title: Epidemiologic and statistical methods for comparative effectiveness research.
abstract: Observational methods are evolving in response to the widespread availability of data from clinical registries, electronic health records, and administrative databases. These approaches will never eliminate the need for randomized trials, but clearly have a role in evaluating the effect of therapies in unselected populations treated in routine practice.
authors.affiliation: Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA 94305-5405, USA. hlatky@stanford.edu
authors.forename: Mark A
authors.initials: MA
authors.lastname: Hlatky
authors.forename: Wolfgang C
authors.initials: WC
authors.lastname: Winkelmayer
authors.forename: Soko
authors.initials: S
authors.lastname: Setoguchi
mesh_terms: D057186:Comparative Effectiveness Research / Q000379:methods / Q000706:statistics & numerical data; D003627:Data Interpretation, Statistical; D016208:Databases, Factual / Q000706:statistics & numerical data; D057286:Electronic Health Records / Q000706:statistics & numerical data; D006333:Heart Failure / Q000175:diagnosis / Q000453:epidemiology / Q000628:therapy; D006801:Humans; D019370:Observation / Q000379:methods*; D010043:Outcome and Process Assessment, Health Care / Q000706:statistics & numerical data*; D016032:Randomized Controlled Trials as Topic / Q000379:methods / Q000706:statistics & numerical data; D012042:Registries / Q000706:statistics & numerical data; D012107:Research Design