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Titolo:
A SAS MACRO FOR STEPWISE CORRELATED BINARY REGRESSION
Autore:
NUAMAH IF; QU YS; AMINI SB;
Indirizzi:
UNIV PENN,CTR CANC,528 BLOCKLEY HALL PHILADELPHIA PA 19104 CASE WESTERN RESERVE UNIV,DEPT BIOSTAT & EPIDEMIOL CLEVELAND OH 44106 CASE WESTERN RESERVE UNIV,DEPT BIOSTAT & EPIDEMIOL CLEVELAND OH 44106
Titolo Testata:
Computer methods and programs in biomedicine
fascicolo: 3, volume: 49, anno: 1996,
pagine: 199 - 210
SICI:
0169-2607(1996)49:3<199:ASMFSC>2.0.ZU;2-2
Fonte:
ISI
Lingua:
ENG
Soggetto:
GENERALIZED ESTIMATING EQUATIONS; LONGITUDINAL DATA-ANALYSIS; MODELS; TESTS;
Keywords:
CORRELATED BINARY DATA; GENERALIZED ESTIMATING EQUATIONS; LONGITUDINAL METHODS; STEPWISE REGRESSION; VARIABLE SELECTION;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
CompuMath Citation Index
Science Citation Index Expanded
Science Citation Index Expanded
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
20
Recensione:
Indirizzi per estratti:
Citazione:
I.F. Nuamah et al., "A SAS MACRO FOR STEPWISE CORRELATED BINARY REGRESSION", Computer methods and programs in biomedicine, 49(3), 1996, pp. 199-210

Abstract

Several regression methods have been proposed for the analysis of correlated binary data, but none deals with the selection of covariates when there exist a large number of potentially relevant covariates. We present a SAS macro based on a stepwise selection procedure for the analysis of correlated binary data. Using regression methods based on generalized estimating equations originally proposed by Liang and Zeger [1] and extended by Prentice [2], we describe a score test for forwardselection, a Wald's test for backward elimination, and a test for model adequacy based on generalized scores, The methodology and the accompanying computer macro program written in SAS IML are illustrated withdata from a prospective study of functional decline in the activitiesof daily living in a group of elderly patients.

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Documento generato il 22/09/20 alle ore 13:29:37