Testing and estimating model-adjusted effect-measure modification using marginal structural models and complex survey data

American Journal of Epidemiology

Volumn 172, Issue 9, 2010, Pages 1085-1091

  Brumback, Babette A ^a   Bouldin, Erin D ^a   Zheng, Hao W ^a   Cannell, Michael B ^a   Andresen, Elena M ^a  

^a UNIVERSITY OF FLORIDA   (United States)

Author keywords

health surveys; heterogeneity; interaction; logistic regression; models statistical; probability weighting; standardization; survey analysis

Indexed keywords

DATA SET; ESTIMATION METHOD; HEALTH RISK; HEALTH SURVEY; HETEROGENEITY; LOGISTICS; NUMERICAL MODEL; POPULATION STRUCTURE; REGRESSION ANALYSIS; RISK FACTOR; STANDARDIZATION; SURVEY;

ADULT; AGE; AGED; DISABILITY; HEALTH CARE COST; HUMAN; REVIEW; RISK ASSESSMENT; STANDARDIZATION; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ADOLESCENT; ADULT; AGED; DISABLED PERSONS; FLORIDA; HEALTH SURVEYS; HUMANS; LOGISTIC MODELS; MATHEMATICAL COMPUTING; MIDDLE AGED; MODELS, STATISTICAL; ODDS RATIO; RESEARCH DESIGN; RISK ASSESSMENT; SAMPLING STUDIES;

NORTH CAROLINA; UNITED STATES;

EID: 77958553423     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwq244     Document Type: Review

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