Principled Approaches to Missing Data in Epidemiologic Studies

American Journal of Epidemiology

Volumn 187, Issue 3, 2018, Pages 568-575

  Perkins, Neil J ^a   Cole, Stephen R ^b   Harel, Ofer ^c   Tchetgen Tchetgen, Eric J ^d   Sun, Baoluo ^d   Mitchell, Emily M ^e   Schisterman, Enrique F ^a  

^a EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH AND HUMAN DEVELOPMENT   (United States)

^b University of North Carolina at Chapel Hill   (United States)

^c UNIVERSITY OF CONNECTICUT   (United States)

^d HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^e AGENCY FOR HEALTHCARE RESEARCH AND QUALITY   (United States)

Author keywords

bias (epidemiology); complete case analysis; inverse probability weighting; missing data; multiple imputation

Indexed keywords

ABORTION; ANALYTICAL METHOD; CONFIDENCE INTERVAL; DATA ASSIMILATION; EPIDEMIOLOGY; HEALTH RISK; INVERSE ANALYSIS; LITERATURE REVIEW; POLICY IMPLEMENTATION; PROBABILITY; RISK FACTOR; SMOKE;

ARTICLE; BODY MASS; EPIDEMIOLOGICAL DATA; HUMAN; LOGISTIC REGRESSION ANALYSIS; MATERNAL AGE; MATERNAL SMOKING; NOMENCLATURE; OUTCOME ASSESSMENT; PROBABILITY; RACISM; RISK ASSESSMENT; RISK FACTOR; SPONTANEOUS ABORTION; CLINICAL TRIAL; EPIDEMIOLOGY; FEMALE; MEASUREMENT ACCURACY; MULTICENTER STUDY; PREGNANCY; STATISTICAL ANALYSIS;

DATA ACCURACY; DATA INTERPRETATION, STATISTICAL; EPIDEMIOLOGIC RESEARCH DESIGN; EPIDEMIOLOGIC STUDIES; FEMALE; HUMANS; PREGNANCY;

EID: 85042928346     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwx348     Document Type: Article

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