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Titolo:
A SAS MACRO FOR RESIDUAL DEVIANCE OF ORDINAL REGRESSION-ANALYSIS
Autore:
WAN JY; WANG W; BROMBERG J;
Indirizzi:
UNIV TENNESSEE,DIV BIOSTAT & EPIDEMIOL,877 MADISON AVE,ROOM 330 MEMPHIS TN 38163 UNIV MICHIGAN ANN ARBOR MI 48109
Titolo Testata:
Computer methods and programs in biomedicine
fascicolo: 4, volume: 45, anno: 1994,
pagine: 307 - 310
SICI:
0169-2607(1994)45:4<307:ASMFRD>2.0.ZU;2-#
Fonte:
ISI
Lingua:
ENG
Keywords:
SAS; RESIDUAL DEVIANCE; ORDINAL REGRESSION; PROPORTIONAL ODDS MODEL;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
CompuMath Citation Index
Science Citation Index Expanded
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
6
Recensione:
Indirizzi per estratti:
Citazione:
J.Y. Wan et al., "A SAS MACRO FOR RESIDUAL DEVIANCE OF ORDINAL REGRESSION-ANALYSIS", Computer methods and programs in biomedicine, 45(4), 1994, pp. 307-310

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 tofit 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 becarried out. The data from an ongoing HIV study is used as an illustration.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 24/09/20 alle ore 05:10:33