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Augmented case-only designs for randomized clinical trials with failure time endpoints.

James Y Dai1, Xinyi Cindy Zhang1, Ching-Yun Wang1

  • 1Fred Hutchinson Cancer Research Center and University of Washington, Seattle, Washington.

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|September 9, 2015
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Summary

Augmenting the case-only design with controls improves genetic and treatment effect estimation in Cox models. Sampling controls from the active treatment arm offers similar efficiency for genetic studies in vaccine trials.

Keywords:
Case-cohort designCase-only estimatorGene-treatment interactionNested case-control designPharmacogenetics

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Area of Science:

  • Biostatistics
  • Genetic Epidemiology
  • Clinical Trials

Background:

  • The case-only design efficiently estimates gene-treatment interactions and subgroup effects in Cox models.
  • However, it cannot estimate genetic main effects or baseline hazards, limiting absolute disease risk calculation.

Purpose of the Study:

  • To enhance the case-only design for estimating all Cox model parameters, including genetic main effects.
  • To evaluate augmented designs for two-arm trials with rare endpoints, particularly in vaccine research.

Main Methods:

  • Augmenting the case-only design with random control samples from both arms (case-cohort) or only the active treatment arm.
  • Incorporating efficient case-only estimators into a two-step plug-in procedure.

Main Results:

  • The augmented designs successfully identify all parameters in a Cox model.
  • Incorporating case-only estimators into the case-cohort design enhances parameter estimation precision.
  • Sampling controls solely from the active treatment arm achieves comparable efficiency.

Conclusions:

  • Augmented case-only designs provide a comprehensive approach to analyzing genetic and treatment effects in clinical trials.
  • Sampling controls from the active treatment arm is an efficient strategy for genetic and immune response studies in vaccine trials.