A robust approach to t linear mixed models applied to multiple sclerosis data

Statistics in Medicine

Volumn 25, Issue 8, 2006, Pages 1397-1412

  Lin, Tsung I ^a   Lee, Jack C ^b  

^a NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

^b NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

Fisher scoring; Longitudinal data; Prediction; Random effects; t REML

Indexed keywords

INTERFERON BETA SERINE; PLACEBO;

ANALYTICAL ERROR; ARTICLE; CLINICAL PROTOCOL; CLINICAL TRIAL; DRUG MEGADOSE; HUMAN; LONGITUDINAL STUDY; LOW DRUG DOSE; MAXIMUM LIKELIHOOD METHOD; MULTIPLE SCLEROSIS; MULTIVARIATE ANALYSIS; PREDICTION; SCORING SYSTEM; STATISTICAL DISTRIBUTION; STATISTICAL MODEL;

BAYES THEOREM; BIOMETRY; CLINICAL TRIALS; CLINICAL TRIALS AS TOPIC; EPIDEMIOLOGIC METHODS; HUMANS; LIKELIHOOD FUNCTIONS; LINEAR MODELS; LONGITUDINAL STUDIES; MULTIPLE SCLEROSIS; STATISTICAL DISTRIBUTIONS; STOCHASTIC PROCESSES;

EID: 33646164643     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2384     Document Type: Article

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