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Nonparametric estimation of age-at-onset distributions from censored kin-cohort data

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  • Yuanjia Wang
  • Lorraine N. Clark
  • Karen Marder
  • Daniel Rabinowitz

Abstract

We present a nonparametric estimator of genotype-specific age-at-onset distributions from kin-cohort data. Standard error calculations are derived and the methodology is illustrated through an analysis of the influence of mutations of the Parkin gene on Parkinson's disease. Semiparametric efficiency considerations are briefly discussed. Copyright 2007, Oxford University Press.

Suggested Citation

  • Yuanjia Wang & Lorraine N. Clark & Karen Marder & Daniel Rabinowitz, 2007. "Nonparametric estimation of age-at-onset distributions from censored kin-cohort data," Biometrika, Biometrika Trust, vol. 94(2), pages 403-114.
    • Handle: RePEc:oup:biomet:v:94:y:2007:i:2:p:403-114
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    File URL: http://hdl.handle.net/10.1093/biomet/asm027
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    Cited by:

    1. Yuanjia Wang & Tanya P. Garcia & Yanyuan Ma, 2012. "Nonparametric Estimation for Censored Mixture Data With Application to the Cooperative Huntington’s Observational Research Trial," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(500), pages 1324-1338, December.

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