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roc curve

125 papers and 2 presentations; 120 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG 2026 Machine Learning Models for Predicting Diabetes Using the PIMA Indians Dataset Leon Rod Davoody source 11
PHUSE APAC 2026 From Data to Digital Phenotypes: Modelling High-Dimensional PROs and Actigraphy Data in Decentralized Psychiatric Trials Sakshi Kaushik source
presentation source		 14
MWSUG 2025 How to Modify SAS 9 Programs to Run in SAS Viya Danny R. Modlin source 40
PHUSE US 2024 Applying Machine Learning for Predicting Potential Adverse Events from Real-World Data Samiul Haque source
presentation source		 6
WUSS 2023 Introduction to Machine Learning - Descriptions and Best Practices Jim Box source 13
WUSS 2023 Leveraging Logistic Regression and Bootstrap Sampling to Assess a Decision Threshold in Classification Predictive Analytics Colleen E. McGahan source 15
PharmaSUG 2023 What is Machine Learning, anyway? Jim Box source 11
PHUSE EU 2021 Evaluating the Predictive Accuracy of Survival Models with PROC PHREG Lotte Jacobs,
Roxane Debrus		 source
video
presentation source		 7
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 Use SAS Enterprise Miner Workstation 15.1 to Do Predictive Analysis for Mobile Strategy Games Industry Chun Du source 11
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 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 Prediction of Parkinson's Disease With a Regression Model Using Vertical Ground Reaction Force Data Jin Ge,
Tianchen Xu,
Jia Guo,
Mengyu Zhang		 source
presentation		 7
SGF 2021 Reliability of Individual Predictions Estimation for Claim Risk-Scoring Models Yuriy Chechulin,
Jina Qu,
Hudson Mahboubi,
Terrance D'souza		 source 9
SESUG 2020 Model Comparison of Machine Learning Techniques to detect signs of Penetrating Abdominal and Pelvic Injuries using Base JMP and R Integration Melvin T. Alexander source 25
SGF 2020 How to Build a Text Analytics Model in SAS Viya with Python Nate Gilmore source 13
PHUSE US 2020 Interactive Real-world Data Analysis Using Machine Learning Algorithms James J. Kim source
poster source		 5
SESUG 2019 Validating a Probability of Default model using SASEnterprise Miner Scorecard George Rezek source 27
SCSUG 2019 Uplift Modeling in Retail Marketing using SAS Aashish Arjan Bugalia,
Agastya Komarraju,
Miriam McGaugh		 source 15
SGF 2019 Factors Influencing Academic Performance Onkar Mayekar,
Miriam McGaugh		 source 9
SGF 2019 Machine Learning and Predictive Analytics in SAS Enterprise Miner and SAS/STAT Software David Richard Cutler source 21
SGF 2019 Using SAS to Validate Prediction Models Xiaoting Wu,
Chang He,
Donald S. Likosky		 source 9
PharmaSUG 2018 Generating Receiver Operating Characteristic (ROC) curve using SAS Macros Jiaying Guo,
Isabella Wang		 source 8
SGF 2018 Evaluating the Accuracy of Clinical Prediction Models for Binary and Survival Outcomes Joseph C. Gardiner source 21
SGF 2018 Getting to Know the No-Show: Predictive Modeling of Missing a Medical Appointment Joe Lorenz source 10
SGF 2018 Insights into Using the GLIMMIX Procedure to Model Categorical Outcomes with Random Effects Kathleen Kiernan source 23
SGF 2018 Mitigating the Effects of Class Imbalance Using SMOTE and Tomek Link Undersampling in SAS Kyle Biron source 20
SESUG 2017 Finding the Gold in Your Data: An Overview of Data Mining David A. Dickey source 25
MWSUG 2017 Using SAS to Compare Two Estimation Methods on the Same Outcome: Example from First Trimester Pregnancy Weights Brandy R. Sinco,
Edith Kieffer,
Kathleen Welch,
Diana Welmerink Bolton		 15
SGF 2017 A Moment-Matching Approach for Generating Synthetic Data in SAS Brittany Bogle,
Jared Erickson		 source 17
SGF 2017 An Investigation into Big Data Analytics Applied to Insurance Rebecca Peters,
Penny Holborn		 source 18
SGF 2017 Evaluating Predictive Accuracy of Survival Models with PROC PHREG Changbin Guo,
Ying C. So,
Woosung Jang		 source 16
SGF 2017 Examining Higher Education Performance Metrics with SAS Enterprise Miner and SAS Visual Analytics Taylor Blaetz,
Tuesdi Helbig,
Gina Huff,
Matt T. Bogard		 source 15
SGF 2017 Predictive Accuracy: A Misleading Performance Measure for Highly Imbalanced Data Josephine Akosa source 12
SGF 2017 Predictive Models: Storing, Scoring, and Evaluating Matthew Duchnowski source 10
SGF 2017 The Three Amigos Factors: Determining Term Deposit Purchases: How a Bank Can Get Other People's Money Gina Colaianni,
Bogdan Gadidov,
Matthew Mitchell		 source 59
SGF 2017 Using Text Analysis to Improve the Quality of Scoring Models with SAS Enterprise Miner Piotr Małaszek source 11
SCSUG 2016 Analysis of degradation patterns in the clinical efficacies of anti-microbial drug usage Shweta Arya,
Bhuvaneswari Yallabandi		 source 12
SESUG 2016 Factors of Multiple Fatalities in Car Crashes Bill Bentley,
Gina Colaianni,
Kennedy Onzere,
Cheryl Joneckis,
Xuelei (Sherry) Ni		 source 62
MWSUG 2016 An Animated Guide: Insights into the Logic of the ROC Curve Russell M. Lavery 8
WUSS 2016 An Animated Guide: Incremental Response Modeling in Enterprise Miner Russell M. Lavery source 19
WUSS 2016 An Animated Guide: Insights into the Logic of the ROC Curve Russell M. Lavery source 8
PharmaSUG 2016 ROC Curve: Making way for correct diagnosis Manoj Pandey,
Abhinav Jain		 source 12
SGF 2016 Factors of Multiple Fatalities in Car Crashes Bill Bentley,
Gina Colaianni,
Cheryl Joneckis,
Sherry Ni,
Kennedy Onzere		 source 60
SGF 2015 A Case Study: Improve Classification of Rare Events with SAS Enterprise Miner Ruizhe Wang,
Novik Lee,
Yun Wei		 source
zip		 12
SGF 2015 Data Sampling Improvement by Developing the SMOTE Technique in SAS Lina Maria Guzman Cartagena source 9
SGF 2015 Understanding Characteristics of Insider Threats by Using Feature Extraction Ila Gokarn,
Clifton Phua		 source 14
SGF 2015 Using SAS Enterprise Miner to Predict Breast Cancer at an Early Stage Gibson Ikoro,
Beatriz de la Iglesia		 source 9
PHUSE EU 2014 Biomarker as Essential Part of Clinical Development Renuka Chinthapally source
presentation source		 7
SGF 2014 Building Gamer Segmentation in the Credit Card Industry Using SAS Enterprise Guide Yang Ge source 10
SGF 2014 Examples of Logistic Modeling with the SURVEYLOGISTIC Procedure Rob Agnelli source 17
SGF 2014 Internet Gambling Behavioral Markers: Using the Power of SAS Enterprise Miner 12.1 to Predict High-Risk Internet Gamblers Sai Vijay Kishore Movva,
Vandana Reddy,
Goutam Chakraborty		 source 11
SGF 2014 Medical Scoring for Breast Cancer Recurrence Nurul Husna Jamian,
Yap Bee Wah,
Nor Aina Emran		 source 13
SGF 2014 Prediction of the Rise in Sea Level by the Memory-Based Reasoning Model Using SAS Enterprise Miner 12.1 [presentation] Prasanna K S Sailaja Bhamidi,
Goutam Chakraborty		 source 4
SGF 2014 Using SAS/STAT Software to Validate a Health Literacy Prediction Model in a Primary Care Setting Lucy D'Agostino McGowan,
Melody S. Goodman,
Kimberly A. Kaphingst		 source 7
SESUG 2013 Area under a Receiving Operating Characteristic (ROC) Curve: comparing parametric estimation, Monte Carlo simulation and numerical integration Receiver Operating Characteristic source 16
SESUG 2013 Finding the Gold in Your Data: An Overview of Data Mining David A. Dickey source 16
PHUSE EU 2013 Overview of Receiver Operating Characteristic (ROC) Curves in SAS PROC LOGISTIC Paul Constantin source
presentation source		 1
MWSUG 2013 Finding the Gold in Your Data: An Overview of Data Mining David A. Dickey 16
SGF 2013 A Data-Driven Analytic Strategy for Increasing Yield and Retention at Western Kentucky University Using SAS Enterprise BI and SAS Enterprise Miner Matt T. Bogard source 12
SGF 2013 Finding the Gold in Your Data: An Overview of Data Mining David A. Dickey source 16
SGF 2013 Predictive Modeling in Sports Leagues: An Application in the Indian Premier League Goutam Chakraborty,
Pankush Kalgotra,
Ramesh Sharda		 source 10
SGF 2013 Targeting Public Value in New Zealand Michael O'Neil source 4
NESUG 2012 An Animated Guide: Regression Trees in JMP and Enterprise Miner Russell M. Lavery 32
PHUSE EU 2012 The Logic and Logistics of Logistic Regression, Including New Features in SAS 9.2 Lawrence Rasouliyan source
presentation source		 16
MWSUG 2012 ROC Analysis for the Evaluation of Ethyl Glucuronide (EtG) as a Long-term Alcohol Biomarker in Hair and Fingernails: Evidence from a Large College Drinking Study Daniel Fuhrmann,
Michael Fendrich,
Lisa Berger,
Charles Plate,
Doug Lewis,
Joseph Jones		 10
SGF 2012 An Experimental Comparison of Classification Techniques for Imbalanced Credit Scoring Data Sets Using SAS Enterprise Miner Iain L. Brown source 14
SGF 2012 Customizing ODS Graphical Output for SAS/STAT Procedures Yang Xiao,
Xiangxiang Meng		 source 9
SGF 2012 Effect Modification, Confounding,Hazard Ratio, Distribution Analysis, and Probability of Non-normal Data for Head Neck Cancer Manojkumar B Agravat source 40
SESUG 2011 JMP Analytics Applied in Diagnostic Radiology and Neurosurgery Trauma Research Melvin T. Alexander source 18
SGF 2011 Compare the Effectiveness of Different Methodologies in Prediction of Dichotomous Outcome Jimmy Fang source 8
SGF 2011 Data Mining in SAS with Open-Source Software Zhengping Ma source 11
SGF 2011 Genetic Algorithm Optimization for Selecting the Best Architecture of a Multi-Layer Perceptron Neural Network: A Credit Scoring Case Alejandro Correa,
Andres F. Gonzalez,
Camilo Ladino		 source 8
NESUG 2010 Sensitivity, Specificity, Accuracy, Associated Confidence Interval And ROC Analysis With Practical SAS Implementations Ning Wang,
Nancy N. Zeng,
Wen Zhu		 9
WUSS 2010 Data Visualization: "Every Picture Tells a Story" or "Putting Atomic Numbers on Your Socks"? AnnMaria De Mars source 11
MWSUG 2010 Plotting Summary ROC Curves from Multiple Raters Using the SmryROCPlot Macro Matthew T. Karafa,
Nancy Obuchowski		 10
SGF 2010 Customizing ODS Statistical Graphs Step-by-Step Dongsheng Yang source 8
SGF 2010 ROC Hard? No, ROC Made Easy! Kriss Harris source 12
SESUG 2009 A Logistic Regression Model to Predict Freshmen Enrollments Vijayalakshmi Sampath,
Andrew Flagel		 source 12
SESUG 2009 A New Effect Modification P Value Test Demonstrated Manojkumar B Agravat source 14
MWSUG 2009 Predictive Modeling in Enterprise Miner Versus Regression Patricia B. Cerrito 27
MWSUG 2009 Using graph template language to customize ODS statistical graphs Dongsheng Yang,
Anne S. Tang		 8
PharmaSUG 2009 Illustrative Logistic Regression Examples using PROC LOGISTIC: New Features in SAS/STAT 9.2 Robert G. Downer,
Patrick J. Richardson		 11
PharmaSUG 2009 ROC analysis for the evaluation of continuous biomarkers: Existing tools and new features in SAS 9.2 Sanghyuk Shin 15
SGF 2009 Fitting Cox Model Using PROC PHREG and Beyond in SAS Lea Liu,
Sandy A. Forman,
Bruce A. Barton		 source 10
SGF 2009 Generalizations of Generalized Additive Model (GAM): A Case of Credit Risk Modeling Wensui Liu,
Jimmy Cela,
Chuck Vu		 source 14
SESUG 2008 Reject Inference Methodologies in Credit Risk Modeling Derek Montrichard source 10
MWSUG 2008 A Comparison between Correlated ROC Curves Using SAS and DBM MRMC: A Case Study in Image Comparison Dachao Liu 10
MWSUG 2008 The Difference Between Predictive Modeling and Regression Patricia B. Cerrito 19
PharmaSUG 2008 The Logic and Logistics of Logistic Regression Lawrence Rasouliyan,
Dave P. Miller		 14
SGF 2008 A Macro for Getting More out of Your ROC Curve Jennifer Lambert,
Ilya Lipkovich		 source 11
SGF 2008 How to Use SAS to Fit Multiple Logistic Regression Models Anpalaki J. Ragavan source 13
NESUG 2007 Summarizing the Power of Your Predictive Model with Receiver Operating Characteristic Curves Mithat Gonen 18
PharmaSUG 2007 SAS Markov Chain Monte Carlo (MCMC) Simulation in Practice Shi-Tao Yeh,
Scott D Patterson		 20
PharmaSUG 2007 The ROC Curve Method for the Assessment of Diagnostic Accuracy William F. McCarthy 12
SGF 2007 Improving Credit Scoring by Generalized Additive Model Wensui Cela,
Jimmy Liu		 source 9
SGF 2007 Predicting Software Maintenance Outcomes Using Data Mining and Text Mining Uzma Raja source 9
WUSS 2006 The Logic and Logistics of Logistic Regression Lawrence Rasouliyan,
Dave P. Miller		 source 14
NESUG 2006 Receiver Operating Characteristic (ROC) Curves Mithat Gonen 18
NESUG 2006 Using the time dependent ROC curve to build better survival model in SAS Li Lu,
Chenwei Liu		 6
SUGI 2006 Comparison of Data Preparation Methods for Use in Model Development with SAS Enterprise Miner Charles Manahan source 10
SUGI 2006 Receiver Operating Characteristic (ROC) Curves Mithat Gonen source 18
SUGI 2005 IRT-FIT: SAS Macros for Fitting Item Response Theory (IRT) Models Robert Terry,
Sung-Hyuck Lee		 source 9
SUGI 2005 Statistical Methods in Diagnostic Medicine Using SAS Software Jayawant N. Mandrekar,
Sumithra J. Mandrekar		 source 8
VIEWS 2003 Customer churn - An operational comparison of logistic regression, decision tree & neural network models. Arun Parekkat 4
PharmaSUG 2003 Using SAS Software and Visual Basic for Applications to Produce Microsoft Graph Charts Lori S. Parsons 10
SUGI 2003 SAS Macros and Tools for Working with Weighted Logistic Regression Models That Use Survey Data David Izrael,
Annabella A. Battaglia,
David C. Hoaglin,
Michael P. Battaglia		 source 10
SUGI 2003 Using SAS Software and Visual Basic for Applications to Produce Microsoft Graph Charts Lori S. Parsons source 10
NESUG 2002 An Explicit Functional Form Specification Approach to Estimate the Area under a Receiver Operating Characteristic (ROC) Curve Paul Stober,
Shi-Tao Yeh		 5
SUGI 2002 An Explicit Functional Form Specification Approach to Estimate the Area under a Receiver Operating Characteristic (ROC) Curve Paul W. Stober,
Shi-Tao Yeh		 source 6
SUGI 2002 Use of the ROC Curve and the Bootstrap in Comparing Weighted Logistic Regression Models David Izrael,
Annabella Battaglia,
David C. Hoaglin,
Michael P. Battaglia		 source 6
NESUG 2001 Determination and Interpretation of the OOP for ROC's with PROC LOGISTIC Robert J. Gallop 6
SUGI 1999 How to Display Correlated ROC Curves with the SAS System Barbara G. Schneider source 5
MWSUG 1998 An Introduction to Binary Logistic Regression Linda M. Quinn 8
MWSUG 1998 If There Is A Will, There Is A Way: Getting Around Defaults of PROC LOGISTIC Chao-Ying Joanne Peng,
Tak-Shing Harry So		 10
MWSUG 1998 Producing ROC Curves For Discriminant Analysis Using PROC LOGISTIC Keith Dunnigan 7
SEUGI 1998 Displaying and comparing correlated ROC curves with the SAS software Barbara G. Schneider source 8
SUGI 1998 How to Use SAS Software to Evaluate Screening Tests Using Predictive Values in Conjunction with ROC Curves Richard Severino source 6
WUSS 1997 How to Use the SAS Software to Evaluate Screening Tests Using Predictive Values in Conjunction with ROC Curves Richard Severino source 7
SUGI 1997 Constructing ROC Curves with the SAS System Andrew G. Stead,
Karen G. MacDonald		 source 4
NESUG 1996 Between a ROC Curve and a Hard Place Joseph Kufera,
Kimberly A. Mitchell		 10
MWSUG 1995 An Introduction to Binary Logistic Regression Linda M. Quinn 8
SUGI 1995 A SAS Macro for Estimating Power for ROC Curves: One-Sample and Two-Sample Cases Richard Zepp source 3
SUGI 1995 Writing Programs for JMP Software Alvin M. Best III source 6
SEUGI 1994 A Graphic Approach to the Evaluation of the Performance of Diagnostic Tests Using SAS Software Renza Cristofani source 9
NESUG 1992 Principles of Logistic Regression in Radiation Oncology J. Efird,
F. Pardo,
P. Okunieff,
D. Shoenfeld,
H. Aronen		 10
SUGI 1984 Graphic Representation of Logistic Regression Models John K. Gohagan,
Donald G. Sessions,
Edward L. Spitznagel		 source 4

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