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dc.contributor.authorDhand, Navneet K.
dc.date.accessioned2016-04-04
dc.date.available2016-04-04
dc.date.issued2010-01-01
dc.identifier.citationDhand, N. K. (2010). UniLogistic: A SAS Macro for Descriptive and Univariable Logistic Regression Analyses. [Code Snippet]. Journal of Statistical Software, 35(1), 1-15.en
dc.identifier.urihttp://hdl.handle.net/2123/14639
dc.description.abstractDescriptive 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. Keywords: binomial, ordinal, multinomial, cumulative logit, generalized logit, graphical summaries, summary statistics, SASen
dc.language.isoenen
dc.publisherUniversity of Californiaen
dc.rightsOtheren
dc.subjectbinomialen
dc.subjectordinalen
dc.subjectmultinomiaen
dc.subjectcumulative logiten
dc.subjectgeneralized logiten
dc.subjectgraphical summariesen
dc.subjectsummary statisticsen
dc.subjectSASen
dc.titleUniLogistic: A SAS Macro for Descriptive and Univariable Logistic Regression Analyses. [Code Snippet].en
dc.typeArticleen
dc.type.pubtypePublisher's versionen
usyd.facultyFaculty of Science, School of Life and Environmental Sciencesen


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