Kaplan-Meier, marginal or conditional probability curves in summarizing competing risks failure time data?
In the context of competing risks the Kaplan-Meier estimator is often unsuitable for summarizing failure time data. We discuss some alternative descriptive methods including marginal probability and conditional probability estimators. Two-sample test statistics are also presented.
Fred Hutchinson Cancer Research Center, Seattle, Washington 98104.
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D016026:Bone Marrow Transplantation / Q000401:mortality / Q000706:statistics & numerical data*; D002423:Cause of Death; D003626:Data Display; D003627:Data Interpretation, Statistical; D006086:Graft vs Host Disease / Q000401:mortality; D006801:Humans; D015994:Incidence; D007938:Leukemia / Q000401:mortality / Q000601:surgery*; D009364:Neoplasm Recurrence, Local / Q000401:mortality; D011336:Probability; D016016:Proportional Hazards Models; D012307:Risk Factors; D015996:Survival Rate; D017211:Treatment Failure