Literature DB >> 12229984

Analysis of survival data from case-control family studies.

Joanna H Shih1, Nilanjan Chatterjee.   

Abstract

In case-control family studies with survival endpoint, age of onset of diseases can be used to assess the familial aggregation of the disease and the relationship between the disease and genetic or environmental risk factors. Because of the retrospective nature of the case--control study, methods for analyzing prospectively collected correlated failure time data do not apply directly. In this article, we propose a semiparametric quasi-partial-likelihood approach to simultaneously estimate the effect of covariates on the age of onset and the association of ages of onset among family members that does not require specification of the baseline marginal distribution. We conducted a simulation study to evaluate the performance of the proposed approach and compare it with the existing semiparametric ones. Simulation results demonstrate that the proposed approach has better performance in terms of consistency and efficiency. We illustrate the methodology using a subset of data from the Washington Ashkenazi Study.

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Mesh:

Year:  2002        PMID: 12229984     DOI: 10.1111/j.0006-341x.2002.00502.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  9 in total

1.  Marginal hazards regression for retrospective studies within cohort with possibly correlated failure time data.

Authors:  Sangwook Kang; Jianwen Cai
Journal:  Biometrics       Date:  2008-05-19       Impact factor: 2.571

2.  A fully nonparametric estimator of the marginal survival function based on case-control clustered age-at-onset data.

Authors:  Malka Gorfine; Nadia Bordo; Li Hsu
Journal:  Biostatistics       Date:  2016-07-19       Impact factor: 5.899

3.  Frailty Models for Familial Risk with Application to Breast Cancer.

Authors:  Malka Gorfine; Li Hsu; Giovanni Parmigiani
Journal:  J Am Stat Assoc       Date:  2013-12-01       Impact factor: 5.033

4.  Missing genetic information in case-control family data with general semi-parametric shared frailty model.

Authors:  Anna Graber-Naidich; Malka Gorfine; Kathleen E Malone; Li Hsu
Journal:  Lifetime Data Anal       Date:  2010-12-12       Impact factor: 1.588

5.  Semiparametric inference on the penetrances of rare genetic mutations based on a case-family design.

Authors:  Hong Zhang; Donglin Zeng; Sylviane Olschwang; Kai Yu
Journal:  J Stat Plan Inference       Date:  2013-02       Impact factor: 1.111

6.  Conditional and Marginal Estimates in Case-Control Family Data - Extensions and Sensitivity Analyses.

Authors:  Malka Gorfine; Rottem De-Picciotto; Li Hsu
Journal:  J Stat Comput Simul       Date:  2012-07-05       Impact factor: 1.424

7.  CASE-CONTROL SURVIVAL ANALYSIS WITH A GENERAL SEMIPARAMETRIC SHARED FRAILTY MODEL - A PSEUDO FULL LIKELIHOOD APPROACH.

Authors:  Malka Gorfine; David M Zucker; Li Hsu
Journal:  Ann Stat       Date:  2009       Impact factor: 4.028

8.  Familial correlations of onset age of hepatocellular carcinoma: a population-based case-control family study.

Authors:  Li Liu; Lixia Li; Shudong Zhou; Qingwu Jiang; Sidong Chen; Yanhui Gao; Yue Chen
Journal:  PLoS One       Date:  2014-09-23       Impact factor: 3.240

9.  Second-Order Estimating Equations for Clustered Current Status Data from Family Studies Using Response-Dependent Sampling.

Authors:  Yujie Zhong; Richard J Cook
Journal:  Stat Biosci       Date:  2017-07-24
  9 in total

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