Incorporating missingness for estimation of marginal regression models with multiple source predictors

Statistics in Medicine

Volumn 26, Issue 5, 2007, Pages 1055-1068

  Litman, Heather J ^a   Horton, Nicholas J ^b   Hernández, Bernardo ^c   Laird, Nan M ^d  

^a NEW ENGLAND RESEARCH INSTITUTES   (United States)

^b SMITH COLLEGE   (United States)

^c INSTITUTO NACIONAL DE SALUD PÚBLICA   (Mexico)

^d HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Maximum likelihood; Missing completely at random; Missingness in the covariates; Missingness in the response; Multiple informants

Indexed keywords

ARTICLE; BODY MASS; CHILD BEHAVIOR; CHILD HEALTH CARE; CLINICAL RESEARCH; COVARIANCE; DATA ANALYSIS; DISEASE ASSOCIATION; EXERCISE INTENSITY; HUMAN; INTERMETHOD COMPARISON; MAXIMUM LIKELIHOOD METHOD; OBESITY; PHYSICAL ACTIVITY; REGRESSION ANALYSIS; SELF REPORT; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL MODEL;

BIAS (EPIDEMIOLOGY); BODY MASS INDEX; CHILD; EXERCISE; FEMALE; HUMANS; LIKELIHOOD FUNCTIONS; MEXICO; OBESITY; REGRESSION ANALYSIS; SELF DISCLOSURE;

EID: 33847094542     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2593     Document Type: Article

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