"proportion explained": A causal interpretation for standard measures of indirect effect?

American Journal of Epidemiology

Volumn 170, Issue 11, 2009, Pages 1443-1448

  Hafeman, Danella M ^a,b  

^a Columbia University ^*  (United States)

^b UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

Causality; Effect size; Epidemiologic methods; Indirect effects; Mediation; Statistics

Indexed keywords

ESTRADIOL;

EPIDEMIOLOGY; NUMERICAL MODEL; STATISTICAL ANALYSIS;

ARTICLE; BIOSTATISTICS; BODY MASS; BREAST CANCER; CALCULATION; EFFECT SIZE; HAZARD RATIO; OUTCOMES RESEARCH; RISK ASSESSMENT; STANDARD;

BODY MASS INDEX; BREAST NEOPLASMS; CAUSALITY; ESTRADIOL; FEMALE; HUMANS; MODELS, STATISTICAL; RISK FACTORS; STATISTICS AS TOPIC;

EID: 70849134693     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwp283     Document Type: Article

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