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Additive risk model with case-cohort sampled current status data

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Abstract

Two-phase stratified sampling has been extensively used in large epidemiologic studies as a way of reducing costs associated with assembling covariate histories and enlarging relative sample sizes of the most informative subgroups. In this article, we investigate case-cohort sampled current status data under the additive risk model assumption. We describe a class of estimating equations, each depending on a different prevalence ratio estimate. Asymptotic properties of the proposed estimators and inference based on the “m out of n” nonparametric bootstrap are investigated. A small simulation study is employed to evaluate the finite sample performance and relative efficiency of the proposed estimators.

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Authors and Affiliations

  1. Department of Biostatistics, University of Washington, 98115, Seattle, WA, USA

    Shuangge Ma

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  1. Shuangge Ma
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Ma, S. Additive risk model with case-cohort sampled current status data. Statistical Papers 48, 595–608 (2007). https://doi.org/10.1007/s00362-007-0359-y

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  • DOI: https://doi.org/10.1007/s00362-007-0359-y

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