Joint analysis of bivariate longitudinal ordinal outcomes and competing risks survival times with nonparametric distributions for random effects

Statistics in Medicine

Volumn 31, Issue 16, 2012, Pages 1707-1721

  Li, Ning ^a   Elashoff, Robert M ^b   Li, Gang ^b   Tseng, Chi Hong ^c  

^a CEDARS SINAI MEDICAL CENTER   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Bivariate ordinal data; Competing risks; Joint model; Missing data; Nonparametric distribution

Indexed keywords

CYCLOPHOSPHAMIDE; PLACEBO;

ALGORITHM; ANALYSIS OF COVARIANCE; ANALYTICAL ERROR; ARTICLE; BIVARIATE ANALYSIS; BOOTSTRAPPING; CALCULATION; CLINICAL EVALUATION; COUGHING; DISEASE SEVERITY; DOSE RESPONSE; DRUG DOSE ESCALATION; DRUG EFFICACY; DRUG FATALITY; DRUG TREATMENT FAILURE; DRUG WITHDRAWAL; FORCED VITAL CAPACITY; HUMAN; INTERMETHOD COMPARISON; LOGISTIC REGRESSION ANALYSIS; LUNG DISEASE; LUNG FIBROSIS; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; MONTE CARLO METHOD; OUTCOME ASSESSMENT; PROPORTIONAL HAZARDS MODEL; RISK ASSESSMENT; RISK BENEFIT ANALYSIS; SAMPLE SIZE; SCLERODERMA; STATISTICAL DISTRIBUTION; SURVIVAL TIME;

CYCLOPHOSPHAMIDE; DATA INTERPRETATION, STATISTICAL; HUMANS; IMMUNOSUPPRESSIVE AGENTS; LIKELIHOOD FUNCTIONS; LONGITUDINAL STUDIES; LUNG DISEASES; MODELS, STATISTICAL; RANDOMIZED CONTROLLED TRIALS AS TOPIC; SCLERODERMA, SYSTEMIC; STATISTICS, NONPARAMETRIC; SURVIVAL ANALYSIS; TREATMENT OUTCOME;

EID: 84862853440     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4507     Document Type: Article

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