Reducing bias in cancer research: application of propensity score matching.
In cancer observational studies, differences between groups on confounding variables may have a significant effect on results when examining health outcomes. This study demonstrates the utility of propensity score matching to balance a non-cancer and cancer cohort of older adults on multiple relevant covariates. This approach matches cases to controls on a single indicator, the propensity score, rather than multiple variables. Results indicated that propensity score matching is an efficient and useful way to create a matched case-control study out of a large cohort study, and allows confidence in the strength of the observed outcomes of the study.
Reeve
Bryce B
BB
National Cancer Institute (NCI), Bethesda, MD 20892-7344, USA. reeveb@mail.nih.gov
Smith
Ashley Wilder
AW
Arora
Neeraj K
NK
Hays
Ron D
RD
D000368:Aged; D000369:Aged, 80 and over; D002908:Chronic Disease / Q000453:epidemiology*; D015331:Cohort Studies; D015897:Comorbidity; D017281:Cost of Illness; D003628:Database Management Systems; D015340:Epidemiologic Research Design; D005260:Female; D006801:Humans; D008297:Male; D008329:Managed Care Programs / Q000592:standards*; D006278:Medicare / Q000592:standards*; D009369:Neoplasms / Q000453:epidemiology*; D019370:Observation; D017063:Outcome Assessment, Health Care / Q000379:methods*; D011788:Quality of Life; D018426:SEER Program; D012959:Socioeconomic Factors; D017741:Survivors / Q000706:statistics & numerical data*; D014481:United States / Q000453:epidemiology
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