Joint modeling of longitudinal ordinal data and competing risks survival times and analysis of the NINDS rt-PA stroke trial

Statistics in Medicine

Volumn 29, Issue 5, 2010, Pages 546-557

  Li, Ning ^a   Elashoff, Robert M ^b   Li, Gang ^b   Saver, Jeffrey ^c  

^a UNIVERSITY OF FLORIDA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Competing risks; Joint models; Longitudinal ordinal data; Non ignorable missing

Indexed keywords

ALTEPLASE;

ALGORITHM; ARTICLE; BARTHEL INDEX; CAUSE SPECIFIC HAZARDS MODEL; CEREBROVASCULAR ACCIDENT; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DEATH; DRUG TREATMENT FAILURE; ERROR; GLASGOW COMA SCALE; HUMAN; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MAXIMUM LIKELIHOOD METHOD; MONTE CARLO METHOD; PARTIAL PROPORTIONAL ODDS MODEL; RANDOMIZED CONTROLLED TRIAL; RANKIN SCALE; RISK ASSESSMENT; SIMULATION; STATISTICAL MODEL; SURVIVAL; THERAPY EFFECT;

ALGORITHMS; COMPUTER SIMULATION; HUMANS; LIKELIHOOD FUNCTIONS; LONGITUDINAL STUDIES; MODELS, STATISTICAL; ODDS RATIO; PROPORTIONAL HAZARDS MODELS; RANDOMIZED CONTROLLED TRIALS AS TOPIC; RECOMBINANT PROTEINS; RISK; STROKE; SURVIVAL ANALYSIS; TISSUE PLASMINOGEN ACTIVATOR; UNITED STATES;

EID: 76749116117     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3798     Document Type: Article

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