Literature DB >> 20002400

Modeling familial association of ages at onset of disease in the presence of competing risk.

Joanna H Shih1, Paul S Albert.   

Abstract

In genetic family studies, ages at onset of diseases are routinely collected. Often one is interested in assessing the familial association of ages at the onset of a certain disease type. However, when a competing risk is present and is related to the disease of interest, the usual measure of association by treating the competing event as an independent censoring event is biased. We propose a bivariate model that incorporates two types of association: one is between the first event time of paired members, and the other is between the failure types given the first event time. We consider flexible measures for both types of association, and estimate the corresponding association parameters by adopting the two-stage estimation of Shih and Louis (1995, Biometrics 51, 1384-1399) and Nan et al. (2006, Journal of the American Statistical Association 101, 65-77). The proposed method is illustrated using the kinship data from the Washington Ashkenazi Study.
© 2009, The International Biometric Society
No claim to original US government works.

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Year:  2010        PMID: 20002400      PMCID: PMC2891314          DOI: 10.1111/j.1541-0420.2009.01372.x

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


  8 in total

1.  Non-parametric estimation of bivariate failure time associations in the presence of a competing risk.

Authors:  Karen Bandeen-Roche; Jing Ning
Journal:  Biometrika       Date:  2008-03-01       Impact factor: 2.445

2.  Case-control and case-only designs with genotype and family history data: estimating relative risk, residual familial aggregation, and cumulative risk.

Authors:  Nilanjan Chatterjee; Zeynep Kalaylioglu; Joanna H Shih; Mitchell H Gail
Journal:  Biometrics       Date:  2006-03       Impact factor: 2.571

3.  Nonparametric association analysis of exchangeable clustered competing risks data.

Authors:  Yu Cheng; Jason P Fine; Michael R Kosorok
Journal:  Biometrics       Date:  2008-05-11       Impact factor: 2.571

4.  The analysis of failure times in the presence of competing risks.

Authors:  R L Prentice; J D Kalbfleisch; A V Peterson; N Flournoy; V T Farewell; N E Breslow
Journal:  Biometrics       Date:  1978-12       Impact factor: 2.571

5.  The risk of cancer associated with specific mutations of BRCA1 and BRCA2 among Ashkenazi Jews.

Authors:  J P Struewing; P Hartge; S Wacholder; S M Baker; M Berlin; M McAdams; M M Timmerman; L C Brody; M A Tucker
Journal:  N Engl J Med       Date:  1997-05-15       Impact factor: 91.245

6.  Inferences on the association parameter in copula models for bivariate survival data.

Authors:  J H Shih; T A Louis
Journal:  Biometrics       Date:  1995-12       Impact factor: 2.571

7.  Adjustment for competing risk in kin-cohort estimation.

Authors:  Nilanjan Chatterjee; Patricia Hartge; Sholom Wacholder
Journal:  Genet Epidemiol       Date:  2003-12       Impact factor: 2.135

8.  Analysis of age of onset data from case-control family studies.

Authors:  H Li; P Yang; A G Schwartz
Journal:  Biometrics       Date:  1998-09       Impact factor: 2.571

  8 in total
  6 in total

1.  Measuring early or late dependence for bivariate lifetimes of twins.

Authors:  Thomas H Scheike; Klaus K Holst; Jacob B Hjelmborg
Journal:  Lifetime Data Anal       Date:  2014-09-04       Impact factor: 1.588

2.  Methods for generating paired competing risks data.

Authors:  Ruta Brazauskas; Jennifer Le-Rademacher
Journal:  Comput Methods Programs Biomed       Date:  2016-07-25       Impact factor: 5.428

3.  Estimation of time-dependent association for bivariate failure times in the presence of a competing risk.

Authors:  Jing Ning; Karen Bandeen-Roche
Journal:  Biometrics       Date:  2013-12-18       Impact factor: 2.571

4.  Modelling the type and timing of consecutive events: application to predicting preterm birth in repeated pregnancies.

Authors:  Joanna H Shih; Paul S Albert; Pauline Mendola; Katherine L Grantz
Journal:  J R Stat Soc Ser C Appl Stat       Date:  2015-04-03       Impact factor: 1.864

5.  Semicompeting risks in aging research: methods, issues and needs.

Authors:  Ravi Varadhan; Qian-Li Xue; Karen Bandeen-Roche
Journal:  Lifetime Data Anal       Date:  2014-04-12       Impact factor: 1.588

6.  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
  6 in total

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