Comparisons of methods for analysis of repeated binary responses with missing data

Journal of Biopharmaceutical Statistics

Volumn 21, Issue 3, 2011, Pages 371-392

  Frank Liu, G ^a   Zhan, Xiaojiang ^a  

^a MERCK RESEARCH LABORATORIES   (United States)

Author keywords

GEE; Generalized linear mixed model; Missing data; Multiple imputation; Random effects model

Indexed keywords

ARTICLE; BINOMIAL DISTRIBUTION; GENERALIZED ESTIMATING EQUATION METHOD; HUMAN; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; MARGINAL MODEL WITH PSEUDO LIKELIHOOD; MAXIMUM LIKELIHOOD METHOD; PRIORITY JOURNAL; PROBABILITY; QUALITATIVE ANALYSIS; RANDOM EFFECTS MODEL WITH FULL LIKELIHOOD; RANDOM SAMPLE; SIMULATION; STATISTICAL CONCEPTS; STATISTICAL MODEL; STATISTICAL PARAMETERS;

BIAS (EPIDEMIOLOGY); CLINICAL TRIALS AS TOPIC; COMPUTER SIMULATION; DATA COLLECTION; DATA INTERPRETATION, STATISTICAL; FEEDBACK; HUMANS; INTENTION TO TREAT ANALYSIS; LOGISTIC MODELS; MODELS, STATISTICAL; PATIENT DROPOUTS; PROBABILITY; RANDOMIZED CONTROLLED TRIALS AS TOPIC; RESEARCH DESIGN; TREATMENT OUTCOME;

EID: 79953212978     PISSN: 10543406     EISSN: 15205711     Source Type: Journal    
DOI: 10.1080/10543401003687129     Document Type: Article

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