Sensitivity analysis of incomplete longitudinal data departing from the missing at random assumption: Methodology and application in a clinical trial with drop-outs

Statistical Methods in Medical Research

Volumn 25, Issue 4, 2016, Pages 1471-1489

  Moreno Betancur, M ^a,b   Chavance, M ^a,b   Lawson, Andrew B ^c   Lee, Duncan ^c   MacNab, Ying ^c  

^a CENTRE FOR RESEARCH IN EPIDEMIOLOGY AND POPULATION HEALTH   (France)

^b UNIVERSITÉ PARIS SACLAY   (France)

^c NONE

Author keywords

drop outs; linear mixed model; longitudinal data; Missing data; multiple imputation; pattern mixture model; sensitivity analysis

Indexed keywords

CASE STUDY; CONFERENCE PAPER; CONTROLLED STUDY; DATA ANALYSIS; HUMAN; INSOMNIA; LONGITUDINAL STUDY; MAINTENANCE THERAPY; MAJOR CLINICAL STUDY; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; METHODOLOGY; MISSING AT RANDOM; RANDOMIZED CONTROLLED TRIAL; SENSITIVITY ANALYSIS; SIMULATION; SLEEP QUALITY; SLEEP TIME; SLEEP WAKING CYCLE; STATISTICAL MODEL; WAKEFULNESS; PATIENT DROPOUT; PROCEDURES; RANDOMIZED CONTROLLED TRIAL (TOPIC); STATISTICAL ANALYSIS;

DATA INTERPRETATION, STATISTICAL; HUMANS; LIKELIHOOD FUNCTIONS; LINEAR MODELS; LONGITUDINAL STUDIES; PATIENT DROPOUTS; RANDOMIZED CONTROLLED TRIALS AS TOPIC; SLEEP INITIATION AND MAINTENANCE DISORDERS;

EID: 84983752583     PISSN: 09622802     EISSN: 14770334     Source Type: Journal    
DOI: 10.1177/0962280213490014     Document Type: Conference Paper

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