Literature DB >> 19937379

A frailty model for (interval) censored family survival data, applied to the age at onset of non-physical problems.

M A Jonker1, D I Boomsma.   

Abstract

Family survival data can be used to estimate the degree of genetic and environmental contributions to the age at onset of a disease or of a specific event in life. The data can be modeled with a correlated frailty model in which the frailty variable accounts for the degree of kinship within the family. The heritability (degree of heredity) of the age at a specific event in life (or the onset of a disease) is usually defined as the proportion of variance of the survival age that is associated with genetic effects. If the survival age is (interval) censored, heritability as usually defined cannot be estimated. Instead, it is defined as the proportion of variance of the frailty associated with genetic effects. In this paper we describe a correlated frailty model to estimate the heritability and the degree of environmental effects on the age at which individuals contact a social worker for the first time and to test whether there is a difference between the survival functions of this age for twins and non-twins.

Mesh:

Year:  2009        PMID: 19937379     DOI: 10.1007/s10985-009-9141-5

Source DB:  PubMed          Journal:  Lifetime Data Anal        ISSN: 1380-7870            Impact factor:   1.588


  6 in total

1.  Genetic factors in susceptibility to death: a comparative analysis of bivariate survival models.

Authors:  A I Yashin; A Z Begun; I A Iachine
Journal:  J Epidemiol Biostat       Date:  1999

Review 2.  Netherlands Twin Register: a focus on longitudinal research.

Authors:  Dorret I Boomsma; Jacqueline M Vink; Toos C E M van Beijsterveldt; Eco J C de Geus; A Leo Beem; Elles J C M Mulder; Eske M Derks; Harriette Riese; Gonneke A H M Willemsen; Meike Bartels; Mireille van den Berg; Nina H M Kupper; Tinca J C Polderman; Danielle Posthuma; Marjolein J H Rietveld; Janine H Stubbe; Louise I Knol; Therese Stroet; G Caroline M van Baal
Journal:  Twin Res       Date:  2002-10

3.  Correlated individual frailty: an advantageous approach to survival analysis of bivariate data.

Authors:  A I Yashin; J W Vaupel; I A Iachine
Journal:  Math Popul Stud       Date:  1995       Impact factor: 0.720

4.  Netherlands Twin Register: from twins to twin families.

Authors:  Dorret I Boomsma; Eco J C de Geus; Jacqueline M Vink; Janine H Stubbe; Marijn A Distel; Jouke-Jan Hottenga; Danielle Posthuma; Toos C E M van Beijsterveldt; James J Hudziak; Meike Bartels; Gonneke Willemsen
Journal:  Twin Res Hum Genet       Date:  2006-12       Impact factor: 1.587

5.  Gamma frailty model for linkage analysis with application to interval-censored migraine data.

Authors:  M A Jonker; S Bhulai; D I Boomsma; R S L Ligthart; D Posthuma; A W Van der Vaart
Journal:  Biostatistics       Date:  2008-08-19       Impact factor: 5.899

6.  The impact of heterogeneity in individual frailty on the dynamics of mortality.

Authors:  J W Vaupel; K G Manton; E Stallard
Journal:  Demography       Date:  1979-08
  6 in total

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