Multilevel regression and poststratification as a modeling approach for estimating population quantities in large population health studies: A simulation study

Biometrical Journal

Volumn 62, Issue 2, 2020, Pages 479-491

  Downes, Marnie ^a,b   Carlin, John B ^a,b,c  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b MURDOCH CHILDREN'S RESEARCH INSTITUTE   (Australia)

^c UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

multilevel regression and poststratification; participation bias; selection bias; simulation; survey weighting

Indexed keywords

POPULATION STATISTICS;

GEOGRAPHICS; HEALTH-STUDY; MULTILEVEL REGRESSION AND POSTSTRATIFICATION; MULTILEVELS; PARTICIPATION BIAS; POPULATION HEALTH; POST STRATIFICATIONS; SELECTION BIAS; SIMULATION; SURVEY WEIGHTING;

REGRESSION ANALYSIS;

BIOMETRY; EPIDEMIOLOGY; HEALTH; HUMAN; PROBABILITY; PROCEDURES; REGRESSION ANALYSIS; SAMPLE SIZE; STATISTICAL MODEL;

BIOMETRY; EPIDEMIOLOGIC STUDIES; HEALTH; HUMANS; MODELS, STATISTICAL; PROBABILITY; REGRESSION ANALYSIS; SAMPLE SIZE;

EID: 85067336281     PISSN: 03233847     EISSN: 15214036     Source Type: Journal    
DOI: 10.1002/bimj.201900023     Document Type: Article

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