Survival Analysis with Uncertain Endpoints
Copyright policy )Survival Analysis with Uncertain Endpoints
In some survival analysis applications, the endpoint of interest has a degree of uncertainty associated with it. These events are typically classified by the investigator or by an endpoint committee as true or false according to some decision rule, and the analysis proceeds using only the true endpoints. This procedure has two drawbacks: The cut point for the decision rule is somewhat arbitrary, and the information contained in the level of certainty is lost. This paper introduces a modification of the Cox regression model that allows all potential endpoints to be included in the analysis along with the level of certainty of each. Simulation results show this procedure to considerably increase the power of the standard procedure in a wide range of situations.
- United States Military Academy United States
Clinical Trials as Topic, bias, Biometry, Myocardial Infarction, Survival analysis and censored data, Survival Analysis, power, endpoint committee, Tirofiban, Humans, Tyrosine, Computer Simulation, mean squared error, Angioplasty, Balloon, Platelet Aggregation Inhibitors, Cox regression, Proportional Hazards Models, Randomized Controlled Trials as Topic
Clinical Trials as Topic, bias, Biometry, Myocardial Infarction, Survival analysis and censored data, Survival Analysis, power, endpoint committee, Tirofiban, Humans, Tyrosine, Computer Simulation, mean squared error, Angioplasty, Balloon, Platelet Aggregation Inhibitors, Cox regression, Proportional Hazards Models, Randomized Controlled Trials as Topic
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