Using observational data to estimate treatment effects [9]

JAMA

Volumn 297, Issue 19, 2007, Pages 2078-2079

  Stukel, Therese A ^a   Fisher, Elliott S ^b   Wennberg, David E ^c  

^a INSTITUTE FOR CLINICAL EVALUATIVE SCIENCES   (Canada)

^b DARTMOUTH MEDICAL SCHOOL   (United States)

^c MAINE MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CORONARY CARE UNIT; HEALTH CARE; HEART CATHETERIZATION; HUMAN; LETTER; PRIORITY JOURNAL; REVASCULARIZATION; SCORING SYSTEM; SURVIVAL; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; EPIDEMIOLOGY; METHODOLOGY; NOTE; OBSERVATION; QUALITATIVE RESEARCH; RANDOMIZED CONTROLLED TRIAL; STATISTICAL MODEL; TREATMENT OUTCOME;

MODELS, STATISTICAL; OBSERVATION; QUALITATIVE RESEARCH; RANDOMIZED CONTROLLED TRIALS; RESEARCH DESIGN; SELECTION BIAS; TREATMENT OUTCOME;

EID: 34248527896     PISSN: 00987484     EISSN: 15383598     Source Type: Journal    
DOI: None     Document Type: Letter

References (4)

1. D'Agostino RB Jr, D'Agostino RB Sr. Estimating treatment effects using observational data [editorial]. JAMA. 2007;297:314-316.
2. Stukel TA, Fisher ES, Wennberg DE, Alter DA, Gottlieb DJ, Vermeulen MJ. Analysis of observational studies in the presence of treatment selection bias: effects of invasive cardiac management on AMI survival using propensity score and instrumental variable methods. JAMA. 2007;297:278-285.
3. Angrist JD, Imbens GW, Rubin DB. Identification of causal effects using instrumental variables. J Am Stat Assoc. 1996;91:444-455.
4. Landrum MB, Ayanian JZ. Causal effect of ambulatory specialty care on mortality following myocardial infarction: a comparison of propensity score and instrumental variable analyses. Health Serv Outcomes Res Methodol. 2001;2:221-245.