Confounder selection via penalized credible regions

Biometrics

Volumn 70, Issue 4, 2014, Pages 852-861

  Wilson, Ander ^a   Reich, Brian J ^a  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

Adjustment uncertainty; Confounder selection; Consistency; Credible region; Variable selection

Indexed keywords

LEAST SQUARES APPROXIMATIONS; MARKOV PROCESSES; MONTE CARLO METHODS; PARTICLES (PARTICULATE MATTER); REGRESSION ANALYSIS;

ADJUSTMENT UNCERTAINTY; CONFOUNDER; CONFOUNDER SELECTION; CONSISTENCY; COVARIATES; CREDIBLE REGIONS; EXPOSURE EFFECTS; MEANS SQUARE ERRORS; UNCERTAINTY; VARIABLES SELECTIONS;

MEAN SQUARE ERROR;

PARTICULATE MATTER;

ALGORITHM; ANALYSIS; BAYES THEOREM; BIRTH WEIGHT; COMPUTER SIMULATION; ENVIRONMENTAL EXPOSURE; EPIDEMIOLOGY; FEMALE; HUMAN; PARTICULATE MATTER; PREGNANCY; PRENATAL EXPOSURE; PREVALENCE; PROCEDURES; RISK ASSESSMENT; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; UNITED STATES;

ALGORITHMS; BAYES THEOREM; BIRTH WEIGHT; COMPUTER SIMULATION; CONFOUNDING FACTORS (EPIDEMIOLOGY); ENVIRONMENTAL EXPOSURE; FEMALE; HUMANS; MODELS, STATISTICAL; NORTH CAROLINA; PARTICULATE MATTER; PREGNANCY; PRENATAL EXPOSURE DELAYED EFFECTS; PREVALENCE; RISK ASSESSMENT;

EID: 84919844877     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/biom.12203     Document Type: Article

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