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Activity Number:
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401
- Real-World Survival Data with Multiple Events: Challenges, Opportunities, and Recent Advancements
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Type:
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Invited
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Date/Time:
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Wednesday, August 10, 2022 : 10:30 AM to 12:20 PM
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Sponsor:
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Lifetime Data Science Section
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Abstract #320506
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Title:
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Real-World Survival Data with Multiple Events: Challenges, Opportunities, and Recent Advances
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Author(s):
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Ross Laverne Prentice*
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Companies:
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Fred Hutchinson Cancer Research Center
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Keywords:
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Censoring;
Competing risks;
Failure times;
Marginal hazard rates;
Multivariate response;
Regression
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Abstract:
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Data analysis methods for the study of treatments or exposures in relation to clinical outcomes in the presence of competing risks have a long and variable history, often with inference targets that require strong assumptions for identifiability. Here methods that are based on marginal hazard rate estimation for univariate and multivariate outcomes are considered. These hazard rates are fully identifiable under standard independent censorship assumptions, leading to modeling and analysis procedures that can provide answers to many data analysis questions of interest. These methods will be illustrated using Women's Health Initiative clinical trial and cohort study data, and additional research needs will be described.
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Authors who are presenting talks have a * after their name.
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