| PharmaSUG CN |
2026 |
A Standardized Programming Framework for Daily Dose Dataset Construction from Multi-Source Clinical Data |
Xianjun Li,
Chengye Lu |
source |
10 |
| PharmaSUG CN |
2026 |
Implementation of IPCW in Oncology Trials and Enhanced SAS Macro Tools |
Jiayi Chen,
Meiqing Huang |
source |
13 |
| PharmaSUG |
2026 |
Schema-Preserving Generation of Clinical TLF Templates and Executable R Code via Iterative LLM-Guided Debugging |
Jaime Yan,
Ming Yang |
source |
18 |
| PHUSE US |
2026 |
Across the Multiverse ... Statistically Speaking |
Cralen Davis |
source
presentation source |
4 |
| 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 |
Manual vs AI-Assisted Workflows: Practical Strategies for Complex R Package Development [presentation] |
Vedha Viyash |
source |
41 |
| PHUSE EU |
2025 |
Collaborative Industry Open-Source Solutions for Clinical Trial Quality Management |
Björn Koneswarakantha,
Frederik Collin |
source
presentation source |
9 |
| PHUSE EU |
2025 |
Elevating Data Advocacy: Transforming Dashboards with React.JS and AI-Powered Innovation |
Richard Becker,
Markus Niederstrasser |
source
presentation source |
8 |
| MWSUG |
2025 |
Multivariate Ratio Edits Using Tolerance Intervals [presentation] |
Daniel Tuyisenge,
Derek Young,
Thomas Mathew |
source |
26 |
| PHUSE US |
2025 |
Comparing Confidence Intervals for a Difference in Adjusted Predicted Probabilities |
Cralen Davis,
Trevano Dean |
source
presentation source |
5 |
| PHUSE EU |
2024 |
Bootstrap Simulation for Outlier Detection in Operational Site Metrics Using Patient Reassignment |
Björn Koneswarakantha |
source
presentation source |
3 |
| PharmaSUG CN |
2024 |
Implementing Statistical Methods in Companion Diagnostic: A Case Study in NSCLC |
Danxia Hu,
Mandy Gao,
Jianyong Tong |
source |
10 |
| WUSS |
2023 |
Leveraging Logistic Regression and Bootstrap Sampling to Assess a Decision Threshold in Classification Predictive Analytics |
Colleen E. McGahan |
source |
15 |
| WUSS |
2023 |
The Delta Method in Statistical Inference, with Applications in the SAS IML Procedure |
Carter Sevick,
Camille Moore,
Samantha MaWhinney |
source |
14 |
| PHUSE EU |
2022 |
Release Your Creativity on Your Company Laptop |
Johannes Ulander |
source
presentation source |
10 |
| PharmaSUG |
2022 |
Simple and Efficient Bootstrap Validation of Predictive Models Using SAS/STAT Software |
Matthew T. Slaughter,
Isaiah Lankham |
source |
22 |
| PHUSE EU |
2021 |
Automated Testing of the Programming Workflow Using Cypress [presentation] |
Darwin Hadley |
source
video |
15 |
| PHUSE EU |
2021 |
Easy Parallel Processing in SAS/BASE: A Case Study [presentation] |
Anna Socha,
Paul Wicks |
source
video |
17 |
| PHUSE EU |
2021 |
Let's ROC: An Empirical Approach to Confidence Intervals of Receiver-Operator Characteristic Curves [presentation] |
Alexander Ullmann,
Sanna Ström |
source
video |
41 |
| SESUG |
2021 |
Screening, Binning, Transforming Predictors for a Generalized Logit Model |
Bruce S. Lund |
source |
17 |
| PharmaSUG |
2021 |
Mitigating Multicollinearity: Using Regulation Techniques to Minimize the Effect of Collinearity |
Deanna Naomi Schreiber-Gregory |
source |
23 |
| SGF |
2021 |
A Framework for Simple and Efficient Bootstrap Validation in SAS, with Examples |
Isaiah Lankham,
Matthew T. Slaughter |
source |
22 |
| SGF |
2021 |
A SAS Macro to Perform Bootstrapping for Internal Validation of Time-Dependent Area Under the Curve |
Jialin Han,
Jiali Ling,
Maria E. Montez-Rath,
Margaret R. Stedman |
source |
9 |
| SGF |
2020 |
A SAS Macro for Calibration of Survey Weights |
Anthony B. An |
source |
12 |
| SGF |
2020 |
Data Entry in SAS Visual Analytics: Is It Possible? |
Xavier Bizoux |
source |
20 |
| SGF |
2020 |
Estimating Jump Diffusion and VaR Models of REITs Returns Using High-Frequency Data in SAS |
Tunde Odusami |
source |
25 |
| SGF |
2020 |
How to Make Your First Impressive Web Application with Stored Processes and a Web Browser |
Philip A. Mason |
source |
20 |
| SGF |
2020 |
SAS Viya 3.5 Kerberos Constrained Delegation: Putting the Dog on a Leash |
Stuart J. Rogers |
source |
20 |
| SGF |
2020 |
Simple and Efficient Bootstrap Validation of Predictive Models Using SAS/STAT Software |
Isaiah Lankham,
Matthew T. Slaughter |
source
github |
15 |
| SGF |
2020 |
Using a Microsimulation to Evaluate Population and Policy Changes on Program Integrity Priorities |
Jonathan Smith,
Meghan Beckowski,
Michael Greene,
Andrew Kemple,
Bil Westerfield |
source |
15 |
| SESUG |
2019 |
Bootstrapping Regression Models using PROC SURVEYSELECT |
Bryce Whitehead,
Austin R. Brown |
source |
7 |
| SCSUG |
2019 |
Building a Neural Network Scoring Model with JMP and Microsoft SQL Server to predict Aggregate Motor Vehicle Driver Alcohol Impairment |
David Whitchurch |
source |
10 |
| WUSS |
2019 |
Measuring Test-Retest Reliability: The Intraclass Kappa |
Dennis G. Fisher,
Grace L. Reynolds,
Eric Neri,
Arthur M. Noda,
Helena Chmura Kraemer |
source |
9 |
| PharmaSUG |
2019 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
source |
23 |
| 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 |
Extending the Reach of Kerberos Authentication from SAS Viya 3.4 to Apache Hadoop |
Stuart J. Rogers |
source |
20 |
| SGF |
2019 |
How SAS Viya Ensures that Your Data Is Safeguarded by Default with Secure Encryption Techniques |
Alec S. Fernandez,
Destiny Harrell |
source |
26 |
| SGF |
2019 |
Measuring Model Stability |
Daymond Ling |
source |
15 |
| SGF |
2019 |
Real-World Evidence and Population Health Analytics: Intersection and Application |
David Olaleye |
source |
16 |
| SGF |
2019 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory |
source |
23 |
| SGF |
2019 |
SAS Grid Quick Start 2.0 on Amazon Web Services |
Siddharth Prasad,
Srikanth Mergu |
source |
5 |
| SGF |
2019 |
The Anatomy of an Artificial Intelligence Solution for Automation of Underwriting Decision-Making |
Tanya Kolosova |
source |
17 |
| SGF |
2019 |
Using SAS to Validate Prediction Models |
Xiaoting Wu,
Chang He,
Donald S. Likosky |
source |
9 |
| SESUG |
2018 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory,
Henry M. Jackson |
source |
23 |
| SESUG |
2018 |
SAS/STAT 14.3 Round-Up: Modern Methods for the Modern Statistician |
Maura E. Stokes |
source |
9 |
| MWSUG |
2018 |
Assessing Model Adequacy in Proportional Hazards Regression |
Michael G. Wilson |
|
37 |
| MWSUG |
2018 |
Bootstrap Linear Mixed-Effects Models using SAS Procedures |
Adams Kusi Appiah |
|
17 |
| MWSUG |
2018 |
Regularization Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory,
Karlen Bader |
|
23 |
| MWSUG |
2018 |
Using SAS to Validate Clinical Prediction Models |
Xiaoting Wu,
Chang He,
Donald S. Likosky |
|
8 |
| 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 |
Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets |
Deanna Naomi Schreiber-Gregory |
source |
23 |
| WUSS |
2018 |
The Anatomy of Artificial Intelligence Solution for Automation of Underwriting Decision-Making Process. |
Samuel Berestizhevsky,
Tanya Kolosova |
source |
16 |
| PHUSE US |
2018 |
Missing Data Imputation and Its Effect on the Accuracy of Classification |
Edwin Ponraj Thangarajan,
Giri Balasubramanian |
source
presentation source |
15 |
| SGF |
2018 |
Estimation of Correlation Coefficient in Data with Repeated Measures |
Katherine Irimata,
Paul Wakim,
Xiaobai Li |
source |
19 |
| SGF |
2018 |
Evaluating the Accuracy of Clinical Prediction Models for Binary and Survival Outcomes |
Joseph C. Gardiner |
source |
21 |
| SGF |
2018 |
Penalized Variable Selection and Quantile Regression in SAS : An Overview |
Russell M. Lavery |
source |
28 |
| 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 |
SAS/STAT 14.3 Round-Up: Modern Methods for the Modern Statistician |
Maura E. Stokes |
source |
9 |
| SGF |
2018 |
Tips and Techniques for Using the Random-Number Generators in SAS |
Rick Wicklin,
Warren Sarle |
source |
14 |
| PharmaSUG |
2017 |
Application of Deming Regression in Molecular Diagnostics using a SAS Macro |
Merlin Njoya,
Pari Hemyari |
source |
6 |
| SGF |
2017 |
Build Lightning-Fast Web Apps with HTML5 and SAS |
Allan Bowe |
source |
16 |
| SGF |
2017 |
Developing a Predictive Model of Physician Attribution of Patient Satisfaction Surveys |
Ken Ferrell |
source |
5 |
| SGF |
2017 |
Estimating Causal Effects from Observational Data with the CAUSALTRT Procedure |
Michael Lamm,
Yiu-Fai Yung |
source |
18 |
| SGF |
2017 |
SAS Macros for Computing the Mediated Effect in the Pretest-Posttest Control Group Design |
David P. MacKinnon |
source |
10 |
| 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 |
| MWSUG |
2016 |
An Animated Guide: Penalized variable selection techniques in SAS and Quantile Regression |
Russell M. Lavery,
Peter Flom |
|
24 |
| MWSUG |
2016 |
Using SAS to Generate p-Values with Monte Carlo Simulation |
Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Michael Woodford,
Gloria Palmisano,
Gretchen Piatt,
Michele Heisler |
|
14 |
| WUSS |
2016 |
Hierarchical Generalized Linear Models for Behavioral Health Risk-Standardized 30-Day and 90-Day Readmission Rates |
Allen Hom |
source
pptx |
20 |
| WUSS |
2016 |
Social Media, Anonymity, and Fraud: HP Forest Node in SAS Enterprise Miner |
Taylor K. Larkin,
Denise J. McManus |
source |
5 |
| SGF |
2016 |
Analyzing the Hospital Episode Statistics Data Set: How Much Does SAS Help? |
Violeta Balinskaite |
source |
9 |
| SGF |
2016 |
Statistical Comparisons of Disease Prevalence Rates Using the Bootstrap Procedure |
Matthew Dutton,
Charlotte Baker |
source |
6 |
| SGF |
2016 |
Survey Data Imputation with PROC SURVEYIMPUTE |
Pushpal K. Mukhopadhyay |
source |
26 |
| SGF |
2016 |
What about When It's Down? An Application for the Enhancement of the SAS Middle-Tier User Experience |
Christopher Blake |
source |
11 |
| SESUG |
2015 |
Using SAS to Create an Effect Size Resampling Distribution for a Statistical Test |
Peter S. Wludyka |
source |
10 |
| WUSS |
2015 |
Introduction to SAS Quantile Regression (PROC QuantSelect and PROC QuantReg ) |
Peter L. Flom |
source |
25 |
| WUSS |
2015 |
Using Bootstrapping to Evaluate LOS Median Differences between Two Knee Arthroplasty Procedures |
Yubo Gao |
source |
6 |
| SGF |
2015 |
Permit Me to Permute: A Basic Introduction to Permutation Tests with SAS/IML Software |
John Vickery |
source |
15 |
| SGF |
2015 |
Replication Techniques for Variance Approximation |
Taylor Lewis |
source |
19 |
| SGF |
2015 |
The More Trees, the Better! Scaling Up Performance Using Random Forest in SAS Enterprise Miner |
Narmada Deve Panneerselvam |
source |
10 |
| SGF |
2015 |
Unconventional Data-Driven Methodologies Forecast Performance in Unconventional Oil and Gas Reservoirs |
Keith R. Holdaway,
Louis Fabbi,
Dan Lozie |
source |
20 |
| 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 |
Tricks and Tips for Using the Bootstrap in JMP Pro 11 |
Jason Brinkley |
source |
13 |
| SESUG |
2014 |
Using SAS to Create a p-value Resampling Distribution for a Statistical Test |
Peter S. Wludyka |
source |
12 |
| SESUG |
2014 |
Using SAS to Examine Mediator, Direct and Indirect Effects of Isolation and Fear on Social Support Using Baron& Kenny Combined with Bootstrapping Methods |
Abbas S. Tavakoli,
Sue P. Heiney |
source |
12 |
| PHUSE EU |
2014 |
Evaluating the Tradeoff between Quality of Life through Quality-Adjusted Survival Analysis |
Lawrence Rasouliyan |
source
presentation source |
12 |
| WUSS |
2014 |
Decision Trees as a Predictive Modeling Method |
Gerry Hobbs |
source |
8 |
| WUSS |
2014 |
Fuzzy Bootstrap Matching |
Dale Harrington |
source |
9 |
| SGF |
2014 |
%COVTEST: A SAS Macro for Hypothesis Testing in Linear Mixed Effects Models via Parametric Bootstrap |
Peter Ott |
source |
9 |
| SGF |
2014 |
A SAS Macro to Diagnose Influential Subjects in Longitudinal Studies |
Grant Schneider,
Randy Tobias |
source
zip |
18 |
| SGF |
2014 |
Analyzing Interval-Censored Data with the ICLIFETEST Procedure |
Changbin Guo,
Ying C. So,
Gordon Johnston |
source |
16 |
| SGF |
2014 |
Is Nonlinear Regression Throwing You a Curve? New Diagnostic and Inference Tools in the NLIN Procedure |
Biruk Gebremariam |
source |
16 |
| SGF |
2014 |
Model Variable Selection Using Bootstrap Decision Tree |
David J. Corliss |
source |
7 |
| SGF |
2014 |
Non-Empirical Modeling: Incorporating Expert Judgment as a Model Input [presentation] |
John Parker |
source |
20 |
| SGF |
2014 |
SAS/STAT 13.1 Round-Up |
Bob Rodriguez,
Maura E. Stokes |
source |
25 |
| WUSS |
2013 |
Decision Trees as a Predictive Modeling Method |
Gerry Hobbs |
source |
8 |
| WUSS |
2013 |
Optimism of Best Subset Selection by AIC/BIC for Prognostic Model Building |
Yinghui Miao,
Irena Stijacic Cenzer,
Katharine Kirby,
W. John Boscardin |
source |
13 |
| NESUG |
2013 |
Model Variable Selection Using Bootstrapped Decision Tree |
David J. Corliss |
|
8 |
| SGF |
2013 |
10-Minute JMP |
George J. Hurley |
source |
11 |
| SGF |
2013 |
Assessing Model Adequacy in Proportional Hazards Regression |
Michael G. Wilson |
source |
36 |
| SGF |
2013 |
Estimating Harrell's Optimism on Predictive Indices Using Bootstrap Samples |
Irena Stijacic Cenzer,
W. John Boscardin,
Katharine Kirby,
Yinghui Miao |
source |
12 |
| SGF |
2013 |
Examining Mediator and Indirect Effects of Loneliness in Social Support on Social Well-Being Using the Baron and Kenny Method and a Bootstrapping Method |
Abbas S. Tavakoli,
Sue P. Heiney |
source |
12 |
| NESUG |
2012 |
An Animated Guide: Regression Trees in JMP and Enterprise Miner |
Russell M. Lavery |
|
32 |
| PHUSE EU |
2012 |
Bootstrap Analysis Double-Independent Programming: Issues and Solutions |
Nils Penard |
source
presentation source |
10 |
| PHUSE EU |
2012 |
Bootstrap simulations to estimate Overall Survival based on the distribution of a historical control |
Antonio Nieto,
Javier Gómez |
source
presentation source |
7 |
| MWSUG |
2012 |
JMP Pro Bootstrap Forest |
George J. Hurley |
|
10 |
| WUSS |
2012 |
Estimating Harrell's Optimism on Predictive Indices Using Bootstrap Samples |
Irena Stijacic Cenzer,
Yinghui Miao,
Katharine Kirby,
W. John Boscardin |
source |
9 |
| WUSS |
2012 |
The influence of small sample sizes on empirical Bayes' predictors inlongitudinal data sets |
Jennifer Wang |
source |
6 |
| SGF |
2012 |
A Bootstrapped Kappa Statistic for a Multiple-Rater Multiple-Category Problem |
Yubo Gao |
source |
4 |
| 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 |
Let Oil and Gas Talk to You: Predicting Production Performance |
Keith R. Holdaway |
source |
12 |
| SGF |
2012 |
Using SAS for the Design, Analysis, and Visualization of Complex Surveys |
Sharon Lohr |
source |
15 |
| 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 |
JMP Analytics Applied in Diagnostic Radiology and Neurosurgery Trauma Research |
Melvin T. Alexander |
source |
18 |
| MWSUG |
2011 |
Bootstrap power analysis using SAS |
Douglas Thompson,
Nort Holschuh,
Bruce Barton,
Ann Albertson |
|
8 |
| NESUG |
2011 |
SAS Macro for Nonparametric Residual Bootstrap Multilevel Modeling |
Jichuan Wang,
Peichang Shi,
Avital Cnaan |
|
6 |
| 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 |
Using SAS Procedures FREQ, GENMOD, LOGISTIC, and PHREG to Estimate Adjusted Relative Risks: A Case Study |
Jiming Fang |
source |
11 |
| SGF |
2011 |
Visualizing Marginal Effects from Interactions in Generalized Linear Models |
Xiao Chen,
Brigid Wilson |
source |
7 |
| WUSS |
2010 |
Decision Trees as a Predictive Modeling Method |
Gerry Hobbs |
source |
7 |
| WUSS |
2010 |
Rediscovering SAS/IML Software: Modern Data Analysis for the Practicing Statistician |
Rick Wicklin |
source |
18 |
| SGF |
2010 |
BootstrapMania!: Re-sampling the SAS Way |
David L. Cassell |
source |
11 |
| SGF |
2010 |
Rediscovering SAS/IML Software: Modern Data Analysis for the Practicing Statistician |
Rick Wicklin |
source |
18 |
| SGF |
2010 |
The Power of Personalization with JMP |
Ian D. Cox |
source |
17 |
| NESUG |
2009 |
Using the New SURVEY Procedures From a Modeling Perspective |
Jonas V. Bilenas |
|
13 |
| WUSS |
2009 |
Don't Be Loopy: Re-Sampling and Simulation the SAS Way |
David L. Cassell |
source |
18 |
| PharmaSUG |
2009 |
Don't Be Loopy: Re-Sampling and Simulation the SAS Way |
David L. Cassell |
|
18 |
| PharmaSUG |
2009 |
ROC analysis for the evaluation of continuous biomarkers: Existing tools and new features in SAS 9.2 |
Sanghyuk Shin |
|
15 |
| SGF |
2009 |
Applications of the GLMSELECT Procedure for Megamodel Selection |
Robert A. Cohen |
source |
25 |
| WUSS |
2008 |
Testing Performance of Various Confidence Interval Methods for Non-Normal Means |
Keiko I. Powers |
source |
8 |
| SESUG |
2008 |
SAS Stat Studio: A Programming Environment for High-End Data Analysts |
Rick Wicklin |
source |
19 |
| MWSUG |
2008 |
SAS Stat Studio: A Programming Environment for High-End Data Analysts |
Rick Wicklin |
|
19 |
| PNWSUG |
2008 |
SAS Stat Studio: A Programming Environment for High-End Data Analysts |
Maura E. Stokes |
|
19 |
| NESUG |
2008 |
Early Detection of Epidemic Outbreaks and Financial Bubbles Using Autoregressive Models with Structural Changes |
Ernest S. Shtatland,
Timur Shtatland |
|
15 |
| SGF |
2008 |
Evaluating Predictive Models: Computing and Interpreting the c Statistic |
Sigurd W. Hermansen |
source |
9 |
| SGF |
2008 |
SAS Stat Studio: A Programming Environment for High-End Data Analysts |
Rick Wicklin |
source |
19 |
| SGF |
2008 |
Use of Text Mining to Predict Patient Compliance |
Christiana Petrou |
source |
15 |
| NESUG |
2007 |
Using the New SURVEY Procedures From a Modeling Perspective |
Jonas V. Bilenas |
|
13 |
| SESUG |
2007 |
ROBUST_ES: A SAS Macro for Computing Robust Estimates of Effect Size |
Jeffrey D. Kromrey,
Kevin B. Coughlin |
source |
16 |
| WUSS |
2007 |
Data Mining Using SAS Enterprise Miner |
Randall Matignon |
source |
10 |
| WUSS |
2007 |
Don't Be Loopy: Re-Sampling and Simulation the SAS Way |
David L. Cassell |
source |
18 |
| PHUSE EU |
2007 |
Bootstrapping in a replicative bioequivalence study |
Feryal Tanriverdio,
Arne Ring |
source |
11 |
| PNWSUG |
2007 |
Don't Be Loopy: Re-Sampling and Simulation the SAS Way |
David L. Cassell |
|
18 |
| PharmaSUG |
2007 |
Cochran-Armitage Trend Test Using SAS |
Hui Liu |
|
11 |
| 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 |
Don't Be Loopy: Re-Sampling and Simulation the SAS Way |
David L. Cassell |
source |
18 |
| SGF |
2007 |
Variable Screening for Multinomial Logistic Regression on Very Large Data Sets as Applied to Direct Response Modeling |
John A. Cherrie |
source |
12 |
| NESUG |
2006 |
Using SAS to Find Bootstrap Estimates of Field Air Sampling Data |
James Slaven,
David Bartley,
Mike Rose,
Martin Harper,
Michael Andrew |
|
4 |
| SUGI |
2006 |
%hlmdata and %hlmrmpower: Traditional Repeated Measures vs. HLM for Multilevel Longitudinal Data Analysis?Power and Type I Error Rate Comparison |
Hua Fang |
source |
11 |
| PHUSE EU |
2005 |
A Practical Introduction to the Bootstrap Using the SAS System |
Nancy Barker |
source |
17 |
| MWSUG |
2005 |
Using SAS To Assess Dose Proportionality In Dose Escalation Studies |
Keith Dunnigan |
|
12 |
| PharmaSUG |
2005 |
Power Analysis and Sample Size Estimation using Bootstrap |
Xiaomei Peng,
Guangbin Peng,
Celedon Gonzales |
|
7 |
| SUGI |
2005 |
A Macro for Computing Point Estimates and Confidence Intervals for Mahalanobis Distance |
Kristine Y. Hogarty,
Jeffrey D. Kromrey,
Melinda R. Hess,
John M. Ferron |
source |
10 |
| SUGI |
2005 |
An Introduction to Quantile Regression and the QUANTREG Procedure |
Colin Chen |
source |
24 |
| SUGI |
2005 |
Model Building in PROC PHREG with Automatic Variable Selection and Information Criteria |
Emily M. Cain,
Ken Kleinman,
Ernest S. Shtatland |
source |
10 |
| 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 |
Bootstrap 101: Obtain Robust Confidence Intervals for Any Statistic |
Dave P. Miller |
source |
8 |
| SUGI |
2004 |
How I Stopped Worrying and Learned to Love Pearsons p: Increasing Robustness in Correlation Analysis |
Eric M. Rosenberg |
source |
11 |
| SESUG |
2003 |
EFFECT_CI: A SAS Macro for Constructing Confidence Intervals Around Standardized Mean Differences |
Around Standardized Mean Differences |
source |
6 |
| MWSUG |
2003 |
Parameter Estimation of a Negative Binomial for the By-product of the Gringard Reaction |
Ling Huang,
Paul W. Johnson |
|
4 |
| NESUG |
2003 |
Drawing Multiple Random Samples with Replacement |
Charles A. DePascale |
|
2 |
| SUGI |
2003 |
SAS Macros and Tools for Working with Weighted Logistic Regression Models That Use Survey Data |
David Izrael,
Annabella A. Battaglia,
David C. Hoaglin,
Michael P. Battaglia |
source |
10 |
| SEUGI |
2002 |
Do you know, how your customers use your website? You should - we do - Web analysis for Deutsche Telekom's Internet portal based on e-Intelligence, a customized SAS Solution [presentation] |
Kerstin Kruger,
Steffen Scheller |
source |
23 |
| SUGI |
2002 |
SAS Implementation of Nonparametric Smoothing and Lack-of-Fit Based on Smoothers |
George F. von Borries,
Jeffrey D. Hart |
source |
5 |
| SUGI |
2002 |
Use of the ROC Curve and the Bootstrap in Comparing Weighted Logistic Regression Models |
David Izrael,
Annabella Battaglia,
David C. Hoaglin,
Michael P. Battaglia |
source |
6 |
| SUGI |
2002 |
Using SAS to Perform Robust I-Sample Analysis of Means Type Randomization Tests for Variances for Unbalanced Designs |
Peter S. Wludyka,
Ping Sa |
source |
7 |
| SESUG |
2001 |
Bootstrapping a Multidimensional Preference Analysis |
E. Barry Moser,
Xiaoming Liang |
source |
4 |
| SCSUG |
2001 |
Bootstrapping a Multidemensional Preference Analysis |
E. Barry Moser,
Xiamong Liang |
|
4 |
| SUGI |
2001 |
New Methods for Modeling Reliability Using Degradation Data |
Jose G. Ramirez,
Gordon Johnston |
source |
7 |
| SUGI |
2001 |
Statistical Quality Control and a Capability Analysis |
Paul W. Johnson,
Ling Huang |
source |
5 |
| SESUG |
2000 |
Using Data Mining Technology to Identify and Prioritize Emerging Opportunities for Mortgage Lending to Homeownership-Deficient Communities |
Mortgage Lending |
source |
10 |
| SESUG |
2000 |
Using SAS to Perform Robust I-Sample Analysis of Means Type Randomization Tests for Variances |
Peter S. Wludyka |
source |
6 |
| NESUG |
2000 |
A Pragmatic Intent-to-Treat Analysis Using SAS |
Patricia R. Houck,
Sati Mazumdar,
Kenneth S. Liu,
Charles F. Reynolds III |
|
5 |
| SEUGI |
2000 |
Data Driven approach for channel usage segmentation [presentation] |
Vera Helman |
source |
25 |
| SEUGI |
2000 |
Two sides to the modelling problem [presentation] |
Philip Whittall |
source |
14 |
| SUGI |
2000 |
Improved Confidence Interval on the Mean Response in Simple Linearizable Regression |
Mark Carpenter,
Pandu P. Kulkarni |
source |
6 |
| WUSS |
1998 |
Overview of Java Components and Applets in SAS/IntrNet Software |
Barbara Walters,
Donald R. Chapman |
source |
9 |
| WUSS |
1998 |
Using SAS to Implement Jackknife and Bootstrap Methods for Survey Data |
Tony Ye,
Ruby Lin |
source |
4 |
| SESUG |
1998 |
[-NET SOLUTIONS Overview of Java Components and Applets in SAS/lntrNet Software |
Barbara Walters |
|
7 |
| SESUG |
1998 |
Multiple Comparison Procedures with SAS |
Chung-Kuei Chang |
|
9 |
| SESUG |
1998 |
The Replication Method for Estimating Sampling Errors, Principles, and Software |
David Morganstein,
J. Michael Brick |
|
5 |
| PNWSUG |
1998 |
Stepwise Anything: Reading in Regression Procedure Output for Further Testing |
Ted Clay,
Linda Remy |
|
10 |
| 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 |
Graphical Presentation of a Nonparametric Regression with Bootstrapped Confidence Intervals |
Mark Nicolich,
Gail Jorgensen |
source |
5 |
| SUGI |
1998 |
Improving the Rainbow Test: A Macro to Measure the Lack of Fit in Multiple Regression with the Use of the Bootstrap |
Paul W. Johnson |
source |
4 |
| SUGI |
1998 |
Multivariable Cox Proportional Hazard Model by SAS PHREG &Validation by Bootstrapping Using SAS Randomizers With Applications Involving Electrocardiology and Organ T ransplants |
Sudhanshu K. Ghoshal |
source |
6 |
| SUGI |
1998 |
Overview of Java Components and Applets in SAS/IntrNet Software |
Barbara Walters,
Donald R. Chapman |
source |
7 |
| NESUG |
1997 |
Bootstrapped Confidence Intervals for Parametric Estimates of Survival Distribution Function |
Vadim Pliner |
|
8 |
| SUGI |
1997 |
A SAS Macro for Calculating Bootstrapped Confidence Intervals About a Kappa Coefficient |
Robert A. Vierkant |
source |
5 |
| SUGI |
1997 |
Estimating Nonlinear Systems Using Customized SAS Macros: A Study on Demand for Medical Products and Services in the U.S. |
Jun Zuo,
Guijing Wang |
source |
6 |
| SUGI |
1997 |
Implementing Balanced Replicated Subsampling Designs in SAS Software |
Roland K. Hawkes |
source |
6 |
| SESUG |
1996 |
Bootstrappping Confidence Intervals and Mean Variances |
Bradley C. Martin,
Jeffrey H. Dorfman |
|
3 |
| SEUGI |
1996 |
Pricing and reserving in the general insurance industry |
John Hansen,
Christian Larsen |
source |
10 |
| SUGI |
1996 |
A SAS Macro for validating a Logistic Model with Split Sample and Bootstrap Methods |
Kwan Hur,
Charles A. Oprian,
William G. Henderson,
Sharon Urbanski,
Bharat K. Thakkar |
source |
4 |
| SUGI |
1996 |
A Tutorial on Bootstrapping in the SAS System |
Paul A. Thompson |
source |
10 |
| 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 |
| MWSUG |
1995 |
Simulation and Bootstrapping in the SAS System: A tutorial using PROC IML |
Paul A. Thompson |
|
10 |
| NESUG |
1995 |
SAS Macros for Bootstrap Samples with Stratification and Multiple Observations per Subject |
Terry Hyslop |
|
8 |
| SUGI |
1995 |
Bootstrap Cox Regression Using SAS Procedures |
Chikuma Hamada,
Junji Kishimoto |
source |
5 |
| SUGI |
1995 |
Resampling Using the SAS System |
Kelly Hood,
Sylvia Miller |
source |
6 |
| SEUGI |
1994 |
Resampling Using SAS/IML Software Some Medical Applications |
Gina Joubert |
source |
8 |
| SUGI |
1994 |
Nonstandard Uses of PROC MULTTEST: Permutational Peto Tests; Permutational and Unconditional T and Binomial Tests |
Peter H. Westfall,
Keith A. Soper |
source |
4 |
| WUSS |
1993 |
Random Sampling Without Replacement |
Hong Zhou,
Patrick Romano |
source |
2 |
| SUGI |
1993 |
An Exact Confidence Interval for the Ratio of Means Using Nonlinear Regression |
Tapon Roy |
source |
6 |
| SUGI |
1993 |
Effective Use of the MULTTEST Procedure in Japanese Biopharmaceutical Studies for Drug Development |
Masakazu Andoh,
Tohru Uwoi |
source |
5 |
| MWSUG |
1992 |
A Monte Carlo Evaluation of the Rank Transformation for Cross-Over Trials |
George W. Pasdirtz |
|
6 |
| SUGI |
1992 |
A Bootstrap Evaluation of the EM Algorithm for Censored Survival Data |
George W. Pasdirtz |
source |
6 |
| SUGI |
1992 |
Bootstrap Estimation of the Variance of Percentile Regression Parameters |
Michael L. Smith,
George Howard,
Gregory W. Evans |
source |
9 |
| SUGI |
1992 |
Extending the SAS System's Statistical Capabilities with SAS/IML Software |
Charles B. Hallahan |
source |
10 |
| MWSUG |
1991 |
Boostrapping the Kaplan-Meier Difference Equation |
George W. Pasdirtz |
|
6 |
| SEUGI |
1991 |
Simulation Methods Based on the SAS System |
Karin Schlauss,
Paul Muller |
source |
12 |
| SEUGI |
1990 |
Estimating Distribution Functions with the SAS System |
J. Hefner,
Werner Bundschuh |
source |
16 |
| SEUGI |
1990 |
Statistical Simulation with the SAS System |
Gerd Antes |
source |
7 |
| SUGI |
1990 |
Nonsymmetric Bootstrap Confidence Intervals Using SAS/IML Software on a PC |
George W. Pasdirtz |
source |
4 |
| SUGI |
1990 |
Resampling-Based Multiple Testing |
Peter H. Westfall,
Youling Lin,
S. Stanley Young |
source |
6 |
| SUGI |
1990 |
The Bootstrap and Jackknife Estimates of Variance: Two Resampling Techniques Using Release 6.03 of SAS/IML Software |
Margaret G. Hirsch,
Tamara R. Fischell |
source |
5 |
| 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 |
Estimation of Error Rates in Discriminant Analysis by Bootstrapping |
Jacques Delince,
F. Javier Gallego |
source |
5 |
| SUGI |
1989 |
P-Value Adjustments for Multiple Tests in Multivariate Binomial Models |
Peter H. Westfall,
S. Stanley Young |
source |
4 |
| SUGI |
1989 |
The PHGLM Procedure for Time-Dependent Covariates - and the Case-Cohort Design |
David Yu-Wu Pee,
Sholom Wacholder |
source |
6 |
| SUGI |
1988 |
Recent Developments in Statistical Graphics |
Lawrence H. Cox |
source |
2 |
| SUGI |
1986 |
A Macro Library for Classical and Robust Multivariate Modeling |
Kathryn S. Fletcher,
E. James Harner |
source |
3 |
| SUGI |
1985 |
Bootstrap Computations |
Robert Tibshirani |
source |
5 |
| SUGI |
1985 |
SAS Macros for Bootstrapping and Cross Validating Regression Equations |
Richard T. Carson |
source |
6 |
| SUGI |
1982 |
Robustness of Discriminant Functions |
Peter A. Lachenbruch |
source |
7 |
| SUGI |
1982 |
Using Spline Functions and the Bootstrap to Fit Differential Equation Models to Data |
Thomas P. Capizzi,
Robert D. Small |
source |
6 |
| SUGI |
1981 |
Robust Modeling of Data Using PROC MATRIX |
Anthony A. Billings,
E. James Harner,
Ronald D.King |
source |
|
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