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model validation

53 papers and 7 presentations; 51 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 Demystifying Regression Analysis Techniques with R Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao		 35
WUSS 2026 Interactive Modeling with SAS Visual Statistics Danny R. Modlin source 28
PharmaSUG 2026 Regression Analysis Made Easy Using R Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao		 source 32
PHUSE US 2026 C&SP 203X Reinventing Clinical & Statistical programming for the AI - era [presentation] Sangeeta Bhattacharya source 19
MWSUG 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 7
SESUG 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 7
SESUG 2024 Interactive Modeling with SAS Visual Statistics Danny R. Modlin source 28
WUSS 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 6
WUSS 2023 Leveraging Logistic Regression and Bootstrap Sampling to Assess a Decision Threshold in Classification Predictive Analytics Colleen E. McGahan source 15
PHUSE US 2021 Comparative Characteristics of Logistic Regression Implementation in SAS and R in the Example of Cardiovascular Diseases [presentation] Serhii Kashyn source
video		 22
PHUSE EU 2020 Guide to Electronic Submission of Pharmacometric Datasets and Analyses to the Regulatory Authorities [presentation] Pooja Kulkarni source
video		 17
SGF 2020 Model Governance for AI: Rethinking Our Approach to Validating and Using Black Box Models Naeem Siddiqi source 5
PharmaSUG 2020 How to let Machine Learn Clinical Data Review as it can Support Reshaping the Future of Clinical Data Cleaning Process Mirai Kikawa,
Yuichi Nakajima		 source 9
SGF 2019 Developing a Credit Risk Model Using SAS Amos Odeleye source 16
SGF 2019 Machine Learning for Effective Surveillance with SAS Adaptive Learning and Intelligent Agent System Rory MacKenzie source 14
SGF 2019 Using SAS to Validate Prediction Models Xiaoting Wu,
Chang He,
Donald S. Likosky		 source 9
SCSUG 2018 Machine Learning in Litigation Prediction - Workers' Compensation Litigation Propensity Predictive Model Mei Najim source 17
MWSUG 2018 Using SAS to Validate Clinical Prediction Models Xiaoting Wu,
Chang He,
Donald S. Likosky		 8
SGF 2018 Claim Analytics: A Litigation Prediction Case Study Mei Najim source 18
SGF 2018 How Good is That Forecast? The Nuances of Prediction Evaluation Across Time Aric LaBarr source 7
SGF 2018 Managing the Expense of Hyperparameter Autotuning Patrick Koch source 20
MWSUG 2017 Claim Analytics Mei Najim 18
WUSS 2017 Integrating Health Data Sources to Identify, Stratify, and Predict High Utilizers of Public Systems Benjamin Knisley,
Joshua Morgan,
Linn Carothers,
Keith Haigh		 source 15
SGF 2017 Predictive Accuracy: A Misleading Performance Measure for Highly Imbalanced Data Josephine Akosa source 12
SGF 2017 Property and Casualty Insurance Predictive Analytics in SAS Mei Najim source 17
MWSUG 2016 Property and Casualty Insurance Predictive Analytics in SAS Mei Najim 17
SGF 2016 A Property and Casualty Insurance Predictive Modeling Process in SAS Mei Najim source 14
SGF 2016 Best Practices for Effective Model Risk Management Satish Garla,
Sukhbir Dhillon		 source 15
MWSUG 2015 A Property & Casualty Insurance Predictive Modeling Process in SAS Mei Najim 14
SESUG 2015 Integrating PROC REG and PROC LOGISTIC for Collinearity Examination, Sample Scoring and Model Evaluation Alec Zhixiao Lin source 11
SGF 2015 Addressing AML Regulatory Pressures by Creating Customer Risk Rating Models with Ordinal Logistic Regression Edwin Rivera,
Jim West		 source 12
SGF 2015 Stress Testing for Mid-Sized Banks Charyn Faenza source 11
SESUG 2014 DFAST & CCAR: One size does not fit all Charyn Faenza source 9
SESUG 2013 Binning Bombs When You're Not a Bomb Maker: A Code-Free Methodology to Standardize, Categorize, and Denormalize Categorical Data Binning Bombs source 26
PHUSE EU 2013 SAS Predictive and Visual Analytics: Software Demonstration [presentation] Andy Bayliss source 9
WUSS 2012 The Steps to Follow in a Multiple Regression Analysis Theresa H. Ngo source 12
SGF 2012 Its About Time: Discrete Time Survival Analysis using SAS Enterprise Miner Sascha Schubert,
Susan Haller,
Taiyeong Lee		 source 15
SGF 2012 The Steps to Follow in a Multiple Regression Analysis Theresa H. Ngo source 12
SGF 2011 Bivariate Count Data Regression Models: A SAS Macro Program Nan-Ting Chou,
David Steenhard		 source 10
SGF 2010 Closing the Gap between Credit Access and Risk Management Clark R. Abrahams source 15
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
SGF 2009 A Comprehensive Credit Assessment Framework: Overview and Implications for the Subprime Crisis Clark R. Abrahams,
Sunny Zhang		 source 14
SGF 2009 Fitting Cox Model Using PROC PHREG and Beyond in SAS Lea Liu,
Sandy A. Forman,
Bruce A. Barton		 source 10
PharmaSUG 2008 SAS, CDISC and Clinical Data Integration Peter Villiers 27
MWSUG 2007 Best Practices for Managing Predictive Models in a Production Environment Robert Chu 10
WUSS 2007 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell source 18
PNWSUG 2007 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell 18
SGF 2007 Best Practices for Managing Predictive Models in a Production Environment Robert Duling,
David M. Thompson,
Wayne Chu		 source 10
SGF 2007 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell source 18
SESUG 2004 Binary Logistic Regression Model Optimization Jerry Musial source 6
SEUGI 2003 Customer Insight development in Vodafone Italy [presentation] Emanuele Baruffa source 23
SEUGI 2002 An Introduction to SAS IT Management Solutions [presentation] Richard Seery source 20
SEUGI 2000 Data Mining Systems in the company: a global perspective [presentation] Guillermo Encina source 23
PNWSUG 1998 Parameter Evaluation and Statistical Validation of Transport Parameters in Porous Media Mahesh A. Rege,
David R. Mills,
James N. Peterson,
Yunwei Sun,
David R. Yonge,
Donald L. Johnstone,
William A. Apel		 9
SUGI 1993 Forecasting Methods Mark Little source 13
SEUGI 1992 A SAS/AF Application for Data Samples Analysis Gianni Grippa source 11
SUGI 1986 Loading Health Benefits Into a New Claims Processing System Diane E. Brown source 6
SEUGI 1985 Test Procedures for Model Selection and Model Validation Wil Velding source 23
SEUGI 1983 Capacity Planning using Capture/MVS, Best/1 and SAS Robert Ashton 4

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