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Activity Number:
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113
- Recent Advances in Design and Analysis of Two-Phase Studies
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Type:
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Topic Contributed
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Date/Time:
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Monday, July 30, 2018 : 8:30 AM to 10:20 AM
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Sponsor:
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Lifetime Data Analysis Interest Group
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Abstract #328544
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Presentation
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Title:
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A Hybrid Method for the Stratified Mark-Specific Proportional Hazards Models with Missing Data, with Applications to Dengue Vaccine Efficacy Trials
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Author(s):
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Yanqing Sun* and Li Qi and Peter Gilbert and Fei Heng
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Companies:
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University of North Carolina At Charlotte and Biostatistics and Programming, Sanofi and Fred Hutchinson Cancer Research Center and University of North Carolina at Charlotte
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Keywords:
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competing risks failure time;
missing data;
semiparametric regression
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Abstract:
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This article is motivated by the objective to understand how the dengue vaccine efficacy is modified by neutralizing antibodies and whether it depends on dengue genetics. The immune responses in the CYD14 dengue efficacy trial were measured through a two-phase/case-cohort sampling design and there is a high percentage of missing dengue sequences. Estimation and hypothesis testing procedures for the stratified mark-specific proportional hazards model with missing covariates and missing marks are developed, where the mark is the genetic distance of an infecting dengue sequence to the dengue sequence represented inside the vaccine. Two hybrid approaches are investigated to take advantages of both the augmented inverse probability of complete-case weighted method and hot deck multiple imputation. A simulation study is conducted to examine the finite-sample performances of the proposed hybrid estimators and the hypothesis testing procedures. The developed hybrid methods are applied to the CYD14 efficacy trial to assess association of dengue infection with the immune responses.
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Authors who are presenting talks have a * after their name.
