A method for imputing missing data in longitudinal studies

Annals of Epidemiology

Volumn 14, Issue 5, 2004, Pages 354-361

  Youk, Ada O ^a   Stone, Roslyn A ^a   Marsh, Gary M ^a  

^a UNIVERSITY OF PITTSBURGH GRADUATE SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Bootstrap; Cohort Mortality; EM Algorithm; Person Years; Standardized Mortality Ratio; Vital Rates

Indexed keywords

ALGORITHM; ARTICLE; COHORT ANALYSIS; CONFIDENCE INTERVAL; CONTROLLED STUDY; DATA ANALYSIS; DEVICE; HUMAN; INTERMETHOD COMPARISON; LONGITUDINAL STUDY; MALE; METHODOLOGY; MORTALITY; NONBIOLOGICAL MODEL; NORMAL HUMAN; PRIORITY JOURNAL; PROBABILITY; RACE DIFFERENCE; WORKER;

ADOLESCENT; ADULT; AGED; ALGORITHMS; ANALYSIS OF VARIANCE; BIOMETRY; CAUSE OF DEATH; CHILD; DATA INTERPRETATION, STATISTICAL; EUROPEAN CONTINENTAL ANCESTRY GROUP; HUMANS; LIKELIHOOD FUNCTIONS; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; MODELS, STATISTICAL; OCCUPATIONAL DISEASES; PENNSYLVANIA; PROPORTIONAL HAZARDS MODELS; REGRESSION ANALYSIS; SOFTWARE; TEXTILE INDUSTRY; TIME FACTORS;

EID: 2942597895     PISSN: 10472797     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.annepidem.2003.09.010     Document Type: Article

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