A comparison of bootstrap approaches for estimating uncertainty of parameters in linear mixed-effects models

Pharmaceutical Statistics

Volumn 12, Issue 3, 2013, Pages 129-140

  Thai, Hoai Thu ^a,b   Mentré, France ^a,b   Holford, Nicholas H G ^c   Veyrat Follet, Christine ^d   Comets, Emmanuelle ^a,b  

^a UNIVERSITÉ PARIS DESCARTES   (France)

^b INSERM   (France)

^c UNIVERSITY OF AUCKLAND   (New Zealand)

^d SANOFI   (France)

Author keywords

bootstrap; linear mixed effects models; longitudinal data; Parkinson's disease; R

Indexed keywords

ARTICLE; BOOTSTRAPPING; COMPARATIVE STUDY; CONTROLLED STUDY; DISEASE COURSE; MAXIMUM LIKELIHOOD METHOD; PARKINSON DISEASE; SIMULATION; STUDY DESIGN; UNCERTAINTY; VARIANCE;

BIAS (EPIDEMIOLOGY); CLINICAL TRIALS AS TOPIC; COMPUTER SIMULATION; CONFIDENCE INTERVALS; DATA INTERPRETATION, STATISTICAL; HUMANS; LIKELIHOOD FUNCTIONS; LINEAR MODELS; MODELS, STATISTICAL; PARKINSON DISEASE; RESEARCH DESIGN; STATISTICS, NONPARAMETRIC;

EID: 84878119201     PISSN: 15391604     EISSN: 15391612     Source Type: Journal    
DOI: 10.1002/pst.1561     Document Type: Article

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