Comparison of Variance Estimations of Logistic Regression Models Produced by SAS, SUDAAN, and WesVarPC Público

Robertson, Sarah Elizabeth (2012)

Permanent URL: https://etd.library.emory.edu/concern/etds/gf06g328x?locale=es
Published

Abstract

For this analysis, logistic regression models were built in SAS, SUDAAN, and
WesVarPC using complex survey data with categorical variables. While the validity of
models is important, this analysis focused more on the differences between the variance
estimations produced by the three statistical software packages for logistic regression
models. This analysis used a dataset collected by the Emory University Preparedness and
Emergency Response Research Center, which provided data on Local Health
Departments and their implementation of Incident Command Systems and Emergency
Operation Centers. Al the packages produced the same β estimates, except in the special
case when there were zero observations in a level of an observed variable. Of the three
packages, SUDAAN consistently produced the smallest standard errors, followed by SAS, and then WesVarPC.

Table of Contents

Table of Contents

Background

Methods

Results

Discussion

Bibliography

Reference

Appendices

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