
Tulin Shekar |
|
11 |
| NESUG |
2013 |
Measuring Internal Consistency of Community Engagement using the ALPHA option of PROC CORR |
Renee Gennarelli,
Melody S. Goodman |
|
7 |
| NESUG |
2013 |
PROC SURVEYSELECT as a Tool for Drawing Random Samples |
Taylor Lewis |
|
14 |
| PharmaSUG |
2013 |
Bayesian Analysis of Survival Data with SAS PHREG Procedure |
Ryan Brady |
source |
8 |
| PharmaSUG |
2013 |
Doctoring Your Clinical Trial with Adaptive Randomization: SAS Macros to Perform Adaptive Randomization |
Jenna Colavincenzo |
source |
9 |
| PharmaSUG |
2013 |
SAS Programmer to Clinical SAS Programmer |
Gayatri Karkera,
Nehan Mohan |
source |
7 |
| SGF |
2013 |
%MIXED_FIT: A SAS Macro to Assess Model Fit and Adequacy for Two-Level Linear Models |
Bethany A. Bell,
Mihaela Ene,
Whitney Smiley |
source
pdf |
8 |
| SGF |
2013 |
Calculating Subset-Weighted Analysis in PROC SURVEYFREQ and PROC GENMOD |
David M. Thompson,
Jessica Hale,
Paul Darden |
source
pdf |
7 |
| SGF |
2013 |
Checking Out Your Dates with SAS |
Christopher J. Bost |
source |
5 |
| SGF |
2013 |
Commuting Time and Accessibility in a Joint Residential Location, Workplace, and Job Type Choice Model |
Ignacio A. Inoa,
Nathalie Picard,
André de Palma |
source |
13 |
| 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 |
Doctoring Your Clinical Trial with Adaptive Randomization: SAS Macros to Perform Adaptive Randomization |
Jenna Colavincenzo |
source |
9 |
| SGF |
2013 |
Line-Sampling Macro for Multistage Sampling |
Charley Jiang,
James Lepkowski,
James Wagner,
Richard Valliant |
source |
10 |
| SGF |
2013 |
Variance Heterogeneity and Non-Normality: How the SAS TTEST Procedure Can Keep Us Honest |
Aarti P. Bellara,
Anh P. Kellermann,
Diep T. Nguyen,
Eun Sook Kim,
Jeffrey D. Kromrey,
Patricia Rodríguez de Gil,
Yi-Hsin Chen |
source
pdf |
10 |
| NESUG |
2012 |
Checking Out Your Dates with SAS |
Christopher J. Bost |
|
6 |
| PHUSE EU |
2012 |
East6: Software for Designing, Simulating and Monitoring Group Sequential Trials |
Hrishikesh Kulkarni,
Sheetal Solanki |
source
presentation source |
12 |
| PHUSE EU |
2012 |
Programming Challenges of Sampling Controls to Cases from the Dynamic Risk Sets in Nested Case Control Studies |
Victor Kiri |
source
presentation source |
8 |
| PHUSE EU |
2012 |
Validation in Epidemiological Studies [presentation] |
Raimund Storb |
source |
24 |
| SESUG |
2012 |
%MIXED_FIT: A SAS Macro to Assess Model Fit and Adequacy for Two-Level Linear Models |
Mihaela Ene |
source |
8 |
| 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 |
Difference Estimation versus Mean per Unit Methods for Skewed Populations: A Simulation Study |
John Chantis |
source |
9 |
| SESUG |
2012 |
How to Perform and Interpret Chi-Square and T-Tests |
Jennifer L. Waller |
source |
14 |
| SESUG |
2012 |
PROC TTEST (Old Friend), What Are You Trying to Tell Us? |
Diep T. Nguyen |
source |
12 |
| SESUG |
2012 |
Random Effects Simulation for Sample Size Calculations Using SAS |
Random Effects Simulation |
source |
11 |
| SESUG |
2012 |
Sample Size Determination for a Nonparametric Upper Tolerance Limit for any Order Statistic |
Dennis J. Beal |
source |
8 |
| MWSUG |
2012 |
Collapsing Levels of Predictor Variables for Logistic Regression and Weight of Evidence Coding |
Bruce S. Lund,
Steven Raimi |
|
13 |
| MWSUG |
2012 |
Direct Marketing Profit Model |
Bruce S. Lund |
|
8 |
| MWSUG |
2012 |
Model Selection Using Recursive Macro - Enhancements to R2 Selection in PROC REG |
Anca M Tilea,
Philip L Francis III,
Brenda W Gillespie,
Rajiv Saran |
|
10 |
| MWSUG |
2012 |
Modeling Complex Survey Data |
Taylor Lewis |
|
16 |
| MWSUG |
2012 |
Using SAS to Determine the Sample Size on the Cohen's Positive Kappa Coefficient Problem |
Yubo Gao |
|
4 |
| 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 |
PROC FREQ Is More Than Just Simply Generating a 2-by-2 Table |
Wuchen Zhao |
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 |
| WUSS |
2012 |
Up To Speed With Categorical Data Analysis |
Maura E. Stokes |
source |
25 |
| PharmaSUG |
2012 |
Application of Meta-Analysis in Clinical Trials |
Marina Komaroff |
source |
7 |
| PharmaSUG |
2012 |
Estimating Risk in the Presence of Unreported Zeros in the Data |
Brandon Fleming |
source |
7 |
| SGF |
2012 |
A Generalized Approach to Estimating Sample Sizes |
Wuchen Zhao,
Arthur X. Li |
source |
7 |
| SGF |
2012 |
A SAS Macro for Computing Point Estimates and Confidence Intervals of Effect Sizes Associated with Mediation Analysis |
Merlande Petit-Bois,
Thanh V. Pham,
Eun Kyeng Baek,
Jeffrey D. Kromrey |
source |
12 |
| SGF |
2012 |
A Simple Way to Program Power Calculations |
Robert Lew,
Hongsheng Wu |
source |
16 |
| 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 |
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 |
MV_META: A SAS Macro for Multivariate Meta-Analysis |
Julie A. Gloudemans,
Corina M. Owens,
Jeffrey D. Kromrey |
source |
15 |
| SGF |
2012 |
SAS Tools for Cost-Effective and High-Quality Clinical Trial Reporting |
Paul J. Novotny,
Angelina Tan,
Nathan R. Foster,
Jeff A. Sloan |
source |
10 |
| SGF |
2012 |
Selecting Unrestricted and Simple Random With Replacement Samples Using Base SAS and PROC SURVEYSELECT |
David D. Chapman |
source |
14 |
| SGF |
2012 |
Standardized Difference: An Index to Measure the Effect Size between Two Groups |
Dongsheng Yang,
Jarrod E. Dalton |
source |
6 |
| SGF |
2012 |
The Steps to Follow in a Multiple Regression Analysis |
Theresa H. Ngo |
source |
12 |
| SGF |
2012 |
Using SAS to Extend Logistic Regression |
Dachao Liu |
source |
8 |
| SCSUG |
2011 |
"Let's Get SAS To Do It!" |
Anna Vincent |
source |
22 |
| SCSUG |
2011 |
A SAS Macro Tool for Selecting Differentially Expressed Genes in Microarray Data |
Huanying Qin |
source |
7 |
| SCSUG |
2011 |
A Simulation Study for Power Analysis in a Longitudinal Study Using SAS |
Ravi Lingineni |
source |
4 |
| SCSUG |
2011 |
At Random - Sampling with PROC SURVEYSELECT |
Patricia Hettinger |
source |
15 |
| SCSUG |
2011 |
PROC SURVEYFREQ: Why Do a Three Way Table in SAS When We Want Two Way Table Information? |
Hemalkumar Mehta |
source |
14 |
| SESUG |
2011 |
Analysis of a Binary Outcome Variable Using the FREQ and LOGISTIC Procedures |
Arthur X. Li |
source |
18 |
| SESUG |
2011 |
CI_MEDIATE: A SAS Macro for Computing Point and Interval Estimates of Effect Sizes Associated with Mediation Analysis |
Thanh V. Pham,
Eun Kyeng Baek,
Merlande Petit-Bois,
Jeffrey D. Kromrey |
source |
10 |
| SESUG |
2011 |
Linear Logistic Test Model: Using SAS to Simulate the Decomposition of Item Difficulty by Algorithm, Sample Size, Cognitive Component and Time to Convergence |
George MacDonald,
Jeffrey D. Kromrey |
source |
11 |
| SESUG |
2011 |
Macros for Two-Sample Hypothesis Tests |
Jinson J. Erinjeri,
D.K. Shifflet |
source |
7 |
| 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 |
| SESUG |
2011 |
Smoothing Scaled Score Distributions from a Standardized Test using PROC GENMOD |
Jonathan Steinberg,
Tim Moses |
source |
7 |
| 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 |
Consistency of Treatment Effect cross Regions |
Yunfeng Li |
source |
6 |
| 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 |
Up To Speed With Categorical Data Analysis |
Maura E. Stokes |
source |
25 |
| PHUSE EU |
2011 |
Architect - A Platform for Design and Analysis Software for Clinical Trials |
Shashank Maratkar |
source |
12 |
| MWSUG |
2011 |
A Macro to Estimate Sample-size Using the Non-Centrality Parameter of a Non-Central F-Distribution |
Matthew C. Fenchel,
Raouf S. Amin,
Rhonda D. VanDyke |
|
20 |
| MWSUG |
2011 |
Application of SAS to monitoring loan defaults in consumer credit portfolios |
Yevhen Yankovskyy |
|
9 |
| MWSUG |
2011 |
Before Logistic Modeling - A Toolkit for Identifying and Transforming Relevant Predictors |
Steven Raimi,
Bruce S. Lund |
|
18 |
| MWSUG |
2011 |
Bootstrap power analysis using SAS |
Douglas Thompson,
Nort Holschuh,
Bruce Barton,
Ann Albertson |
|
8 |
| 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 |
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 |
| NESUG |
2011 |
Combining the Results from Multiple SAS PROCs into a Publication Quality Table |
Robert Kabacoff |
|
20 |
| NESUG |
2011 |
Confirmatory Factor Analysis and Structural Ehuation Modeling of Non-cognitive Assessments Using PROC CALIS |
Steven L. Holtzman,
Sailesh Vezzu |
|
9 |
| PharmaSUG |
2011 |
A SAS Macro Tool for Selecting Differentially Expressed Genes from Microarray Data |
Huanying Qin,
Laia Alsina,
Hui Xu,
Elisa L. Priest |
source |
7 |
| PharmaSUG |
2011 |
Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterprise Miner |
Patricia B. Cerrito |
source |
15 |
| PharmaSUG |
2011 |
Cost-Effectiveness Of Primary PCI At Hospitals Without Onsite CaABG |
Pedro Ramos |
source |
21 |
| PharmaSUG |
2011 |
Estimating Sample Size through Simulations |
Wuchen Zhao,
Arthur X. Li |
source |
6 |
| PharmaSUG |
2011 |
Statistical Analysis of Adverse Events in Randomized Clinical Trials Using SAS |
Dongsun Cao,
Xiaomin He |
source |
12 |
| 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 |
Living with Generalized Linear Mixed Models |
Walter W. Stroup |
source |
18 |
| SGF |
2011 |
MCPOWER: a Flexible Macro Suite for Generating Monte Carlo Power Estimates for Linear, Logistic, and Poisson Regression Models |
Ken Kleinman |
source |
5 |
| SGF |
2011 |
PATH and LISMOD Languages in SAS PROC TCALIS for Multigroup Comparisons |
Fei Gu,
Wei Wu |
source |
10 |
| SGF |
2011 |
Up To Speed With Categorical Data Analysis |
Gary G. Koch,
Maura E. Stokes |
source |
25 |
| SGF |
2011 |
Using SAS PROC TCALIS for Multigroup Structural Equation Modeling with Mean Structures |
Fei Gu,
Wei Wu |
source |
16 |
| SGF |
2011 |
Using SAS Procedures FREQ, GENMOD, LOGISTIC, and PHREG to Estimate Adjusted Relative Risks: A Case Study |
Jiming Fang |
source |
11 |
| NESUG |
2010 |
Exploring the Dimensionality of Large-Scale Standardized Educational Assessments Using PROC FACTOR |
Jonathan Steinberg |
|
8 |
| SCSUG |
2010 |
Impact of model mis-specification on conditional power in interim survival analysis |
Chao L. Chen |
source |
9 |
| WUSS |
2010 |
Blocked Randomization with Randomly Selected Block Sizes: A Flexible SAS Macro |
Jimmy Thomas Efird |
source |
3 |
| WUSS |
2010 |
PROC MEANS versus PROC SQL for Descriptive Statistics Generation of Weighted Data |
Keiko I. Powers |
source |
9 |
| WUSS |
2010 |
Statistical Analysis - The First Steps |
Jennifer L. Waller |
source |
20 |
| MWSUG |
2010 |
JMP Simulation-Based Empirical Determination of Robust Scale Estimator and Comparison of Outlier Discrimination Performance |
Gennadiy Gorelik,
Tarun Chandra |
|
8 |
| MWSUG |
2010 |
Power to Detect Therapist Effects in Randomized, Controlled Trials of Interventions in Clinical Psychology |
Douglas Thompson,
Fary Cachelin,
Ruth Striegel-Moore,
Terry Wilson |
|
16 |
| MWSUG |
2010 |
Using the JMP 9 R Interfaces to Perform Bayesian Analyses: Why, How, and What |
Dave LeBlond |
|
18 |
| 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 |
Sample Size Calculation to Evaluate Mediation Analysis |
Rajendra Kadel |
source |
12 |
| SESUG |
2010 |
Statistical Analysis - The First Steps |
Jennifer L. Waller |
source |
20 |
| SESUG |
2010 |
Using DICTIONARY Views to Eliminate Tedious Visual Review |
Christine Davies |
source |
7 |
| PharmaSUG |
2010 |
Assessing superiority/futility in a clinical trial: from multiplicity to simplicity with SAS |
Philip J. d'Almada,
Laura Aberle |
|
9 |
| PharmaSUG |
2010 |
Using PROC SURVEYMEANS to determine the dispensing time of prescriptions in pharmacies in South Africa: A user's perspective |
Martie Lubbe,
Faans Steyn |
|
12 |
| PharmaSUG |
2010 |
Using SAS Proc Power to Perform Model-based Power Analysis for Clinical Pharmacology Studies |
Peng Sun |
|
11 |
| SGF |
2010 |
A Grad Student 'How-To' Paper on Grant Preparation: Preliminary Data, Power Analysis, and Presentation |
Elisa L. Priest,
Derek Blankenship |
source |
14 |
| SGF |
2010 |
Clinical Trials Simulation: A Publicly Available, Grid-Enabled, GUI-Driven SAS System |
Peter H. Westfall,
Alex Dmitrienko,
Cynthia DeSouza,
Alin Tomoiaga |
source |
13 |
| 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 |
Data and Text Mining in SAS Warranty Analysis 4.2 |
Ned Maran,
Wei Huang |
source |
13 |
| SGF |
2010 |
Efficient Statistical Programming? Reducing SAS Run Time with WHERE Setup |
Keiko I. Powers |
source |
4 |
| SGF |
2010 |
Let SAS Do the Work: Correlation Crossroads |
Theresa Gilligan,
Cheryl Coon,
Lauren Nelson,
Lori D. McLeod,
Yung-Jui Yang |
source |
18 |
| SGF |
2010 |
Principles of Proper Inferences from Complex Survey Data |
Taylor Lewis |
source |
9 |
| SGF |
2010 |
Select Matched-Pair Control Sampling Using PROC SURVEYSELECT |
Yu Feng |
source |
4 |
| SGF |
2010 |
Using New JMP Interactive Modules to Teach Concepts in Introductory Statistics |
Amy G. Froelich,
William M. Duckworth |
source |
9 |
| SESUG |
2009 |
A New Effect Modification P Value Test Demonstrated |
Manojkumar B Agravat |
source |
14 |
| SESUG |
2009 |
Are Differences in Marital Status an Important Factor for KAP Related to HIV/AIDS in Saoner Rural Area? |
Amit Kamdi,
Vikram Shad,
Jitesh K Kar,
Kishorbhai J Gangani,
Arun Humne |
source |
1 |
| SESUG |
2009 |
The Effect of Missing Data on Repeated Measures Models |
Maribeth H. Johnson |
source |
10 |
| 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 |
Improving Biometrics Processes with Six-Sigma |
Andrew York |
source |
6 |
| PHUSE EU |
2009 |
The role of the statistician in data monitoring committees |
Fritz Schindel |
source |
28 |
| MWSUG |
2009 |
Group Sequential Analysis Using the New SEQDESIGN and SEQTEST Procedures |
Yang Yuan |
|
20 |
| MWSUG |
2009 |
Mixed Model Selection |
George C. J. Fernandez |
|
19 |
| WUSS |
2009 |
Custom Outcomes Benchmarking Reports Using Dynamic Data Exchange (DDE), the Only Way to Go |
Joyce C. Niland,
Rebecca Ottesen,
Julie A. Kilburn,
Ann Vanderplas,
Anna ter Veer,
Rizvan Mamet |
source |
9 |
| WUSS |
2009 |
Efficient Statistical Programming? - These Small Steps Make the Difference |
Keiko I. Powers |
source |
16 |
| WUSS |
2009 |
Guidelines for Reliability, Confirmatory and Exploratory Factor Analysis |
Diana D. Suhr,
Mary Shay |
source |
15 |
| WUSS |
2009 |
Selecting a Stratified Sample with PROC SURVEYSELECT |
Diana D. Suhr |
source |
6 |
| WUSS |
2009 |
Using PROC LOGISTIC to Estimate Willingness to Pay for Fresh Produce |
Mikael Peterson |
source |
4 |
| PharmaSUG |
2009 |
Adhoc Analysis of Site By Treatment Interaction |
Alan Davis |
|
9 |
| PharmaSUG |
2009 |
Detection of Multiple Outliers in UNIVARIATE Data Sets |
Marek K. Solak |
|
7 |
| 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 |
Parsimony vs. Complexity: A Monte Carlo Investigation of Hierarchical and Cross-Classified Modeling Using SAS PROC MIXED |
Bethany A. Bell,
Corina M. Owens,
Jeffrey D. Kromrey,
John M. Ferron |
source |
12 |
| SGF |
2009 |
SAS and JMP Integration for Implementing a Clustering Algorithm for High Dimension Low Sample Size Data |
George von Borries |
source |
11 |
| SGF |
2009 |
Selecting a Stratified Sample with PROC SURVEYSELECT |
Diana D. Suhr |
source |
6 |
| 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 |
| WUSS |
2008 |
Computing power and sample size using the using the SAS System |
Jimmy Thomas Efird |
source |
5 |
| WUSS |
2008 |
Efficient Statistical Programming? - Let's Work on Those Data Steps First |
Keiko I. Powers |
source |
4 |
| WUSS |
2008 |
Step your way through Path Analysis |
Diana D. Suhr |
source |
10 |
| WUSS |
2008 |
Testing Performance of Various Confidence Interval Methods for Non-Normal Means |
Keiko I. Powers |
source |
8 |
| WUSS |
2008 |
User-friendly SAS Macro Application for performing all possible mixed model selection - An update |
George C. J. Fernandez |
source |
19 |
| SESUG |
2008 |
ATTENUATE: A SAS Macro for Computing Confidence Intervals for Disattenuated Correlation Coefficients |
Jeffrey D. Kromrey,
Robert H. Fay,
Aarti P. Bellara |
source |
13 |
| SESUG |
2008 |
Complex Survey Data Analysis in SAS and the Link between PROC SURVEYFREQ and SURVEYMEANS |
Taylor Lewis |
source |
5 |
| PHUSE EU |
2008 |
Evaluation of Diagnostic Agents: a SAS Macro for Sample Size Estimation Using Exact Methods |
Stefano Vezzoli |
source |
8 |
| PHUSE EU |
2008 |
Statistics for Non-Statisticians |
Shambhavi Nayak |
source |
10 |
| MWSUG |
2008 |
Confidence Interval Calculation for Binomial Proportions |
Keith Dunnigan |
|
12 |
| MWSUG |
2008 |
P Charts for Improved Analysis |
Vin Kane |
|
16 |
| MWSUG |
2008 |
The Over-Reliance on the Central Limit Theorem |
Patricia B. Cerrito |
|
6 |
| NESUG |
2008 |
Breakthrough Improvements through Reliable Modern Testing using SAS and JMP |
Sunil Kumar Gupta |
|
14 |
| NESUG |
2008 |
Early Detection of Epidemic Outbreaks and Financial Bubbles Using Autoregressive Models with Structural Changes |
Ernest S. Shtatland,
Timur Shtatland |
|
15 |
| NESUG |
2008 |
SAS Macro for Calculating Sample Size and Power on GLM Models with Correlated Binary Outcomes |
Qianyu Dang,
Patricia R. Houck,
Sati Mazumdar |
|
5 |
| 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 |
| NESUG |
2008 |
Try, Try Again: Replication-Based Variance Estimation Methods for Survey Data Analysis in SAS 9.2 |
Pushpal K. Mukhopadhyay |
|
16 |
| PharmaSUG |
2008 |
%YAMGAST: Yet Another Macro to Generate a Summary Table |
Zang Xiong,
St. Jude Children's |
|
10 |
| PharmaSUG |
2008 |
Annotate facilitates data-driven graphs |
Meera G. Kumar,
Jeffrey Cortez |
|
5 |
| PharmaSUG |
2008 |
Approximate Simultaneous Nonparametric Confidence Intervals for All Pair-Wise Comparisons and Comparisons with a Designated (Control) Group in a One-Way Layout Using the SAS System |
Paul Juneau,
Aditya Sikka,
Jiawei Qiao,
Michelle Gayari |
|
19 |
| PharmaSUG |
2008 |
Facilitate Statistical Analysis with Automatic Collapsing of Small Size Strata |
Sunil Kumar Gupta,
Linfeng Xu,
Thousand Oaks |
|
12 |
| PharmaSUG |
2008 |
Sample Size Estimation for (Bio)equivalence Testing Between Two Treatments |
Madan G. Kundu |
|
13 |
| PharmaSUG |
2008 |
Sample Size Estimation for Trials of Recurrent Events |
Kuolung Hu |
|
8 |
| PharmaSUG |
2008 |
Sample Size Estimation Through Simulation of a Random Coefficient Model by Using SAS |
Junliang Chen,
Shannon Stock,
Chunqin Deng |
|
8 |
| PharmaSUG |
2008 |
Statistical Approach to Establishing Bioequivalence |
William F. McCarthy,
Nan Guo |
|
12 |
| SGF |
2008 |
A Macro for Getting More out of Your ROC Curve |
Jennifer Lambert,
Ilya Lipkovich |
source |
11 |
| SGF |
2008 |
ALPHA_CI: A SAS Macro for Computing Confidence Intervals for Coefficient Alpha |
Jeffrey D. Kromrey,
Jeanine L. Romano,
Susan Hibbard |
source |
12 |
| SGF |
2008 |
Migrating Information in the Amisys Data-Warehouse: Current to Advanced |
Anthony E. DeGance |
source |
10 |
| 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 |
Updates to SAS Power and Sample Size Software in SAS 9.2 |
Wayne E. Watson |
source |
10 |
| NESUG |
2007 |
An Algorithm to Compute Exact Power of an Unordered RxC Contingency Table |
Vivek Pradhan,
Stian Lydersen |
|
8 |
| NESUG |
2007 |
Creating Multiple Cohorts Using the SAS Data Step |
Jonathan Steinberg |
|
9 |
| 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 |
Resampling Census Data for Survey Data Analysis |
Adeline J. Wilcox |
|
10 |
| SESUG |
2007 |
Application of an Exact Covariate Matching Macro in Outcome Analysis |
Guiping Yang |
source |
19 |
| SESUG |
2007 |
Cleaning Data the Chauvenet Way |
Lily Lin,
San Mateo |
source |
11 |
| SESUG |
2007 |
Information Criteria Methods in SAS for Multiple Linear Regression Models |
Dennis J. Beal |
source |
10 |
| SESUG |
2007 |
ROBUST_ES: A SAS Macro for Computing Robust Estimates of Effect Size |
Jeffrey D. Kromrey,
Kevin B. Coughlin |
source |
16 |
| MWSUG |
2007 |
Identifying and Overcoming Common Data Mining Mistakes |
Doug Wielenga |
|
20 |
| WUSS |
2007 |
A SAS Algorithm for Block Randomization |
Jimmy Thomas Efird,
Miki Hong,
Pollie Bith-Melander,
Chieko Kimata,
Caroline Jiang,
Kathleen Baker |
source |
4 |
| WUSS |
2007 |
A Scattered Approach to Quality Control |
Christina Schmunk,
Komal Sunak |
source |
10 |
| WUSS |
2007 |
Cleaning Data the Chauvenet Way |
Lily Lin,
Paul D. Sherman |
source |
11 |
| WUSS |
2007 |
Statistical Inference Illustrated |
Richard R. Allen |
source |
19 |
| PHUSE EU |
2007 |
Bayesian Modelling with SPLUS and the S+flex Bayes library |
Andrew Jack,
Dawn Woodard |
source |
11 |
| PHUSE EU |
2007 |
Bootstrapping in a replicative bioequivalence study |
Feryal Tanriverdio,
Arne Ring |
source |
11 |
| SCSUG |
2007 |
A SAS Macro for Hosmer and Lemeshow's Purposeful Selection Model Building Algorithm: Description and Performance |
David Williams,
Zoran Bursac,
David K. Hosmer |
|
6 |
| PNWSUG |
2007 |
An Introduction to Statistical Power Calculations for Linear Models with SAS 9.1 |
Robin High |
|
17 |
| PNWSUG |
2007 |
Multiple comparisons on 2xc proportions |
John Horne |
|
12 |
| PharmaSUG |
2007 |
A Review of Propensity Score Application in Healthcare Outcome and Epidemiology |
Guiping Yang |
|
24 |
| PharmaSUG |
2007 |
A Unified SAS Macro for Generating Randomisation Schedule |
Madan G. Kundu,
Arjun Roy |
|
12 |
| PharmaSUG |
2007 |
Cochran-Armitage Trend Test Using SAS |
Hui Liu |
|
11 |
| PharmaSUG |
2007 |
Comparison of a Non-Parametric Rank-Sum Test Based on a SAS Calculation of the Exact Null Distribution to Dunn's and Miller's Procedures |
April Slee,
Alice Birnbaum,
Paul Stutzman |
|
12 |
| PharmaSUG |
2007 |
Effects of Multicollinearity in All Possible Mixed Model Selection |
George C. J. Fernandez |
|
18 |
| PharmaSUG |
2007 |
SAS Macros to Detect and Evaluate Statistical Outliers |
Marek K. Solak |
|
8 |
| PharmaSUG |
2007 |
The ROC Curve Method for the Assessment of Diagnostic Accuracy |
William F. McCarthy |
|
12 |
| 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 |
Attitudes toward Immigrants and Immigration in the United States: Toward a Structural Approach |
Michael J. Sobczak |
source |
12 |
| SGF |
2007 |
GLMM_SIM: A SAS Macro for Evaluating the Statistical Integrity of General Linear Mixed Models |
James T. Hess,
Melinda R. Hines,
Constance Kromrey,
Jeffrey D. Lee,
Reginald S. Luther,
Stephen L. Coraggio |
source |
10 |
| SGF |
2007 |
Identifying and Overcoming Common Data Mining Mistakes |
Doug Wielenga |
source |
20 |
| SGF |
2007 |
Learning What You Didn't Know about Your Data |
Larry W. Douglass |
source |
16 |
| SGF |
2007 |
Model Selection in PROC MIXED-A User-Friendly SAS Macro Application |
George C. J. Fernandez |
source |
20 |
| SGF |
2007 |
OLS Regression? Auto-Regression? Dynamic Regression? |
Rodger Zhang |
source |
12 |
| SGF |
2007 |
Using SAS to Determine Sample Sizes for Traditional Two-Stage and Adaptive Two-Stage Phase II Cancer Clinical Trial Designs |
St. Clare Groulx,
Adrienne Moon,
Kyung-hee Chung |
source |
9 |
| SGF |
2007 |
Visualizing Statistical Inference Using SAS |
Barbara G. Schneider,
Kristan A. Schneider |
source |
10 |
| MWSUG |
2006 |
All Possible Model Selection in Proc Mixed - A SAS macro application |
George C. J. Fernandez |
|
19 |
| MWSUG |
2006 |
Nonparametric Inference for Ordered Alternatives in a One-Way Layout Using |
Paul Juneau |
|
15 |
| PHUSE EU |
2006 |
(Sample) Size DOES Matter |
John Salter |
source |
10 |
| PHUSE EU |
2006 |
Analysis of incomplete two-period crossover trials with SAS PROC MIXED |
Jochen Müller-Cohrs |
source |
8 |
| PHUSE EU |
2006 |
Interfering with Data Management by the Statistician |
Jim Groeneveld |
source |
6 |
| SESUG |
2006 |
A Simulation Study of Sequential Testing Approaches in Genetics |
Andres Azuero,
David T. Redden |
source |
8 |
| SESUG |
2006 |
Gene Expression Profiling of DNA Microarray Data using Association rule and Structural Equation Modeling |
Mussie A. Tesfamicael |
source |
7 |
| SESUG |
2006 |
MLM_SIM: A SAS Macro for the Statistical Investigation of Mixed Models |
Jeffrey D. Kromrey |
source |
15 |
| 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 |
Getting Your Random Sample In PROC SQL |
Richard Severino |
source |
14 |
| WUSS |
2006 |
Model Selection Methods in PROC MIXED |
George C. J. Fernandez |
source |
19 |
| WUSS |
2006 |
Real-Time Sales Volumes Projection with SAS - A Challenge in Implementing a Data-Based Solution in the Automobile Industry |
Keiko I. Powers |
source |
8 |
| WUSS |
2006 |
The Basics of Structural Equation Modeling |
Diana D. Suhr |
source |
19 |
| NESUG |
2006 |
Custom Reports with Proc SQL: A Real-Life Example |
Electra Small |
|
11 |
| NESUG |
2006 |
Survey Logistic Regression: Some SAS-SUDAAN Comparisons |
Xiuhua Chen |
|
7 |
| NESUG |
2006 |
Using SAS to Analyze the Summary Data |
Zhenyi Xue |
|
6 |
| PharmaSUG |
2006 |
Randomization in Clinical Trial Studies |
David Shen,
Zaizai Lu |
|
8 |
| PharmaSUG |
2006 |
Sample Size Calculation and Timeline Estimate for Progression-Free Survival |
Chung-Kuei Chang |
|
10 |
| 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 |
%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 |
An Evaluation of Splines in Linear Regression |
Deborah M. Hurley,
James Hussey,
Robert McKeown,
Cheryl L. Addy |
source |
11 |
| SUGI |
2006 |
Application of Experimental Design in Consumer Direct-Mail Solicitations |
Jonas V. Bilenas |
source |
9 |
| SUGI |
2006 |
Computation of Correlation Coefficient and Its Confidence Interval in SAS |
David Shen,
Zaizai Lu |
source |
6 |
| SUGI |
2006 |
Empirical Power Estimation for Phase I Dose-Proportionality Studies Based on Power-Law Model Using Confidence Interval Criteria |
Jihao Zhou,
Jane Li,
Bruce Coate,
Melissa Chen |
source |
11 |
| SUGI |
2006 |
Exploratory or Confirmatory Factor Analysis? |
Diana D. Suhr |
source |
17 |
| SUGI |
2006 |
Getting Your Random Sample In PROC SQL |
Richard Severino |
source |
14 |
| SUGI |
2006 |
Implementing a Multiple Comparison Test for Proportions in a 2xc Crosstabulation in SAS |
Alan C. Elliott,
Joan S. Reisch |
source |
6 |
| 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 |
Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad |
Arthur L. Carpenter |
source |
9 |
| 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 |
The Estimation of Sensitivity and Specificity of Clustered Binary Data |
William F. McCarthy,
Nan Guo |
source |
10 |
| SESUG |
2005 |
_05 Robustness in Meta-analysis: A Macro for Computing Point Estimates and Confidence Intervals for |
Standardized Mean Differences,
Cliff's Delta,
Kristine Y. Hogarty,
Jeffrey D. Kromrey,
John M. Ferron |
source |
10 |
| SESUG |
2005 |
Clustering Analysis of Micro Array Data |
John Schwarz |
source |
12 |
| SESUG |
2005 |
The Missing Link: Data Analysis with Missing Information |
Venita DePuy |
source |
9 |
| SESUG |
2005 |
Using PROC GENMOD for Loglinear Smoothing |
Tim Moses,
Alina A. von Davier |
source |
21 |
| PHUSE EU |
2005 |
A Practical Introduction to the Bootstrap Using the SAS System |
Nancy Barker |
source |
17 |
| PHUSE EU |
2005 |
Power calculation of non-inferiority trials assuming poisson distributions |
Corinna Miede,
Jochen Müller-Cohrs |
source |
11 |
| 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 |
Producing Multipurpose Metadata for Data Quality and a Data Dictionary |
John E. Bentley |
source |
19 |
| 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 |
Introduction to Experimental Design using SAS |
Jonas V. Bilenas |
|
13 |
| NESUG |
2005 |
PROC SURVEYSELECT: A Simply Serpentine Solution for Complex Sample Designs |
Louise S. Hadden |
|
8 |
| NESUG |
2005 |
The Survey Data Book an Easy Read via Proc Tabulate and the ODS RTF Destination |
Electra Small |
|
11 |
| PharmaSUG |
2005 |
A Dynamic SAS/IntrNet Example with Help of ASP and JavaScript: Online Clinical Trial Randomization List Generator |
Sijian Zhang,
Mark Carpenter,
Michael Windle |
|
6 |
| PharmaSUG |
2005 |
An Approach Finding the Right Tolerance Level for Clinical Data Acceptance |
Karen Walker |
|
6 |
| PharmaSUG |
2005 |
Calculating Posterior Probability of the Maximum Contrast Using PROC IML |
Akira Wakana,
Isao Yoshimura,
Chikuma Hamada |
|
6 |
| PharmaSUG |
2005 |
Power Analysis and Sample Size Estimation using Bootstrap |
Xiaomei Peng,
Guangbin Peng,
Celedon Gonzales |
|
7 |
| PharmaSUG |
2005 |
Prepare Data Listings with SAS Software for Database Audit |
Jay Zhou,
Larry Shen |
|
8 |
| PharmaSUG |
2005 |
Want to Do a Better Job? - Want to Do a Better Job? - Select Appropriate Statistical Analysis in Healthcare Research |
Liping Huang |
|
7 |
| 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 SAS Macro to Generate Enhanced Kaplan-Meier Plots |
Heidi Christ-Schmidt,
Matthew T. Downs |
source |
12 |
| SUGI |
2005 |
Estimation of Type III Error and Power for Directional Two-Tailed Tests Using PROC POWER |
Cam-Loi Huynh |
source |
10 |
| SUGI |
2005 |
Make the Invisible Visible: A Case Study of Using ODS Inline Formatting Style |
Zizhong (James) Fan |
source |
7 |
| SUGI |
2005 |
Maximum Likelihood Parameter Estimation with Incomplete Data |
Catherine Truxillo |
source |
19 |
| SUGI |
2005 |
On GSForward-The Experimental Variable Selection Node in SAS Enterprise Miner 5.1 |
Leonardo Auslender |
source |
6 |
| SUGI |
2005 |
Power Simulation for Categorical Data Using the RANTBL Function |
Joel A. Dubin,
Theodore R. Holford,
Peter H. Van Ness |
source |
12 |
| SUGI |
2005 |
Producing Multipurpose Metadata for Data Quality and a Data Dictionary |
John E. Bentley |
source |
19 |
| SUGI |
2005 |
Statistical Methods in Diagnostic Medicine Using SAS Software |
Jayawant N. Mandrekar,
Sumithra J. Mandrekar |
source |
8 |
| NESUG |
2004 |
A Regression Primer with a Touch of SAS |
Vincent Maffei |
|
14 |
| NESUG |
2004 |
A SAS Macro to Generate Enhanced Kaplan-Meier Plots |
Heidi Christ-Schmidt,
Matthew T. Downs |
|
13 |
| NESUG |
2004 |
Building Logistic Regression Models to Analyze Survey Data with Complex Sampling Design |
Zhenyi Xue,
Euni Lee,
Monika Datary,
Anthony Wutoh |
|
4 |
| NESUG |
2004 |
Perusing, Choosing, and Not Mis-using: Non-parametric vs Parametric tests in SAS |
Venita DePuy,
Paul Pappas |
|
5 |
| NESUG |
2004 |
Using PROC GENMOD for Loglinear Smoothing |
Tim Moses,
Alina A. von Davier |
|
17 |
| SCSUG |
2004 |
Using PROC SURVEYMEANS to Analyze A Creel Survey |
Rebecca G. Frederick,
E. Barry Moser,
George Melancon |
|
10 |
| SESUG |
2004 |
An Overview of Non-parametric Tests in SAS: When, Why, and How |
Paul A. Pappas,
Venita DePuy |
source |
5 |
| SESUG |
2004 |
Faster Flat File Testing |
John E. Bentley |
source |
2 |
| SESUG |
2004 |
Spatial Statistics Using the SAS Bridge for ESRI |
Patricia B. Cerrito,
Carol Hanchette,
William Dakan,
George R. Barnes,
Robert Forbes |
source |
15 |
| SESUG |
2004 |
Statistical Analysis of Gene Expression Micro Arrays |
John Schwarz |
source |
8 |
| WUSS |
2004 |
Methods For Combining SAS Data Sets Of Varying Sizes: Which Method To Use When? |
Hugh Roghmann |
source |
7 |
| 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 |
| PNWSUG |
2004 |
Complex Sampling Meets the Blazing Turkey of Glory |
David L. Cassell |
|
8 |
| PharmaSUG |
2004 |
Incremental Methods of Imputation for Longitudinal Data with Informative Missingness |
Naum M. Khutoryansky |
|
4 |
| 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 |
| PharmaSUG |
2004 |
Statistical Simulations for Sample Size Calculation with PROC IML |
Izabella Peszek |
|
8 |
| PharmaSUG |
2004 |
Testing Normality of Data using SAS |
Guangbin Peng |
|
6 |
| SUGI |
2004 |
A New Strategy of Model Building in SAS PROC LOGISTIC with Automatic Variable Selection, Validation, Shrinkage, and Model Averaging |
Ernest S. Shtatland,
Ken Kleinman,
Emily M. Cain |
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 |
PROC POWER in SAS 9.1 |
Deborah J. Bauer,
Russell M. Lavery |
source |
7 |
| SUGI |
2004 |
Sample-Size Analysis in Study Planning: Concepts and Issues, with Examples Using PROCs POWER and GLMPOWER |
Ralph G. O'Brien,
John M. Castelloe |
source |
12 |
| SUGI |
2004 |
Simplified Matched Case-control Sampling Using PROC SURVEYSELECT |
Robby A. Diseker |
source |
6 |
| 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 |
| WUSS |
2003 |
Logistic regression model-building strategies for predicting regular mammography screening adherence among uninsured immigrant women |
Jesse Albert Canchola,
Regina Otero-Sabogal,
Desiree Owens,
Farzaneh Tabnak |
source |
6 |
| WUSS |
2003 |
Selecting a Stratified Sample with PROC SURVEYSELECT |
Diana D. Suhr |
source |
4 |
| SCSUG |
2003 |
A Beginner's Guide to Simulation Studies |
Barbara Foster |
|
10 |
| SCSUG |
2003 |
Elementary Statistics Using Base SAS |
Deborah B. Buck |
|
9 |
| SESUG |
2003 |
A SAS Macro to Design Phase II Clinical Trials |
Alan B. Cantor,
Moffitt Cancer |
source |
2 |
| SESUG |
2003 |
EFFECT_CI: A SAS Macro for Constructing Confidence Intervals Around Standardized Mean Differences |
Around Standardized Mean Differences |
source |
6 |
| SESUG |
2003 |
METAPERM: A SAS Macro for Permutation Tests of Linear Models in Meta-analysis |
Jeffrey D. Kromrey,
Kristine Y. Hogarty |
source |
6 |
| SESUG |
2003 |
Using the SAS System to Construct n-Values Plots |
Peter S. Wludyka |
source |
9 |
| MWSUG |
2003 |
Using SAS as a Definitive Tool in Stock Market Analysis |
Mike D. Tangedal |
|
4 |
| NESUG |
2003 |
Drawing Multiple Random Samples with Replacement |
Charles A. DePascale |
|
2 |
| VIEWS |
2003 |
Box-and-Whisker Plots with The SAS System |
David Shannon |
presentation |
9 |
| PharmaSUG |
2003 |
Confidence Intervals in Analysis and Reporting of Clinical Trials |
Guangbin Peng |
|
8 |
| PharmaSUG |
2003 |
Developing "EXSAS" an integrated system for statistical analysis of non-clinical experimental data using animals |
Chikuma Hamada |
|
6 |
| PharmaSUG |
2003 |
Likelihood Approach in Estimation and Testing Problems Involving Grouped Data |
Daniel Bonzo,
InfoVision Consultants |
|
8 |
| PharmaSUG |
2003 |
Using SAS to Evaluate Integrals and Reverse Functions in Power and Sample Size Calculations |
Xingshu Zhu,
Shuping Zhang |
|
6 |
| SUGI |
2003 |
Beyond PROC LIFETEST: Alternative Linear Rank Tests for Comparing Survival Distribution |
Alan B. Cantor |
source |
4 |
| SUGI |
2003 |
Complex Sampling Designs Meet the Flaming Turkey of Glory |
David L. Cassell,
AnnMaria Rousey |
source |
8 |
| SUGI |
2003 |
Cutpoint Determination Methods in Survival Analysis Using SAS |
Jayawant N. Mandrekar,
Sumithra J. Mandrekar,
Stephen S. Cha |
source |
5 |
| 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 |
STEPWISE Methods in Using SAS PROC LOGISTIC and SAS Enterprise MinerTM for Prediction |
Ernest S. Shtatland,
Ken Kleinman,
Emily M. Cain |
source |
6 |
| MWSUG |
2002 |
Easy Interface for SAS --A SAS Applciation on the Windows Platform |
Zhuan (John) Xu |
|
9 |
| NESUG |
2002 |
Using the LOGISTIC Procedure to Model Responses to Financial Services Direct Marketing |
David Marsh |
|
6 |
| SESUG |
2002 |
A Sample Delivery System for A Multi-Site Study Using SAS On A UNIX Platform |
Gabriel Cano |
source |
7 |
| WUSS |
2002 |
A Macro to Perform a T-Test for Two Independent Samples Using Sufficient Statistics |
Lang-Feng Tsai |
source |
5 |
| WUSS |
2002 |
An Overview of Remedial Tools for the Violation of Parametric Test Assumptions in the SAS System |
Chong Ho Yu |
source |
6 |
| WUSS |
2002 |
Doing More with Proce FREQ Using Options and ODS |
Richard Severino |
source |
13 |
| WUSS |
2002 |
Optimum Sampling by Ratio Estimation |
Robert Plath |
source |
7 |
| 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 |
| PharmaSUG |
2002 |
Fast Two-Sample Permutation Tests, Even When One Sample is Large, that Efficiently Maximize Power Under Crude Monte Carlo Sampling |
John D. Opdyke |
|
10 |
| SUGI |
2002 |
Bulletproofing Your SAS Results |
Vanessa C. Hayden |
source |
6 |
| SUGI |
2002 |
Discriminant Analysis, A Powerful Classification Technique in Data Mining |
George C. J. Fernandez |
source |
9 |
| SUGI |
2002 |
Generating Randomization Schedules Using SAS Programming |
Chunqin Deng,
Julia C. Graz |
source |
6 |
| SUGI |
2002 |
Redesigning Experiments with Polychotomous Logistic Regression: A Power Computation Application |
Charles M. Vaughan,
Serge Guzy |
source |
6 |
| SUGI |
2002 |
SAS Tools for Meta-analysis |
Robert M. Hamer,
Pippa M. Simpson |
source |
6 |
| SUGI |
2002 |
Unit-of-Analysis Programming |
Vanessa C. Hayden |
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 |
| NESUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe |
|
13 |
| NESUG |
2001 |
Selecting Unrestricted and Simple Random With Replacement Samples Using Base SAS and PROC SURVEYSELECT |
David D. Chapman |
|
9 |
| NESUG |
2001 |
Using Surveys to Understand the Present and Predict the Future |
Aliza Heching,
Ying Tat Leung |
|
6 |
| VIEWS |
2001 |
The Version 8 Applied Statistician |
David Shannon |
|
15 |
| WUSS |
2001 |
Discriminant Analysis, A Powerful Classification Technique in Data Mining |
George C. J. Fernandez |
source |
9 |
| WUSS |
2001 |
Graphical Depiction of Bias when Using the Probability Plot Method for Cencored Data |
Randall Boan |
source |
4 |
| WUSS |
2001 |
Using SAS Functions for Power Analysis and Sample Size Estimation |
Mel Widawski |
source |
5 |
| SESUG |
2001 |
Conversion of SUDAAN Output into Publication-Quality Tables - A Simplified Approach |
Charlotte Cates Gard |
source |
6 |
| SESUG |
2001 |
P713 Using SAS To Control Multistream Binomial Processes |
Peter S. Wludyka,
Sheri Jacobs |
source |
8 |
| SESUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe |
source |
13 |
| SCSUG |
2001 |
Conversion of SUDANN Output into Publication-Quality Tables--A Simplified Approach |
Charlotte Cates Gard |
|
6 |
| SCSUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe,
Ralph G. O'Brien |
|
13 |
| SCSUG |
2001 |
Using SAS to Control MultiStream Binomial Processes |
Peter S. Wludyka,
Sheri Jacobs |
|
8 |
| 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 |
| SCSUG |
2001 |
Using the SAS System to Study the Gender and Level Measurement Equivalence of a Multi-rater Survey |
Jim Penny |
|
6 |
| SEUGI |
2001 |
Data Mining as Method to Streamline the Drug Discovery Process [presentation] |
Markus Duerring |
source |
20 |
| SEUGI |
2001 |
How to approach a segmentation project for ten million customers with SAS Enterprise Miner [presentation] |
Luis Miguel Muruzabal |
source |
26 |
| SEUGI |
2001 |
Testing for the geographic representativeness of data subsets - The Nugget Effect or Degress of Difficulty [presentation] |
Frederick D. Busche |
source |
21 |
| SEUGI |
2001 |
Web clickstream analysis to understand customer behaviour [presentation] |
Erika Blanc,
Paolo Giudici |
source |
21 |
| PharmaSUG |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe |
|
14 |
| PharmaSUG |
2001 |
Testing the Trend of a Response Curve to an Increasing Sequence of Doses: A SAS Macro to Automate the Analysis |
Donghui Zhang |
|
4 |
| PharmaSUG |
2001 |
Unit-of-Analysis Programming |
Vanessa C. Hayden,
Fidelity Investments |
|
6 |
| PharmaSUG |
2001 |
Using SAS Version 8.1 Output Delivery System to Automate Two Sample |
Test Selection |
|
4 |
| SUGI |
2001 |
Approximations to Distributions of Test Statistics in Complex Mixed Linear Models Using SAS PROC MIXED |
G. Bruce Schaalje |
source |
6 |
| SUGI |
2001 |
Power and Sample Size Determination for Linear Models |
John M. Castelloe,
Ralph G. O'Brien |
source |
13 |
| SUGI |
2001 |
Probabilistic Hindsight: A SAS Macro for Retrospective Statistical Power Analysis |
Kristine Y. Hogarty,
Jeffrey D. Kromrey |
source |
10 |
| SESUG |
2000 |
Computing the Approximate and Exact Leaving-One-Out Method in Multiple Group Logistic Discrimination with the SAS System |
Mohamed H. Hussein |
source |
6 |
| SESUG |
2000 |
Underlying Construct Analysis (UCA): Where Individual Systems End and Human Systems Begin |
Alvin L. Killough |
source |
8 |
| NESUG |
2000 |
A SAS Macro for Simple Random Sampling |
Chang Jiang |
|
3 |
| NESUG |
2000 |
Bulletproofing Your SAS Results |
Vanessa C. Hayden |
|
5 |
| NESUG |
2000 |
Generating Simple and Complex Random Samples Using the RANUNI Function |
Rebecca Goldblatt |
|
3 |
| NESUG |
2000 |
How to Be a Bayesian in SAS: Model Selection Uncertainty in PROC LOGISTIC and PROC GENMOD |
Ernest S. Shtatland |
|
9 |
| NESUG |
2000 |
Think Outside the Box: Analysis of Categorical Data |
Margaret Ann Goetz |
|
5 |
| WUSS |
2000 |
PROC CALIS Multi-Sample Analysis |
Diana D. Suhr |
source |
3 |
| WUSS |
2000 |
PROC FREQ: It's More Than Counts |
Richard Severino |
source |
10 |
| SEUGI |
2000 |
Using SAS System in the Media Research Projects [presentation] |
Elena Maslova,
S. Poppv,
T. Barsov |
source |
38 |
| PharmaSUG |
2000 |
A SAS Tool for the Presentation and Statistical Analysis of Data from Bioavailability and Bioequivalence Studies |
Melvin S. Munsaka,
Carl R. Haske |
|
8 |
| PharmaSUG |
2000 |
Random Simulation Methods for Computing Power and Sample Size for Tukey's Trend Test |
Benjamin Duncan |
|
6 |
| SUGI |
2000 |
PROC FREQ: It's More Than Counts |
Richard Severino |
source |
10 |
| SUGI |
2000 |
Sample Size Computations and Power Analysis with the SAS System |
John M. Castelloe |
source |
8 |
| SUGI |
2000 |
Using Propensity Scores to Adjust for Group Differences: Examples Comparing Alternative Surgical Methods |
David J. Pasta |
source |
7 |
| SESUG |
1999 |
A SAS Program to Calculate and Plot Widths of (1-α)100% Confidence Intervals for Binomial Proportions |
Maribeth H. Johnson,
Mark S. Litaker |
source |
2 |
| SESUG |
1999 |
Statistical Presentations Using the Power of PROC TABULATE |
C. Olivia Parr Rud |
source |
8 |
| SESUG |
1999 |
Using SAS to Perform the Analysis of Means for Variances Test |
Peter S. Wludyka |
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 |
Are Histograms Giving You Fits? New SAS Software for Analyzing Distributions |
Nathan A. Curtis |
source |
10 |
| WUSS |
1999 |
Site Specific Reports: Comparing each part to the whole using numbers and figures |
Jenny Yu |
source |
6 |
| NESUG |
1999 |
Exploratory Data Analysis: Getting to Know Your Data |
Michael A. Walega |
|
8 |
| NESUG |
1999 |
Modeling General Epidemics: SIR MODEL |
Robert J. Gallop |
|
5 |
| MWSUG |
1999 |
Enhancement in Easy Interface for SAS - A SAS Application on the Windows Platform |
John (Zhaun) Xu |
|
9 |
| MWSUG |
1999 |
Sample Size Determination From A Pilot Bioequivalence Study For A Future Pivotal Bioequivalence Study: A SAS Procedure |
Xiang Gao,
Henry Cheng |
|
7 |
| SEUGI |
1999 |
Quasi-Monte Carlo applications for financial risk management [presentation] |
Maurizio Mondello,
Maurizio Ferconi |
source |
28 |
| SUGI |
1999 |
A SAS Module/Macro Program for Computing Statistical Power Curves for Detecting Treatment Effect |
David Olaleye |
source |
6 |
| SUGI |
1999 |
Cross Crossover Studies Off Your List |
Pippa M. Simpson,
Robert M. Hamer,
Shelly Y. Lensing |
source |
7 |
| SUGI |
1999 |
Easy Interface for SAS - A SAS Application on the Windows Platform |
Zhuan (John) Xu |
source |
9 |
| SUGI |
1999 |
Statistical Presentations Using the Power of PROC TABULATE |
C. Olivia Parr Rud |
source |
7 |
| SUGI |
1999 |
Study Design with SAS: Estimating Power with Monte Carlo Methods |
Robert W. Graebner |
source |
3 |
| SUGI |
1999 |
The Effect of Missing Data on Repeated Measures Models |
Maribeth H. Johnson |
source |
6 |
| 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 |
Building a GUI to a Sample Size Program using FRAME |
Brian Mitchell |
|
3 |
| WUSS |
1998 |
Constants for Two-Sided Normal Tolerance Intervals |
William N. Anderson |
source |
6 |
| WUSS |
1998 |
Investigating the Performance of Model Selection Information Criteria Using SAS/IML and SAS/MACRO |
Long Ngo |
source |
6 |
| WUSS |
1998 |
New SAS Procedures for Analysis of Sample Survey Data |
Anthony B. An,
Donna L. Watts |
source |
11 |
| NESUG |
1998 |
A Simulation Study of Estimators In Stratified Proportional Hazard Models |
Hsi-Wen Liao |
|
8 |
| NESUG |
1998 |
Statistical Presentations Using the Power of PROC TABULATE |
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 |
Computing a Test Statistic for Scale Parameters Based on a Jackknife Procedure |
Jean G. Orelien |
|
6 |
| SESUG |
1998 |
Survey Research Using SAS: Tricks of the Trade |
Archer R. Gravely,
UNC Asheville |
|
10 |
| SESUG |
1998 |
The Effect of Missing Data on Repeated Measures Models |
Maribeth H. Johnson |
|
5 |
| SEUGI |
1998 |
Bioequivalence standardized |
Julian Singer |
source |
6 |
| PharmaSUG |
1998 |
A SAS/Frames Application to Estimate Sample Size and Power for Clinical Trials |
Brian Mitchell |
|
4 |
| PharmaSUG |
1998 |
Use of Pilot Trials as Screening Procedure in Generic Drug Product Development: Statistical Power and Influential Factors |
Yibin Wang |
|
5 |
| SUGI |
1998 |
A Data Access Challenge: Build a SAS Frame Application for Access to an Informix Data Warehouse |
John E. Bentley |
source |
7 |
| SUGI |
1998 |
A SAS Macro to Calculate Exact Confidence Intervals for the Difference of Two Proportions |
Paul R. Coe |
source |
6 |
| SUGI |
1998 |
A Tour of UnifyPow: A SAS Module/Macro for Sample-Size Analysis |
Ralph G. O'Brien |
source |
10 |
| SUGI |
1998 |
An Information-Gain Measure of Fit in PROC LOGISTIC |
Ernest S. Shtatland,
Mary B. Barton |
source |
6 |
| SUGI |
1998 |
Application of Maximum Contrast Method to Biomedical Data Using MU L TTEST |
Chikuma Hamada,
Junji Kishimoto |
source |
6 |
| SUGI |
1998 |
Bootstrapping the Standard Error of the Mediated Effect |
Chondra M. Lockwood,
David P. MacKinnon |
source |
6 |
| 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 |
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 |
Skaff and Jeff A. Sloan Design and Analysis of Equivalence Clinical T rials V ia the SAS System |
Pamela J. Atherton |
source |
7 |
| SUGI |
1998 |
Statistical Presentations Using the Power of PROC TABULATE |
C. Olivia Parr Rud |
source |
7 |
| SUGI |
1998 |
The Effect of Missing Data on Sample Sizes for Repeated Measures Models |
Maribeth H. Johnson,
Peter P. Davis |
source |
5 |
| SUGI |
1998 |
The Tabulate Procedure: One Step Beyond the Final Chapter |
Stephen M. Noga,
Jeffrey M. Abolafia |
source |
6 |
| SUGI |
1998 |
Using a SAS Macro to Create Unique Statistical Output |
Sean W. Mulvenon,
M. Austin |
source |
6 |
| WUSS |
1997 |
Testing Homogeneity of Variance |
Shuqiang Zhang |
source |
4 |
| SESUG |
1997 |
Modeling Higher Education Processes with Multiple Logistic Regression: SAS Examples |
Daniel Teodorescu |
|
5 |
| SESUG |
1997 |
PROC FACTOR: How to Interpret the Output of a Real-World Example |
Rachel J. Goldberg |
|
8 |
| SESUG |
1997 |
Statistical Presentations Using the Power of PROC TABULATE |
C. Olivia Parr Rud |
|
8 |
| SESUG |
1997 |
The Tabulate Procedure: One Step Beyond the Final Chapter |
Jeffrey M. Abolafia,
Stephen M. Noga |
|
8 |
| PharmaSUG |
1997 |
Controlling for Experimentwise Type II Error: Optimum Patient Allocation for a Three Armed, Parallel, Randomized, Controlled Clinical Trial with Binary Outcomes |
Benjamin Duncan |
|
13 |
| PharmaSUG |
1997 |
Obtaining Group Sequential Test Boundaries with SAS |
William J. Stager,
Hoechst Marion Roussel,
Jessie J. Yun,
Hoechst Marion Roussel |
|
4 |
| SUGI |
1997 |
A SAS Macro for Calculating Bootstrapped Confidence Intervals About a Kappa Coefficient |
Robert A. Vierkant |
source |
5 |
| SUGI |
1997 |
Interactive Sampling Using SAS/AF Frames |
Keith Cranford,
Don Boudreaux |
source |
5 |
| SUGI |
1997 |
Introduction to Building a Linear Regression Model |
Leslie A. Christensen |
source |
7 |
| SUGI |
1997 |
UnifyPow: A SAS Macro for Sample-Size Analysis |
Ralph G. O'Brien |
source |
6 |
| SUGI |
1997 |
Visual Hypothesis Testing with Confidence Intervals |
Robert W. Smith |
source |
|
| SCSUG |
1996 |
Fishing for Exactness |
Ted Pedersen |
|
13 |
| SCSUG |
1996 |
Sampling Techniques Using SAS Software |
Keith Cranford,
Don Boudreaux |
|
10 |
| SESUG |
1996 |
A SAS Program to Calculate and Plot Widths of (1-α)100% Confidence Intervals for Binomial Proportions |
Maribeth H. Johnson,
Mark S. Litaker |
|
2 |
| SESUG |
1996 |
Quasicomplete Separation in Logistic Regression: A Medical Example |
Madeline J. Boyle |
|
6 |
| SESUG |
1996 |
SAStistics 101 |
Robert E. Johnson |
|
8 |
| NESUG |
1996 |
Box and Whisker Plots: Definitions and Interpretations |
Adeline J. Wilcox |
|
9 |
| MWSUG |
1996 |
Understanding Control Charting: Techniques and Assumptions |
Charles Darby |
|
6 |
| SEUGI |
1996 |
A SAS-Macro for the Welch t-Test procedure in the many-to-one design |
Carina Ortseifen |
source |
5 |
| SEUGI |
1996 |
A SAS/AF software application for sample size and power determination |
Fiona Portwood |
source |
8 |
| SEUGI |
1996 |
Experimental analysis and SAS/EIS - reporting in semiconductor manufacturing |
Randall S. Collica |
source |
29 |
| SEUGI |
1996 |
Procedures for planning and analysing experiments and surveys |
Dieter Rasch |
source |
8 |
| SEUGI |
1996 |
Taming sample size calculation formulas with the SAS System (an application for trial sample size determination) |
Julian Singer |
source |
8 |
| SUGI |
1996 |
Beating Student's t and the Bootstrap - USing SAS Software to Generate Conditional Confidence Intervals for Means |
Thomas C. Chenier,
Paul Vos |
source |
6 |
| SUGI |
1996 |
Determining the Expected Mean Squares and Subsequent Power Calculations: An Application to Biostatistics |
Jon M. Lindenauer,
Eric C. Burdge,
John W. Philpot |
source |
5 |
| SUGI |
1996 |
Examining the File Contribution Server: Interesting Applications |
Richard D. Langston |
source |
4 |
| MWSUG |
1995 |
SAS Macros for Exact Confidence Limits |
Richard L. Berg |
|
6 |
| NESUG |
1995 |
Implementing a Modified Method of Weighted/Unweighted Means |
Robert H. Brown |
|
9 |
| NESUG |
1995 |
Power Analysis: Prospective Use of a SAS Macro |
John F. Walsh |
|
3 |
| NESUG |
1995 |
Using SAS To Compute Variances For Stratified Samples |
Lawrence Helbers |
|
5 |
| NESUG |
1995 |
When Chi-Square Does Not Hold: How to Analyze Tables With Low Cell Frequencies With SAS |
Lothar Tremmel |
|
9 |
| WUSS |
1995 |
Implementation of a Simple Method for the Analysis of Over-Dispersed Counts and Proportions |
Jennifer Lee,
Chul W. Ahn |
source |
3 |
| SESUG |
1995 |
Intraclass Correlation Reliability Estimation Using the GLM and MIXED Procedures |
Maribeth H. Johnson |
|
5 |
| SEUGI |
1995 |
A Simulation Study Using the SAS System - Stepwise Rejective Stopping Boundaries for Clinical Trials with Multiple Treatments |
Barbara G. Schneider |
source |
11 |
| SEUGI |
1995 |
DoPE: A Tool for D-Optimal Planning & Experimentation |
Christoph F. Berding |
source |
16 |
| SUGI |
1995 |
A Macro to Output the Statistics from the TTEST Procedure to a SAS Data Set |
Erik S. Larsen,
Daniel DiPrimeo |
source |
4 |
| SUGI |
1995 |
A SAS Macro for Estimating Power for ROC Curves: One-Sample and Two-Sample Cases |
Richard Zepp |
source |
3 |
| SUGI |
1995 |
Approaches to the Nonparametric Tests for Samples Location Comparison in SAS Software |
C. J. Tian,
S. Shiue |
source |
3 |
| SUGI |
1995 |
Bootstrap Cox Regression Using SAS Procedures |
Chikuma Hamada,
Junji Kishimoto |
source |
5 |
| SUGI |
1995 |
Using SAS Software to Design and Evaluate Lot Acceptance Sampling Plans |
Dennis W. King |
source |
4 |
| WUSS |
1994 |
Experimental Design and Survey Sampling Methods Using the SAS Macro Utility |
Paul W. Johnson |
source |
7 |
| NESUG |
1994 |
A SAS Macro for Exact Power of Chi-Square Tests of Equality of Two Proportions |
Carl E. Pierchala |
|
10 |
| MWSUG |
1994 |
Alternative Approaches to Mixed Linear Models |
George W. Pasdirtz |
|
6 |
| MWSUG |
1994 |
Using SAS Software to Design and Evaluate Military Standards Sampling Plans |
Dennis W. King |
|
7 |
| SESUG |
1994 |
POSTERS Vote-Counting Method to Obtain an Estimate and Confidence Interval for the Population Correlation Coefficient Using SAS/Ar . Frank C. Lieble ill, SAS Institute Inc., Orlando, Florida |
Morgan C. Wang |
|
6 |
| SESUG |
1994 |
SAS Macros for Sample Selection and Estimation |
N. I. Lyons,
K. Tam |
|
4 |
| SEUGI |
1994 |
Cross Validation of Nearest-neighbour Discriminant Analysis |
Allan White |
source |
15 |
| SUGI |
1994 |
An Application of SAS Procedure In Evaluation of Drug Effect Estimation of Mean Residual Lifetime |
Jianli Li |
source |
6 |
| SUGI |
1994 |
Application of Random-Effects Model for Categorical Data to Antiemetic Clinical Trials in Cancer Patients |
Regina Louie,
Alex Yaroshinsky |
source |
5 |
| SUGI |
1994 |
Colored Candies and Base SAS: A Sweet Way to Produce Chi-Square Control Charts Part 1: Tutorial |
Sherry Joyce King,
Melvin T. Alexander |
source |
6 |
| SUGI |
1994 |
Evaluating the Performance of the Wilcoxon Signed Rank Test in SAS Software |
C. J. Tian |
source |
2 |
| SUGI |
1994 |
Neural Networks and Statistical Models |
Warren S. Sarle |
source |
13 |
| 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 |
Vote-Counting Method to Obtain an Estimate and Confidence Interval for the Population Correlation Coefficient Using SAS/AF |
Frank C. Lieble,
Morgan C. Wang |
source |
6 |
| NESUG |
1993 |
Survial Data Analysis - Life Table Methods |
Wei Zhang |
|
10 |
| NESUG |
1993 |
Use of PROC IML to Calculate L-Moments for the Univariate Distributional Shape Parameters Skewness and Kurtosis |
Michael A. Walega |
|
8 |
| WUSS |
1993 |
A SAS Macro for Power and Sample Size Calculations for Historically-Controlled Studies with Dichotomous Endpoints |
Andrew Dagis,
Chul W. Ahn |
source |
6 |
| WUSS |
1993 |
A SAS Program for Sample Size Determination for Equivalence Trials |
Akiko Tomita,
Chul W. Ahn,
Joyce C. Niland |
source |
6 |
| WUSS |
1993 |
A SAS Software Program to Calculate Sample Sizes for Comparing Time-to-Failure Among More Than Two Groups |
Jennifer Lee,
Tamara Odom-Maryon |
source |
4 |
| WUSS |
1993 |
Improving Business Education with SAS: Business Students Perceptions |
Miro Costa |
source |
9 |
| SCSUG |
1993 |
A SAS/GRAPH Application in Support of Quality Improvement |
D. Mark Carpenter,
Cecil R. Hallum |
|
2 |
| MWSUG |
1993 |
Statistical Graphs in Environmental Regulatory Studies |
Larry R. Holden |
|
8 |
| SEUGI |
1993 |
A SAS Macro to Perform a Nonparametric Exact Test of Homogeneity for Correlated Categorical Data |
Comelia Baldauf |
source |
5 |
| SEUGI |
1993 |
Nonparametric Tests of Independence and Dispersion Extensions to a Collection of SAS Macros for Exact Nonparametrics |
Lars Pralle |
source |
9 |
| SEUGI |
1993 |
Support of Statistical Consulting Using SAS Software |
Hans-Peter Altenburg |
source |
11 |
| SEUGI |
1993 |
The Analysis of Repeated Measures Designs Using the SAS System |
Alun Bedding |
source |
9 |
| SEUGI |
1993 |
The Closed Test Procedure |
Hans Ulrich Burger |
source |
13 |
| SUGI |
1993 |
A Simulation-Based Project For Experimental Design Based on SAS Software |
Michael Friendly |
source |
8 |
| SUGI |
1993 |
An Application of SAS Software in Auditing and Finance: Monetary Unit Sampling |
Pankaj Patel,
Laura G. Bacon |
source |
6 |
| SUGI |
1993 |
An Interactive SAS/AF System for Sample Size Calculation |
Deborah J. Matos |
source |
6 |
| SUGI |
1993 |
Applications of the IML Procedure for Multiple Response Permutation Tests |
William D. Johnson,
Donald E. Mercante |
source |
5 |
| SUGI |
1993 |
Biometrics Software: What Tools Have Pharmaceutical Biometricians Got in Their Kits? |
David J. Shannon |
source |
6 |
| SUGI |
1993 |
Experiences with a General SAS Macro for the Construction of Classification and Regression Trees |
Roland Brandmaier,
H. Ansari,
D. Dickson |
source |
4 |
| SUGI |
1993 |
Generating Confidence in the SAS System: Confidence Intervals for Commonly Used Procedures |
Jose Maria J. Alvir |
source |
4 |
| SUGI |
1993 |
MONOSEL: A SAS Macro for Model Selection in Linear Regression Analysis |
Victor Kamensky,
Ilya Muchnik |
source |
6 |
| SUGI |
1993 |
Reliability of Biostatistical Data: A SAS Macro for the Calculation and Presentation of Some Commonly Employed Statistics |
Howard M. Proskin,
Albert Kingman,
William C. Murphy |
source |
10 |
| SUGI |
1993 |
Sample Size versus Detection Probabilities of Off-Aim Drifts in Support or Quality Improvement: A SAS/GRAPH Application |
D. Mark Carpenter,
Cecil R. Hallum |
source |
5 |
| SUGI |
1993 |
Statistical Graphics in Environmental Regulatory Studies |
Larry R. Holden |
source |
8 |
| SUGI |
1993 |
Statistical Procedures in Automated Cervical Cytology |
David L. Sherry |
source |
4 |
| SUGI |
1993 |
The MODECLUS Procedure: Nonparametric Significance Test, for Clusters |
Ann Kuo |
source |
6 |
| SESUG |
1993 |
Manipulating Large Highway and Crash Datasets |
Elizabeth G. Hamilton,
Carolyn D. Williams |
|
6 |
| SESUG |
1993 |
New SAS Modules for Practical Power Analysis |
Dan Bowling,
Ralph G. O'Brien |
|
9 |
| SCSUG |
1992 |
SAS/AF Application in Determining Sample Size |
Zhongmin Li |
|
7 |
| NESUG |
1992 |
A SAS Program for Determing Distribution-Free Confidence Intervals for Medians |
Willard Carl Losinger |
|
4 |
| NESUG |
1992 |
Manipulating Large Highway and Crash Datasets |
Elizabeth G. Hamilton,
Carolyn Williams |
|
6 |
| MWSUG |
1992 |
A Monte Carlo Evaluation of the Rank Transformation for Cross-Over Trials |
George W. Pasdirtz |
|
6 |
| MWSUG |
1992 |
Using Public-Use Microdata Samples With SAS |
Warren A. Brown,
Lisa King |
|
5 |
| SEUGI |
1992 |
An Application Using the SAS System to Perform Williams' Test in Toxicity Studies |
Paolo Fina |
source |
9 |
| SEUGI |
1992 |
Experiences from Using the SAS System in a Large Consumption Simulation Study |
Timo Alanko |
source |
11 |
| SEUGI |
1992 |
SAS Macros for Exact Methods in Nonparametrical Statistics |
Thomas Bregenzer |
source |
12 |
| SEUGI |
1992 |
Using SAS/IML for Advanced Statistical Needs, With an Example on Credit Scorecard Building |
Lynne Pritchard,
Paul Chik |
source |
10 |
| SUGI |
1992 |
A Simulation Study of Estimators for Rates of Changes in Longitudinal Studies with Attrition |
Fong Wang,
Mary Lange |
source |
6 |
| SUGI |
1992 |
An Interactive SAS/AF System for Assessing Bioequivalence |
Deborah Dukovic |
source |
6 |
| SUGI |
1992 |
Do We Always Need Clinical Stratification in Multicenter Clinical Trials? Results of a Simulation Study |
Roland Brandmaier,
U. Aydemir,
H. Ansari,
J. Hasford |
source |
6 |
| SUGI |
1992 |
Getting It and Keeping It with SAS Software-Advanced Strategies |
Sally M. Muller,
Kenneth A. Hardy,
Keith J. Brown |
source |
7 |
| SUGI |
1992 |
Interactive Data Analysis Strategies |
Alvin M. Best III |
source |
6 |
| SUGI |
1992 |
Pharmacokinetic Statistical Analysis System - A SAS/AF and SAS/FSP Application |
Sharon Passe,
Andrea L. Contino |
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 |
Statistical Simulations Using the CALIS Procedure |
David P. MacKinnon |
source |
5 |
| SUGI |
1992 |
Using SAS Software to Evaluate the Power of Alternative Data Analytic Methods for Repeated Measures Designs |
Thomas C. Chenier |
source |
6 |
| SCSUG |
1991 |
Calculating the Power Function of the Wilcoxon Rank Sum Test in 2xK Tables |
Mark Von Tress |
|
7 |
| MWSUG |
1991 |
Using Analysis of Variance to Analyze Toxicology Data |
Peggy T. Konopacki,
George W. Pasdirtz |
|
6 |
| SEUGI |
1991 |
A Graphical Demonstration of Statistical Concepts |
Marlies Lacante |
source |
13 |
| SEUGI |
1991 |
Method of Exact Samples for Testing Statistical Packages |
Ene-Margit Tiit,
M. Viil,
S. Koskel |
source |
5 |
| 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 SAS Program for Calculating and Displaying Regression Lines in Two-Way ANCOVA Models with Unequal Slopes |
Joseph J. Andary |
source |
5 |
| SUGI |
1991 |
About JMP 2.0 |
John P. Sall,
Katherine Ng,
Michael Hecht,
Ann Lehman |
source |
6 |
| SUGI |
1991 |
Automated Generation of Statistical Tables: Integration of Structured Programming and SAS Macros |
Lee-Hwa Jane,
Maureen McCormick |
source |
5 |
| SUGI |
1991 |
Database Validation: A Random-Sample Audit Procedure |
Bruce Wentworth,
James M. Harper,
Barbara A. Costantini,
David A. Bennett |
source |
4 |
| SUGI |
1991 |
Exact Confidence Intervals for Estimating Proportions When Sampling from a Finite Population |
How J. Tsao,
Steven M. LaLonde |
source |
5 |
| SUGI |
1991 |
Implementation in the SAS System of the Bradu and Mundlak Minimum Variance Unbiased Estimator of the Mean of a Lognormal Distribution |
Sally Powell |
source |
5 |
| SUGI |
1991 |
Incorporating Adjustment into Sample Data Products |
Willard Carl Losinger,
Alfredo Navarro |
source |
6 |
| SUGI |
1991 |
Introduction to Hypothesis Testing Using the Normal Distribution, the t-Test and the SAS System |
Arthur L. Carpenter |
source |
5 |
| SUGI |
1991 |
Power Analysis and Instructional Monte Carlo Simulations |
Richard W. Cole |
source |
4 |
| SUGI |
1991 |
The Pair Chart Macro: A Simple Graphical Representation of the Two-Sample Problem |
Michael Riggs,
Janna Harris,
Dana Quade |
source |
6 |
| MWSUG |
1990 |
A Demonstration of the Utility of SAS in Creating Examples to Aid in the Teaching of Statistical Concepts |
Earnest Davenport |
|
9 |
| MWSUG |
1990 |
The Pair Chart Macro: A quick Graphical Representation of the Two-Sample Problem |
Michael Riggs |
|
10 |
| SUGI |
1990 |
Best Presentation of Data-Monochrome |
Vincent G. Iannacchione |
source |
4 |
| SUGI |
1990 |
Determining Sample Sizes Needed to Achieve the Specified Confidence Levels - Binomial Distribution Approach |
Shi-Tao Yeh |
source |
4 |
| SUGI |
1990 |
Estimating Standard Errors for a Proposed Survey |
Samuel M. Slowinski,
Hank Leddon |
source |
6 |
| SUGI |
1990 |
Hypotheses and Sample Size for Showing Equivalence |
James J. Ashton |
source |
5 |
| SUGI |
1990 |
Interactive Random Sampling |
Ashok Mehta,
Paul H. Bern |
source |
3 |
| SUGI |
1990 |
The Distribution of Cronbach's Coefficient Alpha from the CORR Procedure of SAS Software |
Andrew J. Cucchiara,
Susan J. Kenny,
J. Paul Costiloe |
source |
6 |
| SUGI |
1990 |
Unbiased Estimators of Shrinkage for Chi-Square Based Measures of Association |
Richard F. Haase |
source |
6 |
| SUGI |
1990 |
Using a SAS/AF Application to Calculate the Power of a Statistical Test |
John F. Schneider,
Robert A. McLean,
William L. Sanders |
source |
6 |
| SUGI |
1990 |
Using the SAS System to Prepare Hospital Inpatient Claims Data for Case-Mix Analyses |
Daniel R. Bretheim |
source |
8 |
| SUGI |
1990 |
Using Variance Components and Confidence Contours to Estimate Numbers of Primary and Secondary Sampling Units |
Andrew G. Stead |
source |
5 |
| NESUG |
1989 |
Sequential Sampling Techniques and Weighted Analysis |
Wendell F. Refior |
|
7 |
| SEUGI |
1989 |
Metaanalysis Objectives And Methods |
Jean-Claude Peyrieux |
source |
6 |
| SEUGI |
1989 |
Sample Size For Two-Stage Designs In Phase II Clinical Trials |
Alfredo Ardia |
source |
6 |
| SUGI |
1989 |
A Class of Highly Efficient Resistant and Robust Estimators for Simple Linear Regression for Use with the SAS System |
Evelyn A. Adler |
source |
6 |
| SUGI |
1989 |
A Procedure for the Analysis of Multivariate Binomial Data with Adjustments for Multiplicity |
Youling Lin,
Peter H. Westfall,
S. Stanley Young |
source |
8 |
| SUGI |
1989 |
Analysis of the Properties of Two Binomial Random Number Generators |
J. Paul Costiloe,
Andrew J. Cucchiara,
Susan J. Kenny |
source |
3 |
| SUGI |
1989 |
Complex Survey Computations Using the C Language |
James W. Mergerson |
source |
1 |
| SUGI |
1989 |
Efficient Repeated Generation of Random Samples |
Laura L. Bauer,
Hank Leddon |
source |
6 |
| SUGI |
1989 |
Examining the Relationship between Survival Time and Time-dependent Covariables Using the PHSPLM Procedure |
Frank E. Harrell Jr.,
James E. Herndon II |
source |
6 |
| SUGI |
1989 |
Expected Variation of Study-Specific Vaccine Efficacy Estimates |
Claire V. Broome,
Lee H. Harrison,
Allen W. Hightower |
source |
3 |
| SUGI |
1989 |
Field Reliability Assessment Using the Proportional Hazards Model |
Stephen Freitas,
Raymond V. Spring |
source |
5 |
| SUGI |
1989 |
MICHELLE: Statistical Graphics Library |
Dorothy Hu Huang,
Malini Krishnan,
Grace Yeh |
source |
6 |
| 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 |
| SEUGI |
1988 |
GBLAND: A Graphical SAS Macro for Statistical Analysis of Measurement Method Comparison and Measurement Repeatability |
Bob Day,
Retha Keyser |
source |
10 |
| SEUGI |
1988 |
Size and Power of the Anderson-Hauck Test and the Double T-Test in Equivalence Problems |
Jochen Müller-Cohrs |
source |
9 |
| SEUGI |
1988 |
Using the SAS System for the Analysis of Means |
Randy Topp |
source |
8 |
| SUGI |
1988 |
A SAS Macro for Computing Pooled Intragroup Correlation Coefficients and Testing for Group Homogeneity |
Norman A. Constantine,
Michael S. Shing |
source |
4 |
| SUGI |
1988 |
An Expert Sample Allocation Program |
James W. Mergerson |
source |
2 |
| SUGI |
1988 |
Analyzing for Independence of Sequential Events with Markov Chain Models with the SAS System for Personal Computers |
Paul F. Steblein |
source |
5 |
| SUGI |
1988 |
Application of the Analysis of Means |
Peter R. Nelson |
source |
6 |
| SUGI |
1988 |
CADAE: Computer-assisted Design and Analysis of Response Surface Experiments |
Mark J. Levine |
source |
4 |
| SUGI |
1988 |
Comparison of Quantile Estimation Methods in the UNIVARIATE Procedure |
Robert F. Carsel,
Rudolph S. Parrish |
source |
6 |
| SUGI |
1988 |
Jonckheere's Test Procedure for Dose-Response Trend |
Dorothy Hu Huang,
Armand Robles |
source |
6 |
| 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 |
To Pool or Not to Pool in a Multicenter Clinical Trial |
Gregory T. Schwemer |
source |
4 |
| SUGI |
1988 |
Type I Error Rate for Small Sample Sizes Using Various Options of the CATMOD Procedure |
J. Paul Costiloe,
Andrew J. Cucchiara,
Susan J. Kenny |
source |
4 |
| SUGI |
1988 |
Using the SAS System for Analysis of Means |
Donna O. Fulenwider |
source |
8 |
| SEUGI |
1987 |
Factor Analysis An Annotated Example |
Marcus Schmidt |
source |
23 |
| SUGI |
1987 |
Confidence Limits for the Product Moment Correlation Coefficient Based upon Normalizing Transformations |
Herbert Hamilton |
source |
6 |
| 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 |
Generating Sample Sizes for Hypergeometric Sampling. Plans Using SAS Software |
Melvin T. Alexander |
source |
5 |
| SUGI |
1987 |
Measures of Multivariate Skewness and Kurtosis |
Ronald Kalinoski,
NamJun Kang |
source |
6 |
| SUGI |
1987 |
Sampling with SAS Software: A Macro for Drawing PPS Samples |
Eleanor M. Dillon,
James E. Smith |
source |
5 |
| SEUGI |
1986 |
An Introduction to SAS/QC Software |
Gerhard Held |
source |
11 |
| SUGI |
1986 |
A SAS Macro Which Computes Upper Confidence Limits of the Number of Defective Units in a Lot |
Melvin T. Alexander |
source |
4 |
| SUGI |
1986 |
An Introduction to SAS/QC Software |
Robert N. Rodriguez |
source |
11 |
| SUGI |
1986 |
Measuring Data Variability |
Fred Gehm |
source |
3 |
| SUGI |
1986 |
Power Analysis for Linear Models |
Ralph G. O'Brien |
source |
8 |
| SUGI |
1986 |
PROC RSMCB: A Procedure for Ranking, Selection, and Multiple Comparisons with the Best |
James C. Aubuchon,
Shanti S. Gupta,
Jason C. Hsu |
source |
5 |
| SUGI |
1986 |
The SAS System as a Tool for the Financial Systems Auditor |
Ferrell Drewry |
source |
20 |
| SUGI |
1986 |
Using the SAS System to Perform Power Analyses for Log-Linear Models |
Ralph G. O'Brien |
source |
7 |
| SUGI |
1985 |
A SAS Routine to Compute Minimum Sample Sizes for Single Attribute Sampling Plans |
Melvin T. Alexander |
source |
4 |
| SUGI |
1985 |
An Interactive, Menu-Driven SAS System for Sample Size and Power Computations in Clinical Trial Design |
Gregory G. Enas,
Walter W. Offen,
John D. Taulbee |
source |
6 |
| SUGI |
1985 |
Applications in Bayesian Analysis |
Arnold Zellner |
source |
7 |
| SUGI |
1985 |
Macro Power: A Procedure to Generate Wilcox on Rank Sum Power Curves |
Michael J. Todd |
source |
4 |
| SUGI |
1985 |
Macros for Paired Categorical or Continuous Scale Data Analysis |
Thomas E. Bradstreet |
source |
8 |
| SUGI |
1985 |
Optimal Allocation for the Comparisons of Two Proportions |
David C. Huang |
source |
6 |
| SUGI |
1985 |
SAS Software for Stratified Analysis |
William M. Stanish |
source |
6 |
| SUGI |
1985 |
Survey Design from Start to Finish |
Timothy A. Grunwald,
Samuel M. Slowinski |
source |
6 |
| SUGI |
1985 |
Taking MDS Beyond Similarity Data |
J.O. Ramsay |
source |
7 |
| SUGI |
1985 |
The Jonckheere-Terpstra Non parametric Test for Trend Utilizing SAS Macros |
Robert S. Hoop,
Iraj Mohebalian |
source |
5 |
| SUGI |
1985 |
Use of the SAS Macro Language in Developing Control Chart Limits |
Thomas P. Walker Jr. |
source |
4 |
| SUGI |
1984 |
A Procedure for Selecting Multiple-Item Cutoff Samples |
Eugene M. Burns |
source |
6 |
| SUGI |
1984 |
An Evaluation of the Power of the K-Sample Bell-Doksum Statistics |
Edward P. Barry,
Amy Ko |
source |
6 |
| SUGI |
1984 |
Estimating Power for Tests of the Multivariate General Linear Hypothesis |
Keith E. Muller,
Bercedis L. Peterson |
source |
5 |
| SUGI |
1984 |
Generating Bivariate Exponential Distributions via SAS Macros with Application to Repeated Measures Designs |
Melvin Moeschberger,
P. K. Tandon |
source |
4 |
| SUGI |
1984 |
Power Analysis for Linear Models: The Time Has Come |
Virginia I. Lohr,
Ralph G. O'Brien |
source |
7 |
| SUGI |
1984 |
Power Analysis for Univariate Linear Models: The SAS System Makes It Easy.. |
Virginia I. Lohr,
Ralph G. O'Brien |
source |
6 |
| SUGI |
1984 |
REPREG: A Repeated Measures Regression Program |
Randy L. Carter,
James T. Love |
source |
6 |
| SUGI |
1984 |
SAS Macros for Sample Size and Power Calculations |
Erik J. Bergstralh |
source |
6 |
| SUGI |
1984 |
Statistics Automation: Using SAS Macros to Produce Report-Ready Statistical Analysis Tables |
Walter W. Offen |
source |
5 |
| SUGI |
1983 |
Analysis of Variance and Subset Selection |
S.J. Bean,
Paul N. Somerville |
source |
3 |
| SUGI |
1983 |
Effect Size and Power in Two Factor Nonorthogonal ANOVA: A Monte Carlo Investigation |
Margaret J. Martin,
William A. Powers |
source |
|
| SUGI |
1983 |
Generalized Program for Stratification &Strata Deterioration Analysis-GPSSD.. |
Bonnie Brown Jacobson |
source |
6 |
| SUGI |
1983 |
Interactive Control Charts using SAS82 |
David C. Schlotzhauer |
source |
|
| SUGI |
1983 |
Overview of Categorical Data Analysis Methods |
Ingrid A. Amara,
Susan Atkinson,
Gary G. Koch,
William M. Stanish |
source |
10 |
| SUGI |
1983 |
SAS Macros for F-test Power Computations in Balanced Experimental Designs |
Andrew J. L. Cary |
source |
|
| SUGI |
1983 |
Within-Drug Changes in a Multicenter Clinical Trial and Their Applications .. |
Harji I. Patel |
source |
|
| SUGI |
1982 |
Iowa Survey of Dental Health: Stepwise Regression Results |
J.D. Beck,
J. Jakobsen,
B. Townsend |
source |
5 |
| SUGI |
1982 |
Macros for Systematic Sample Selection and Variance Estimation from Ordered Frames |
Josefina A. Lago |
source |
|
| SUGI |
1982 |
Minimum Sample Size Designs for Testing Interaction |
James E. Dunn,
Mary S. Hirsch |
source |
|
| SUGI |
1982 |
Optimal Stratified Sampling, with an Application to Auditing |
Edward L. Spitznagel |
source |
3 |
| SUGI |
1982 |
PROC PARCAT: A Procedure for Testing Average Partial Association |
Ronald G. Fleming,
J. Richard Landis,
Douglas P. Schnautz |
source |
6 |
| SUGI |
1982 |
The Rank Transformation in Discriminant Analysis |
William Jay Conover,
Ronald L. Iman |
source |
10 |
| 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 |
Variable Selection for Categorical Data Using SAS |
Erik J. Bergstralh,
Susan McGorray |
source |
6 |
| SUGI |
1981 |
A SAS Macro for EDF Goodhess-of-fit Tests |
Charles S. Davis |
source |
6 |
| SUGI |
1981 |
Missing Data in Multivariate Linear Models: A Comparison of Several Estimation Techniques |
James D. Hosking |
source |
|
| SUGI |
1981 |
Relative Risk Estimation from Epidemiologic Studies of Matched Sets |
Elizabeth J. Martin,
Judith H. Mopsik,
Linda Williams Pickle |
source |
5 |
| SUGI |
1981 |
Robust Measures of Scale in Outlier Detection |
Paul W. Fingerman |
source |
6 |
| SUGI |
1981 |
The Effect of Sample Size on the True Alpha Level with FUNCAT: A Simulation Study |
John L. Stedl |
source |
4 |
| SUGI |
1981 |
Type I Error Rates for the Unequal Variance T Test |
J. Philip Miller,
Robert P. Parks,
Reimut Wette |
source |
|
| SUGI |
1980 |
A Macro for Multivariate Randomization Analyses of Stratified Sample Data |
Ingrid A. Amara,
Gary G. Koch |
source |
11 |
| SUGI |
1980 |
Further Properties of the Pair Chart |
John L. Stedl |
source |
1 |
| SUGI |
1980 |
SAS Sample Selection Macros |
James R. Chromy,
Rick L. Williams |
source |
5 |
| SUGI |
1979 |
A SAS Macro for Selecting a Random Sample of Data Points from a SAS Database |
W. S. Cash,
K. Martin |
source |
4 |
| SUGI |
1979 |
DESIGN, a Macro for Constructing Optimum Experimental Designs |
Ed R. Jones |
source |
6 |
| SUGI |
1978 |
Maximum Likelihood Estimation of the Multivariate Logistic |
Martha McCrate,
Michael A. Province,
Reimut Wette |
source |
3 |
| SUGI |
1977 |
PROCEDURE WILCOX - A SAS-76 Procedure for Estimating the Ratio of Two Random Variables |
K. Deva Kumar,
Rodney H. Strand |
source |
6 |
| SUGI.ONE |
1976 |
A Comparison of BMD, SAS and SPSS |
T. Papaioannou,
G.P.H. Styan,
L.L. Ward |
source |
21 |
HOME
QUICK SEARCH
AUTHORS
KEYWORDS
HELP
BUGS