Longitudinal quantile regression in the presence of informative dropout through longitudinal–survival joint modeling

Statistics in Medicine

Volumn 34, Issue 7, 2015, Pages 1199-1213

  Farcomeni, Alessio ^a   Viviani, Sara ^b  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS   (Italy)

Author keywords

joint models; longitudinal regression; quantile regression; shared parameter models

Indexed keywords

ALGORITHM; ARTICLE; BOOTSTRAPPING; CONGESTIVE CARDIOMYOPATHY; FOLLOW UP; HAZARD RATIO; HEART LEFT VENTRICLE EJECTION FRACTION; HUMAN; KAPLAN MEIER METHOD; MAJOR CLINICAL STUDY; MONTE CARLO METHOD; NONPARAMETRIC TEST; OUTCOME ASSESSMENT; PARAMETRIC TEST; PATIENT DROPOUT; PROPORTIONAL HAZARDS MODEL; QUANTILE REGRESSION; RANDOMIZATION; RISK ASSESSMENT; SAMPLE SIZE; SAMPLING ERROR; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL BIAS; STATISTICAL MODEL; BIOSTATISTICS; COHORT ANALYSIS; COMPUTER SIMULATION; HEALTH STATUS; LONGITUDINAL STUDY; MORTALITY; PATHOPHYSIOLOGY; PATIENT DROPOUTS; PROCEDURES; REGRESSION ANALYSIS; STATISTICS AND NUMERICAL DATA; SURVIVAL;

ALGORITHMS; BIAS (EPIDEMIOLOGY); BIOSTATISTICS; CARDIOMYOPATHY, DILATED; COHORT STUDIES; COMPUTER SIMULATION; HEALTH STATUS; HUMANS; LIKELIHOOD FUNCTIONS; LONGITUDINAL STUDIES; MODELS, STATISTICAL; MONTE CARLO METHOD; PATIENT DROPOUTS; REGRESSION ANALYSIS; STATISTICS, NONPARAMETRIC; SURVIVAL ANALYSIS;

EID: 84919430545     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6393     Document Type: Article

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