期刊
JOURNAL OF CLINICAL EPIDEMIOLOGY
卷 69, 期 -, 页码 170-173出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.jclinepi.2015.07.006
关键词
Kaplan-Meier estimates; Survival analysis; Product-limit; Competing risks; Bias; Cumulative incidence function
资金
- Department of Medicine, University of Ottawa
Objective: Risk estimates from Kaplan-Meier curves are well known to medical researchers, reviewers, and editors. In this study, we determined the proportion of Kaplan-Meier analyses published in prominent medical journals that are potentially biased because of competing events (competing risk bias). Study Design and Setting: We randomly selected 100 studies that had at least one Kaplan-Meier analysis and were recently published in prominent medical journals. Susceptibility to competing risk bias was determined by examining the outcome and potential competing events. In susceptible studies, bias was quantified using a previously validated prediction model when the number of outcomes and competing events were given. Results: Forty-six studies (46%) contained Kaplan-Meier analyses susceptible to competing risk bias. Sixteen studies (34.8%) susceptible to competing risk cited the number of outcomes and competing events; in six of these studies (6/16, 37.5%), the outcome risk from the Kaplan-Meier estimate (relative to the true risk) was biased upward by 10% or more. Conclusion: Almost half of Kaplan-Meier analyses published in medical journals are susceptible to competing risk bias and may overestimate event risk. This bias was found to be quantitatively important in a third of such studies. (C) 2016 Elsevier Inc. All rights reserved.
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