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Titolo: AN APPLICATION OF MAXIMUMLIKELIHOOD AND GENERALIZED ESTIMATING EQUATIONS TO THE ANALYSIS OF ORDINAL DATA FROM A LONGITUDINALSTUDY WITH CASES MISSING AT RANDOM
Autore: KENWARD MG; LESAFFRE E; MOLENBERGHS G;
 Indirizzi:
 ROTHAMSTED EXPTL STN,AFRC,INST ARABLE CROPS RES,DEPT STAT HARPENDEN AL5 2JQ HERTS ENGLAND KATHOLIEKE UNIV LEUVEN,CTR BIOSTAT B3000 LOUVAIN BELGIUM LIMBURGS UNIV CENTRUM B3590 DIEPENBEEK BELGIUM
 Titolo Testata:
 Biometrics
fascicolo: 4,
volume: 50,
anno: 1994,
pagine: 945  953
 SICI:
 0006341X(1994)50:4<945:AAOMAG>2.0.ZU;2C
 Fonte:
 ISI
 Lingua:
 ENG
 Soggetto:
 CATEGORICALDATA; DROPOUTS; MODELS; TRIALS;
 Keywords:
 DALE MODEL; DROPOUTS; MULTICENTER PSYCHIATRIC STUDY; ORDINAL REPEATED MEASUREMENTS; PROPORTIONAL ODDS MODEL; REPEATED ORDINAL DATA;
 Tipo documento:
 Article
 Natura:
 Periodico
 Settore Disciplinare:
 CompuMath Citation Index
 Science Citation Index Expanded
 Citazioni:
 21
 Recensione:
 Indirizzi per estratti:



 Citazione:
 M.G. Kenward et al., "AN APPLICATION OF MAXIMUMLIKELIHOOD AND GENERALIZED ESTIMATING EQUATIONS TO THE ANALYSIS OF ORDINAL DATA FROM A LONGITUDINALSTUDY WITH CASES MISSING AT RANDOM", Biometrics, 50(4), 1994, pp. 945953
Abstract
Data are analysed from a longitudinal psychiatric study in which there are dropouts that do not occur completely at random. A marginal proportional odds model is fitted that relates the response (severity of side effects) to various covariates. Two methods of estimation are used: generalized estimating equations (GEE) and maximum likelihood (ML). Both the complete set of data and the data from only those subjects completing the study are analysed. For the completersonly data, the GEEand ML analyses produce very similar results. These results differ considerably from those obtained from the analyses of the full data set. There are also marked differences between the results obtained from the GEE and ML analyses of the full data set. The occurrence of such differences is consistent with the presence of a noncompletelyrandom dropout process and it can be concluded in this example that both the analyses of the completers only and the GEE analysis of the full data set produce misleading conclusions about the relationships between the response and covariates.
ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 24/09/20 alle ore 05:08:59