Statistical Methodology Papers and PresentationsPage 16

How to Use SAS® to Fit Multiple Logistic Regression Models

Anpalaki J. Ragavan

Source category: Statistics and Data Analysis

Author collections: Anpalaki J. Ragavan

Introduction to Correlation and Regression Analysis

Ian Stockwell

Source category: Statistics and Data Analysis

Lithium Battery Analysis: Probability of Failure Assessment Using Logistic Regression

Travis A. Moebes

Source category: Data Mining and Predictive Modeling

Updates to SAS® Power and Sample Size Software in SAS® 9.2

Wayne E. Watson

Source category: Statistics and Data Analysis

Author collections: Wayne E. Watson

User-friendly SAS Macro Application for performing all possible mixed model selection – An update

George C. J. Fernandez

Source category: Analytics and Statistics

Author collections: George C. J. Fernandez

Using Regression Diagnostics and Clustering Criteria to Uncover ID Errors

David Pasta; Eric P. Elkin; Rory Michaelis

Source category: Statistics and Data Analysis

Author collections: David Pasta · Eric P. Elkin · Rory Michaelis

A Purposeful Selection of Variables Macro for Logistic Regression

Bursac, Zoran Gauss, C. Heath Williams, David K. Hosmer, David W.

Source category: Conference paper

Automating Regression Analysis and PDF Report Output with the Use of Macros: Tricks for Disabling Default Delimiters and Making Use of Counters

Svetlana Smorodinsky; Bob McLaughlin

Source category: Coders’ Corner

Bayesian Modelling with SPLUS and the S+flex Bayes library

Andrew Jack; Dawn Woodard

Source category: Statistics and Pharmacokinetics

GLMM_SIM: A SAS® Macro for Evaluating the Statistical Integrity of General Linear Mixed Models

Coraggio, James T. Hess, Melinda R. Hines, Constance Kromrey, Jeffrey D. Lee, Reginald S. Luther, Stephen L.

Source category: Conference paper

Hypothesis Testing: An SQL Analogy

Leroy Bracken; Paul D. Sherman

Source category: Analytics and Statistics

Author collections: Paul D. Sherman

Marginal Interpretation of Subject-Specific Curves: Logistic-Normal Regression

Torres, Pedro A. Macchiavelli , Raul

Source category: Conference paper

OLS Regression? Auto-Regression? Dynamic Regression?

Rodger Zhang

Source category: Conference paper

Author collections: Rodger Zhang

Regression Splines with Longitudinal DATA

Jo, Chan-Hee Gossett, Jeff M. Simpson, Pippa M.

Source category: Conference paper

Skewness, Multicollinearity, Heteroskedasticity - You Name It, Cost Data Have It! Solutions to Violations of Assumptions of the Ordinary Least Squares Regression Model Using SAS®

Leonor L. Ayyangar

Source category: Conference paper

Author collections: Leonor L. Ayyangar

Using Regression Diagnostics and Clustering Criteria to Uncover ID Errors

David J. Pasta; Eric P. Elkin; Rory Michaelis

Source category: Analytics and Statistics

Author collections: David J. Pasta · Eric P. Elkin · Rory Michaelis

Using SAS® PROC NLMIXED for Robust Regression

Gilbert, Steven A. Chen, Lingyun

Source category: Conference paper

Using SAS® to Determine Sample Sizes for Traditional Two-Stage and Adaptive Two-Stage Phase II Cancer Clinical Trial Designs

Chung, St. Clare Groulx, Adrienne Moon, Kyung-hee (Kelly)

Source category: Conference paper

Variable Screening for Multinomial Logistic Regression on Very Large Data Sets as Applied to Direct Response Modeling

John A. Cherrie

Source category: Conference paper

An Evaluation of Splines in Linear Regression

Deborah M. Hurley; James Hussey; Robert McKeown; Cheryl L. Addy

Source category: Conference paper

Author collections: James Hussey