A multistate Markov chain model for longitudinal, categorical quality-of-life data subject to non-ignorable missingness

Statistics in Medicine

Volumn 24, Issue 15, 2005, Pages 2317-2334

  Cole, Bernard F ^a   Bonetti, Marco ^b,c   Zaslavsky, Alan M ^d   Gelber, Richard D ^e  

^a DARTMOUTH MEDICAL SCHOOL   (United States)

^b BOCCONI UNIVERSITY   (Italy)

^c HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^d HARVARD MEDICAL SCHOOL   (United States)

^e DANA FARBER CANCER INSTITUTE   (United States)

Author keywords

Generalized logit model; Incomplete data; Informative missing data; Logistic regression; Proportional odds model; Repeated mesurements

Indexed keywords

CYCLOPHOSPHAMIDE; FLUOROURACIL; METHOTREXATE; TAMOXIFEN;

ARTICLE; BREAST CANCER; CLINICAL TRIAL; COVARIANCE; FOLLOW UP; HUMAN; LOGISTIC REGRESSION ANALYSIS; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; OUTCOMES RESEARCH; PARSIMONY ANALYSIS; PROBABILITY; QUALITY OF LIFE; QUESTIONNAIRE; SIDE EFFECT; STATISTICAL MODEL;

ANTINEOPLASTIC AGENTS; BREAST NEOPLASMS; COMPUTER SIMULATION; FEMALE; HUMANS; LIKELIHOOD FUNCTIONS; LONGITUDINAL STUDIES; MARKOV CHAINS; MIDDLE AGED; MODELS, PSYCHOLOGICAL; MODELS, STATISTICAL; QUALITY OF LIFE;

EID: 23244457378     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.2122     Document Type: Article

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