Technion, IEM faculty - Statistics Seminar
Speaker: Nadia Pogrebinsky, Technion
Title: A nonparametric approach for estimating the survival
       functions from case-control family data
Date:  06/11/2011
Time:  14:30
Place: Bloomfield-527
Abstract:  <>
Or read here:
Consider data arise from a typical case-control family study
where individuals with a disease under study (case-probands) and
individuals who do not have the disease (control-probands) are
randomly sampled from well defined populations. In addition, age
at onset or age at censoring and disease status are also
observed for one relative of each proband. For example,
caseprobands are women diagnosed with breast cancer,
control-probands are breast cancer free women, and information
is collected also on their sisters.
We provide a novel nonparametric estimator of the marginal
survival function based on kernel estimators of the conditional
survival functions under intracluster dependence. We present
extensive simulation studies to assess the finite sample
properties of the proposed methodology, and show that our
proposed estimators perform very well in terms of bias.
Technion Math. Net (TECHMATH)
Editor: Michael Cwikel   <> 
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