The impact of dichotomization in longitudinal data analysis: A simulation study

Pharmaceutical Statistics

Volumn 9, Issue 4, 2010, Pages 298-312

  Yoo, Bongin ^a  

^a BRISTOL MYERS SQUIBB   (United States)

Author keywords

dichotomization; linear mixed effects models; longitudinal data analysis; missing data; multiple imputation GEE; weighted GEE

Indexed keywords

ARTICLE; COMPARATIVE STUDY; DICHOTOMIZATION; GENERALIZED LINEAR MODEL; HUMAN; LONGITUDINAL STUDY; METHODOLOGY; OUTCOME ASSESSMENT; OUTCOME VARIABLE; RANDOMIZED CONTROLLED TRIAL; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL MODEL;

COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; LONGITUDINAL STUDIES; TREATMENT OUTCOME;

EID: 78650664527     PISSN: 15391604     EISSN: 15391612     Source Type: Journal    
DOI: 10.1002/pst.396     Document Type: Article

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