Performance of disease risk scores, propensity scores, and traditional multivariable outcome regression in the presence of multiple confounders

American Journal of Epidemiology

Volumn 174, Issue 5, 2011, Pages 613-620

  Arbogast, Patrick G ^a,b   Ray, Wayne A ^b,c  

^a VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

^b VANDERBILT UNIVERSITY   (United States)

^c VETERANS AFFAIRS MEDICAL CENTER   (United States)

Author keywords

confounding factors (epidemiology); epidemiologic methods; observational study; pharmacoepidemiology

Indexed keywords

COHORT ANALYSIS; CORRELATION; DISEASE PREVALENCE; EPIDEMIOLOGY; MATHEMATICAL ANALYSIS; MONTE CARLO ANALYSIS; MULTIVARIATE ANALYSIS; NUMERICAL MODEL; OBSERVATIONAL METHOD; PERFORMANCE ASSESSMENT; REGRESSION ANALYSIS; RISK FACTOR; TRADITIONAL KNOWLEDGE;

ARTICLE; CORRELATION ANALYSIS; DISEASE RISK SCORE; EXPOSURE; MONTE CARLO METHOD; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; PERFORMANCE; POPULATION; PROBABILITY; PROPENSITY SCORE; SCORING SYSTEM;

BIAS (EPIDEMIOLOGY); COHORT STUDIES; CONFOUNDING FACTORS (EPIDEMIOLOGY); EPIDEMIOLOGIC METHODS; HUMANS; LOGISTIC MODELS; MULTIVARIATE ANALYSIS; PROBABILITY; PROGNOSIS; PROPENSITY SCORE;

EID: 80052224816     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwr143     Document Type: Article

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