Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
UniLogistic: A SAS Macro for Descriptive and Univariable Logistic Regression Analyses | Dhand | Journal of Statistical Software
Authors: Navneet K. Dhand
Title: UniLogistic: A SAS Macro for Descriptive and Univariable Logistic Regression Analyses
Abstract: Descriptive and univariable logistic regression analyses are essential before constructing multivariable models, but are very time consuming, particularly if a large number of explanatory variables are to be evaluated. A macro UniLogistic is described in this paper that conducts descriptive and univariable logistic regression analyses (binomial, ordinal or nominal, as required) in SAS and presents results in formatted tables in Excel and graphics in PDF files. Implementation of the macro is illustrated in this paper using example datasets from statistics and epidemiology textbooks.

Page views:: 5822. Submitted: 2010-02-06. Published: 2010-07-16.
Paper: UniLogistic: A SAS Macro for Descriptive and Univariable Logistic Regression Analyses     Download PDF (Downloads: 6474)
Supplements:
UniLogistic.sas: SAS source code Download (Downloads: 1285; 39KB)
v35c01-binomial.zip: Supplementary files for binomial logistic regression example Download (Downloads: 1183; 28KB)
v35c01-multinomial.zip: Supplementary files for multinomial logistic regression example Download (Downloads: 1151; 10KB)
v35c01-ordinal.zip: Supplementary files for ordinal logistic regression example Download (Downloads: 1197; 28KB)

DOI: 10.18637/jss.v035.c01

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.