Statistical Methodology Papers and PresentationsPage 14

An Exact Implicit Enumeration Algorithm for Variable Selection in Multiple Linear Regression Models Using Information Criteria

Dr. Dennis Beal

Source category: Statistics

File inside source ZIP: Stat.zip / ST10.Beal.pdf

The publisher distributes this paper in a category ZIP inside the proceedings ZIP.

Bayesian hypothesis testing for proportions

Antonio Nieto; Javier Gomez

Source category: Statistics & Pharmacokinetics

Author collections: Antonio Nieto · Javier Gómez

Bivariate Count Data Regression Models: A SAS® Macro Program

Nan-Ting Chou; David Steenhard

Source category: Statistics and Data Analysis

Author collections: Nan-Ting Chou · David Steenhard

Estimating Sample Size through Simulations

Wuchen Zhao; Arthur X. Li

Source category: Statistics and Pharmacokinetics

Author collections: Wuchen Zhao · Arthur X. Li

Estimating Sample Size through Simulations

Wuchen Zhao; Arthur Xuejun Li

Source category: Health Outcomes and Healthcare Research Methodologies

Author collections: Wuchen Zhao · Arthur Xuejun Li

Linear Logistic Test Model: Using SAS® to Simulate the Decomposition of Item Difficulty by Algorithm, Sample Size, Cognitive Component and Time to Convergence

George MacDonald; Jeffrey Kromrey

Source category: Statistics

File inside source ZIP: Stat.zip / ST13.MacDonald.pdf

The publisher distributes this paper in a category ZIP inside the proceedings ZIP.

Author collections: Jeffrey Kromrey

Living with Generalized Linear Mixed Models

Walter W. Stroup

Source category: Statistics and Data Analysis

Author collections: Walter W. Stroup

Macros for Two-Sample Hypothesis Tests

Jinson J. Erinjeri

Source category: Coders' Corner

File inside source ZIP: CodersCorner.zip / CC20.Erinjeri.pdf

The publisher distributes this paper in a category ZIP inside the proceedings ZIP.

Author collections: Jinson J. Erinjeri

MCPOWER: a Flexible Macro Suite for Generating Monte Carlo Power Estimates for Linear, Logistic, and Poisson Regression Models

Ken Kleinman

Source category: Statistics and Data Analysis

Author collections: Ken Kleinman

Modeling Percentage Outcomes: The %Beta_Regression Macro

Christopher J. Swearingen; Maria S. Melguizo; Zoran Bursac

Source category: Statistics and Data Analysis

Author collections: Christopher J. Swearingen · Maria S. Melguizo · Zoran Bursac

Principal Component Regression as a Countermeasure against Collinearity

Chong Ho Yu

Source category: Analytics and Statistics

Author collections: Chong Ho Yu

RDPLOT: A SAS® Macro for Generating Regression Discontinuity Plots

Jason A. Schoeneberger

Source category: Coders' Corner

File inside source ZIP: CodersCorner.zip / CC02.Schoeneberger.pdf

The publisher distributes this paper in a category ZIP inside the proceedings ZIP.

Author collections: Jason A. Schoeneberger

Regression Model Development for Credit Card Exposure at Default (EAD) Using SAS/STAT® and SAS® Enterprise Miner® 5.3

Iain L. Brown

Source category: Data Mining and Text Analytics

Regression Testing: The SAS Programmer®s Friend

Phil Busby

Source category: Systems Architecture and Administration

Author collections: Phil Busby

Tailoring Logistic Regression Model Analyses with the ODDSRATIO Statement in PROC LOGISTIC

Taylor Lewis

Source category: Statistics

File inside source ZIP: Stat.zip / ST07.Lewis.pdf

The publisher distributes this paper in a category ZIP inside the proceedings ZIP.

Author collections: Taylor Lewis

Using Proc Logistic, SAS Macros and ODS Output to evaluate the consistency of independent variables during the development of logistic regression models. An example from the retail banking industry

Alexandros Vidras

Source category: Reporting and Statistics

Dancing the Sample-Size Limbo with Mixed Models: How Low Can You Go?

Bethany A. Bell; Grant B. Morgan; Jason A. Schoeneberger; Brandon L. Loudermilk; Jeffrey Kromrey; John Ferron

Source category: Posters

Author collections: Bethany A. Bell · Grant B. Morgan · Jason A. Schoeneberger · Jeffrey Kromrey · John Ferron

Fundamental Diagnostics for Two-Level Mixed Models: The SAS® Macro MIXED_DX

Bethany A. Bell; Jason A. Schoeneberger; Grant B. Morgan; Jeffrey Kromrey; John Ferron

Source category: Posters

Author collections: Bethany A. Bell · Jason A. Schoeneberger · Grant B. Morgan · Jeffrey Kromrey · John Ferron

Ideas and Examples in Generalized Linear Mixed Models

David Dickey

Source category: Statistics and Data Analysis

Author collections: David Dickey

Introduction to Logistic Regression

Bob Derr

Source category: Statistics and Data Analysis

The publisher lists this presentation without a PDF.

Author collections: Bob Derr