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Activity Number:
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352
- Clinical Trials: Recent Advances in Design and Inference
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2018 : 10:30 AM to 12:30 PM
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Sponsor:
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Korean International Statistical Society
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Abstract #329759
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Presentation
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Title:
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Restricted Mean Survival Time as a Function of Restriction Time
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Author(s):
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Yingchao Zhong* and Douglas E. Schaubel
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Companies:
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University of Michigan and University of Michigan, Ann Arbor
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Keywords:
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survival;
truncation;
regression;
restricted mean
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Abstract:
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Restricted mean survival time (RMST) is a clinically interpretable and meaningful summary statistic that has gained popularity in recent years. Although various estimators of RMST have differed on assumptions and estimation methods, all have depended heavily on a pre-selected value of L, the observation time cutoff. If investigators were interested in analysis with multiple values of L, different analyses would have to be done for each unique value of L. We propose an inference framework using a direct modeling approach that would estimate the RMST as a continuous function of L. Large sample variance estimators are derived. Simulation studies are performed to show the method's performance in moderate sample sizes. The proposed framework is applied to Scientific Registry of Transplant Recipients (SRTR) data.
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Authors who are presenting talks have a * after their name.
