title: A SAS macro for residual deviance of ordinal regression analysis.
abstract: In this paper, a SAS macro is described for calculating the likelihood of the 'saturated' model in the analysis of ordinal regression. The outcome variable is multinomial on an ordinal scale, while the explanatory variables can be nominal or ordinal. Several ordinal regression models may be fitted to the data. One method of testing for the goodness of fit of these regression models is by comparing the residual deviance with the chi 2 distribution. In SAS, PROC LOGISTIC may be used to fit this type of data with proportional odds model. Unfortunately, the residual deviance is not available from the output. Our SAS macro will supplement the SAS output so that the residual deviance test may be carried out. The data from an ongoing HIV study is used as an illustration.
authors.affiliation: Division of Biostatistics and Epidemiology, University of Tennessee, Memphis 38163, USA.
authors.forename: J Y
authors.initials: JY
authors.lastname: Wan
authors.forename: W
authors.initials: W
authors.lastname: Wang
authors.forename: J
authors.initials: J
authors.lastname: Bromberg
mesh_terms: D015982:Bias; D003627:Data Interpretation, Statistical; D005069:Evaluation Studies as Topic; D016016:Proportional Hazards Models; D015203:Reproducibility of Results; D012986:Software Validation