Cutting feedback in bayesian regression adjustment for the propensity score

International Journal of Biostatistics

Volumn 6, Issue 2, 2010, Pages

  McCandless, Lawrence C ^a   Douglas, Ian J ^b   Evans, Stephen J ^b   Smeeth, Liam ^b  

^a SIMON FRASER UNIVERSITY   (Canada)

^b LONDON SCHOOL OF HYGIENE AND TROPICAL MEDICINE   (United Kingdom)

Author keywords

Bias; Confounding; Markov chain Monte Carlo; Observational studies

Indexed keywords

ACETYLSALICYLIC ACID; HYDROXYMETHYLGLUTARYL COENZYME A REDUCTASE INHIBITOR;

AGED; ARTICLE; BAYES THEOREM; CARDIOVASCULAR DISEASE; DRUG EFFECT; ELDERLY CARE; HUMAN; PRIMARY PREVENTION; REGRESSION ANALYSIS; STROKE; TREATMENT OUTCOME; UNITED KINGDOM; AGE; COHORT ANALYSIS; COMORBIDITY; EPIDEMIOLOGY; MONTE CARLO METHOD; PROPENSITY SCORE; RANDOMIZED CONTROLLED TRIAL (TOPIC); SEX DIFFERENCE; STATISTICAL ANALYSIS;

AGE FACTORS; BAYES THEOREM; BIAS (EPIDEMIOLOGY); COHORT STUDIES; COMORBIDITY; CONFOUNDING FACTORS (EPIDEMIOLOGY); DATA INTERPRETATION, STATISTICAL; HYDROXYMETHYLGLUTARYL-COA REDUCTASE INHIBITORS; MONTE CARLO METHOD; PROPENSITY SCORE; RANDOMIZED CONTROLLED TRIALS AS TOPIC; REGRESSION ANALYSIS; SEX FACTORS; STROKE;

EID: 77950544211     PISSN: 15574679     EISSN: None     Source Type: Journal    
DOI: 10.2202/1557-4679.1205     Document Type: Article

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