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107 papers and 5 presentations; 103 titles.

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Conference × Year × Title × Authors Extras Pages
PHUSE EU 2025 Statistical Endpoints and Analysis in Diagnostic Imaging: The Matrix Has You and Your Data Srinivas Lanka,
James Sykes		 source
presentation source		 17
MWSUG 2025 Multivariate Ratio Edits Using Tolerance Intervals [presentation] Daniel Tuyisenge,
Derek Young,
Thomas Mathew		 source 26
MWSUG 2025 SAS Trustworthy AI Examples Caleb Petterson source 4
MWSUG 2024 A General Review of Fuzzy Matching Techniques and Their Capabilities Using SAS Kirk Paul Lafler source 31
WUSS 2024 From Keys to Credit: A Deep Dive into Homeownership's Influence on Loan Quality Yi-Che Chen,
Debanik Chakraborty		 source 15
PharmaSUG 2024 Generative Artificial Intelligence in sample size estimation - challenges, pitfalls, and conclusions Igor Goldfarb,
Vikas Sharma		 source 26
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
WUSS 2023 Introduction to Machine Learning - Descriptions and Best Practices Jim Box source 13
SESUG 2023 Designing Against Bias: Identifying and Mitigating Bias in Machine Learning and AI David J. Corliss source 9
PharmaSUG 2023 What is Machine Learning, anyway? Jim Box source 11
PHUSE US 2023 The Rule of Three: Applications in Leadership, Communication, and Strategy [presentation] Michael S Rimler source
video		 11
SESUG 2022 A Two-Staged Local Regression Based Binning Method for Weight of Evidence Transformation in Credit Scoring Models Hui Wang,
Shirong Huang,
Emma Zhou,
Erin Martin		 source 30
PharmaSUG 2022 Analysis of sample size calculations in clinical trial - errors, pitfalls and conclusions Igor Goldfarb,
Ritu Karwal,
Xiaohua Shu		 source 14
PHUSE EU 2021 Metadata: Errors Not Detected by the Pinnacle 21 Tool [presentation] Caroline Pelckmans,
Pamphile Beaujean		 source
video		 20
SGF 2021 Fundamentals of Machine Learning [presentation] Labeeb Khan source 27
SGF 2020 Sample Size Calculations Using SAS, R, and nQuery Software Jenna Cody source 19
SGF 2020 Surviving the Cox Proportional Hazards Model with the POWER Procedure Rachel R. Baxter source 6
SGF 2020 Using Analytics to Predict Tax Recovery and Prioritize Audits and Investigations in Canada Jason A. Oliver source 19
SGF 2020 Using SAS PRX functions for medical records Amy Alabaster,
Mary Anne Armstrong		 source 13
PHUSE US 2020 A Comparison of Machine Learning Algorithms for Binary Classification of Free-text Fields Using SAS, R, and Python Michael S Rimler source
presentation source		 12
PHUSE EU 2019 Using Image recognition in production support Thomas Dekelver source
presentation source		 8
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
MWSUG 2019 Evaluate your SCORE: Logistic regression prediction comparison using the SCORE statement Robert G. Downer 6
MWSUG 2019 Sample Size and Design Considerations in Studies Assessing Non-Inferiority using Continuous Outcomes Michael G. Wilson 19
PharmaSUG 2019 Performing Analytics on Free-Text Data Fields: A Programer-s Wurst Nitemare Michael S Rimler,
Matt Pitlyk		 source 18
PHUSE EU 2018 Sample Size: A Couple More Hints to Handle it Right Using SAS and R Andrii Artemchuk source
presentation source		 11
MWSUG 2018 Assessing Model Adequacy in Proportional Hazards Regression Michael G. Wilson 37
WUSS 2018 Interpreting electronic health data using SAS PRX functions Amy Alabaster,
Mary Anne Armstrong		 source 13
SGF 2018 Mitigating the Effects of Class Imbalance Using SMOTE and Tomek Link Undersampling in SAS Kyle Biron source 20
PHUSE EU 2017 Futile or Not? An Interim Analysis Case Study Ingrid Franklin source
presentation source		 9
WUSS 2017 Methods to Identify and Validate SAS-Proprietary and AES Encrypted SAS Data Sets Thomas E. Billings source 15
SGF 2017 Predictive Accuracy: A Misleading Performance Measure for Highly Imbalanced Data Josephine Akosa source 12
SGF 2017 Using SAS to Estimate SE, SP, PPV, NPV, and Other Statistics of Chemical Mass Casualty Triage Abbas S. Tavakoli,
Joan Culley,
Jane Richter,
Sara Donevant,
Jean Craig		 source
pdf		 11
PharmaSUG 2016 ROC Curve: Making way for correct diagnosis Manoj Pandey,
Abhinav Jain		 source 12
MWSUG 2015 Cross-Cultural Comparison of the School Factors Affecting Students' Achievement in Mathematical Literacy: Based on the Multilevel Analysis of PISA 2012 Yage Guo 6
SESUG 2015 Tips for Identifying Patient Characteristics Associated with Diagnostic Concordance between Two Measures Using SAS Seungyoung Hwang,
Johns Hopkins		 source 5
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 Applied Analytics in Festival Tourism: A Case Study of Intention-to-Revisit Prediction in an Annual Local Food Festival in Thailand Jongsawas Chongwatpol,
Thanathorn Vajirakachorn		 source 13
SGF 2015 Determining the Key Success Factors for Hit Songs in the Billboard Music Charts Piboon Banpotsakun,
Jongsawas Chongwatpol		 source 12
SGF 2015 Entity Resolution and Master Data Life Cycle Management in the Era of Big Data John Talburt source 16
SGF 2015 Selection and Transformation of Continuous Predictors for Logistic Regression Bruce S. Lund source 16
SCSUG 2014 Selection and Transformation of Continuous Predictors for Logistic Regression Bruce S. Lund 13
WUSS 2014 Fuzzy Bootstrap Matching Dale Harrington source 9
PharmaSUG 2014 Let SAS Improve Your CDISC Data Quality Wayne (Weizhen) Zhong source 12
SGF 2014 Reevaluating Policy and Claims Analytics: A Case of Corporate Fleet and Non-Fleet Customers in the Automobile Insurance Industry Kittipong Trongsawad,
Jongsawas Chongwatpol		 source 10
SGF 2013 Assessing Model Adequacy in Proportional Hazards Regression Michael G. Wilson source 36
SGF 2013 Feature Extraction and Rating of a Smartphone Photosharing Application Using SAS Sentiment Analysis Studio Anil Kumar Pantangi,
Goutam Chakraborty,
Sahithi Ravuri,
Siddhartha Reddy Mandati		 source
pdf		 10
SGF 2013 Targeting Public Value in New Zealand Michael O'Neil source 4
MWSUG 2012 An Analysis of Diabetes Risk Factors Using Data Mining Approach Akkarapol Sa-ngasoongsong,
Jongsawas Chongwatpol		 11
MWSUG 2012 Comparative Medication Adherence for Antihypertensive Therapy in Rural Ambulatory Clinics Terrence J. Adam 3
MWSUG 2012 ROC Analysis for the Evaluation of Ethyl Glucuronide (EtG) as a Long-term Alcohol Biomarker in Hair and Fingernails: Evidence from a Large College Drinking Study Daniel Fuhrmann,
Michael Fendrich,
Lisa Berger,
Charles Plate,
Doug Lewis,
Joseph Jones		 10
SGF 2012 A Generalized Approach to Estimating Sample Sizes Wuchen Zhao,
Arthur X. Li		 source 7
WUSS 2011 Estimating Sample Size through Simulations Wuchen Zhao source 6
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
PharmaSUG 2011 Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterprise Miner Patricia B. Cerrito source 15
PharmaSUG 2011 Estimating Sample Size through Simulations Wuchen Zhao,
Arthur X. Li		 source 6
SGF 2011 Taking Disease and Health Management Analytics into the Next Generation George S. Habek source 13
NESUG 2010 Sensitivity, Specificity, Accuracy, Associated Confidence Interval And ROC Analysis With Practical SAS Implementations Ning Wang,
Nancy N. Zeng,
Wen Zhu		 9
MWSUG 2010 Medical Guidelines: Consensus Panel Versus Healthcare Analytics Patricia B. Cerrito 17
MWSUG 2009 Group Sequential Analysis Using the New SEQDESIGN and SEQTEST Procedures Yang Yuan 20
MWSUG 2009 Predictive Modeling in Enterprise Miner Versus Regression Patricia B. Cerrito 27
NESUG 2009 Why We Need a Bayesian Approach to Early Detection of Epidemic Outbreaks and Financial Bubbles Using First-Order Autoregressive Models with Structural Changes Ernest S. Shtatland,
Timur Shtatland		 12
SGF 2009 Group Sequential Analysis Using the New SEQDESIGN and SEQTEST Procedures Yang Yuan source 20
SGF 2009 Reject Inference Techniques Implemented in Credit Scoring for SAS Enterprise Miner Billie Anderson,
Susan Haller,
Naeem Siddiqi		 source 11
SGF 2009 The Problem of Regression Assumptions and the Use of Predictive Modeling Patricia B. Cerrito source 20
PHUSE EU 2008 ETL and Data Quality: Which Comes First? Gregory S. Barnes Nelson,
Emilio J. Power		 source 10
MWSUG 2008 The Difference Between Predictive Modeling and Regression Patricia B. Cerrito 19
PharmaSUG 2008 ETL and Data Quality: Which Comes First? Emilio J. Power,
Gregory S. Barnes Nelson		 10
SGF 2008 A Macro for Getting More out of Your ROC Curve Jennifer Lambert,
Ilya Lipkovich		 source 11
SGF 2008 ETL and Data Quality: Which Comes First? Emilio J. Power,
Gregory S. Barnes Nelson		 source 10
SGF 2008 How to Use SAS to Fit Multiple Logistic Regression Models Anpalaki J. Ragavan source 13
SGF 2008 In Search for a Golden Algorithm Tamara S. Slipchenko,
Candice Bowman,
Catherine Sugar,
Allen L. Gifford		 source 9
NESUG 2007 Low-Order Autoregressive Models in Early Detection of Epidemic Out-breaks and Explosive Behaviors in Economic and Financial Time Series Ernest S. Shtatland 10
NESUG 2007 Summarizing the Power of Your Predictive Model with Receiver Operating Characteristic Curves Mithat Gonen 18
MWSUG 2007 RANDOM and REPEATED statements - How to Use Them to Model the Covariance Structure in Proc Mixed Charlie Liu 11
WUSS 2007 Case Study: Development of an HIV casefinding algorithm with SAS Enterprise Miner Tamara Slipchenko,
Candice Bowman,
Yuexin (Cindy) Chen,
Catherine Sugar,
Allen L. Gifford		 source 9
WUSS 2007 Statistical Inference Illustrated Richard R. Allen source 19
SGF 2007 Text Mining and PROC KDE to Rank Nominal Data Patricia B. Cerrito source 21
SCSUG 2006 Data Mining at the Texas State Auditor's Office Thomas J. Winn Jr. 11
PHUSE EU 2006 (Sample) Size DOES Matter John Salter source 10
NESUG 2006 Receiver Operating Characteristic (ROC) Curves Mithat Gonen 18
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 Receiver Operating Characteristic (ROC) Curves Mithat Gonen source 18
SUGI 2006 Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad Arthur L. Carpenter source 9
WUSS 2005 Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad Arthur L. Carpenter source 9
PharmaSUG 2005 An Approach Finding the Right Tolerance Level for Clinical Data Acceptance Karen Walker 6
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
NESUG 2002 Visual Optimization: Using SAS And Java To Explore High Density Data In Equity Portfolios Haftan M. Eckholdt,
Ezra Benun		 5
PharmaSUG 2002 Simulating Attrition and Visual Models of Type I and Type II Errors Haftan M. Eckholdt 10
NESUG 2001 Lost in Space: Recovering unmeasured dimensions in spatial studies Haftan M. Eckholdt 8
NESUG 2001 Simulating Attrition and Visual Models of Type I and Type II Errors Haftan M. Eckholdt 9
SESUG 2001 Power and Sample Size Determination for Linear Models John M. Castelloe source 13
SCSUG 2001 Power and Sample Size Determination for Linear Models John M. Castelloe,
Ralph G. O'Brien		 13
SEUGI 2001 Implentation of an outlier detection method for hihg throughput screening in drug discovery [presentation] Ronny Schrijvers,
Rudi Verbeeck		 source 23
NESUG 1999 Visual Analysis on the WEB: Animating High Density Multidimensional Data Haftan M. Eckholdt 9
SUGI 1999 Use of Multivariate Techniques to Solve an Urgent, Real-Life Problem in Pharmaceutical Manufacturing Karl Glaser source 3
MWSUG 1998 Producing ROC Curves For Discriminant Analysis Using PROC LOGISTIC Keith Dunnigan 7
SUGI 1998 How to Use SAS Software to Evaluate Screening Tests Using Predictive Values in Conjunction with ROC Curves Richard Severino source 6
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
SCSUG 1997 A Macro to Generate the Sensitivity, Specificity, Positiv Predictive Value, Negative Predictive Value and Their 95% CI's Qingling Zhang 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
SUGI 1997 Constructing ROC Curves with the SAS System Andrew G. Stead,
Karen G. MacDonald		 source 4
SEUGI 1996 Backtesting or backestimating: an overview Gerhard Stahl source 7
SEUGI 1994 A Graphic Approach to the Evaluation of the Performance of Diagnostic Tests Using SAS Software Renza Cristofani source 9
MWSUG 1993 Designing Bank Warning System Based on Logit Model Fitted to Multi-Period Performance Data Sameer Kumar,
Sant R. Arora		 10
SUGI 1993 Statistical Procedures in Automated Cervical Cytology David L. Sherry source 4
SUGI 1992 Using SAS Software to Evaluate the Imaging Performance of Presurgical Diagnostic Tests in the Detection of Cancer Kristin R. Dawson source 7
SUGI 1991 Introduction to Hypothesis Testing Using the Normal Distribution, the t-Test and the SAS System Arthur L. Carpenter source 5
SUGI 1990 Andrews Function Control Chart for Bivariate Quality Control Meng-Koon Chua,
Mark Reiser		 source 5
SUGI 1990 Hypotheses and Sample Size for Showing Equivalence James J. Ashton source 5
SUGI 1983 Practical Methods for Multiple Comparisons in MANOVA Keith E. Muller source 4
SUGI 1982 Computer Graphics in Selection of Screening Strategies John K. Gohagan,
Edward L. Spitznagel		 source 4

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