Abstract Details
Activity Number:
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549
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Type:
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Contributed
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Date/Time:
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Wednesday, August 12, 2015 : 10:30 AM to 12:20 PM
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Sponsor:
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Biopharmaceutical Section
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Abstract #317097
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Title:
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Testing the Difference in the Cumulative Risk Distributions of Two Events
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Author(s):
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Sujata Patil* and Deborah Kuk
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Companies:
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Memorial Sloan Kettering Cancer Center and Memorial Sloan Kettering Cancer Center
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Keywords:
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competing risk ;
cumulative incidence
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Abstract:
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Competing risks occur when a patient experiences one type of event that changes the probability of developing a second type of event. For example, it may be of interest to examine whether the incidence of death due to disease is different in two subgroups of patients, where death due to other causes is defined as a competing risk. Tests to compare the cumulative risk of one event in subgroups of patients have been developed and are commonly used. However, another hypothesis of interest is in testing whether the cumulative distributions of two competing events are different. Our motivating example is in the area of breast cancer where investigators want to test whether ductal carcinoma in situ (event 1) or invasive cancer (event 2) occur with higher incidence in a cohort of women with high-risk lobular lesions (LCIS). These types of hypotheses are becoming increasingly common in the current era of targeted therapy and enhanced imaging methods. In this work, we develop a test to compare the cumulative incidence of two competing events and evaluate its performance and sensitivity via simulations. Results from the simulation study and an application to the LCIS cohort will be reported.
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Authors who are presenting talks have a * after their name.
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