Advances and Applications in Statistics
Volume 14, Issue 1, Pages 57 - 64
(January 2010)
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A SAS PACKAGE FOR EVALUATING LOGISTIC AND PROPORTIONAL ODDS MODEL FIT
Xian-Jin Xie and Aihua Bian
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Abstract: Evaluation of model fit is an important step in any statistical modeling. When continuous covariates are present, classical Pearson and deviance goodness-of-fit tests to assess logistic or proportional odds model fit break down. We present in this paper an easy-to-implement SAS macro for testing goodness-of-fit for logistic or proportional odds model, when continuous covariates are present. Computational methods and program description are provided. Application of the macro is shown in a real clinical trial model testing. The macro presented can be readily called for immediate use and has been structured for easy modification. |
Keywords and phrases: goodness-of-fit, logistic model, proportional odds model, SAS macro. |
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