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UniLogistic: A SAS Macro for Descriptive and Univariable Logistic Regression Analyses

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  • Dhand, Navneet K.

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.

Suggested Citation

  • Dhand, Navneet K., 2010. "UniLogistic: A SAS Macro for Descriptive and Univariable Logistic Regression Analyses," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 35(c01).
    • Handle: RePEc:jss:jstsof:v:035:c01
    DOI: http://hdl.handle.net/10.18637/jss.v035.c01
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    Cited by:

    1. Emily Sellens & Jacqueline M Norris & Navneet K Dhand & Jane Heller & Lynne Hayes & Heather F Gidding & Harold Willaby & Nicholas Wood & Katrina L Bosward, 2018. "Willingness of veterinarians in Australia to recommend Q fever vaccination in veterinary personnel: Implications for workplace health and safety compliance," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-15, June.
    2. Jacques Muthusi & Samuel Mwalili & Peter Young, 2019. "%svy_logistic_regression: A generic SAS macro for simple and multiple logistic regression and creating quality publication-ready tables using survey or non-survey data," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-14, September.

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