Literature DB >> 21046240

A hierarchical frailty model applied to two-generation melanoma data.

Tron Anders Moger1, Marion Haugen, Benjamin H K Yip, Håkon K Gjessing, Ornulf Borgan.   

Abstract

We present a hierarchical frailty model based on distributions derived from non-negative Lévy processes. The model may be applied to data with several levels of dependence, such as family data or other general clusters, and is an alternative to additive frailty models. We present several parametric examples of the model, and properties such as expected values, variance and covariance. The model is applied to a case-cohort sample of age at onset for melanoma from the Swedish Multi-Generation Register, organized in nuclear families of parents and one or two children. We compare the genetic component of the total frailty variance to the common environmental term, and estimate the effect of birth cohort and gender.

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Year:  2010        PMID: 21046240     DOI: 10.1007/s10985-010-9188-3

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


  10 in total

1.  Estimation of multivariate frailty models using penalized partial likelihood.

Authors:  S Ripatti; J Palmgren
Journal:  Biometrics       Date:  2000-12       Impact factor: 2.571

2.  Estimation of genetic and environmental factors for binary traits using family data.

Authors:  Y Pawitan; M Reilly; E Nilsson; S Cnattingius; P Lichtenstein
Journal:  Stat Med       Date:  2004-02-15       Impact factor: 2.373

3.  A distribution for multivariate frailty based on the compound Poisson distribution with random scale.

Authors:  Tron Anders Moger; Odd O Aalen
Journal:  Lifetime Data Anal       Date:  2005-03       Impact factor: 1.588

4.  Case-cohort methods for survival data on families from routine registers.

Authors:  Tron Anders Moger; Yudi Pawitan; Ornulf Borgan
Journal:  Stat Med       Date:  2008-03-30       Impact factor: 2.373

5.  Biometrical modelling in genetics: are complex traits too complex?

Authors:  Håkon K Gjessing; Rolv Terje Lie
Journal:  Stat Methods Med Res       Date:  2007-09-13       Impact factor: 3.021

6.  An additive frailty model for correlated life times.

Authors:  J H Petersen
Journal:  Biometrics       Date:  1998-06       Impact factor: 2.571

7.  Multilevel models for survival analysis with random effects.

Authors:  K K Yau
Journal:  Biometrics       Date:  2001-03       Impact factor: 2.571

8.  Rapid increase in diagnosis of cutaneous melanoma in situ in Sweden, 1968-1992.

Authors:  M Thörn; F Pontén; A M Johansson; R Bergström
Journal:  Cancer Detect Prev       Date:  1998

9.  Familial and attributable risks in cutaneous melanoma: effects of proband and age.

Authors:  Kari Hemminki; Hong Zhang; Kamila Czene
Journal:  J Invest Dermatol       Date:  2003-02       Impact factor: 8.551

10.  Risk of cutaneous melanoma associated with a family history of the disease. The International Melanoma Analysis Group (IMAGE).

Authors:  D Ford; J M Bliss; A J Swerdlow; B K Armstrong; S Franceschi; A Green; E A Holly; T Mack; R M MacKie; A Osterlind
Journal:  Int J Cancer       Date:  1995-08-09       Impact factor: 7.396

  10 in total
  2 in total

Review 1.  Understanding variation in disease risk: the elusive concept of frailty.

Authors:  Odd O Aalen; Morten Valberg; Tom Grotmol; Steinar Tretli
Journal:  Int J Epidemiol       Date:  2014-12-12       Impact factor: 7.196

2.  The surprising implications of familial association in disease risk.

Authors:  Morten Valberg; Mats Julius Stensrud; Odd O Aalen
Journal:  BMC Public Health       Date:  2018-01-15       Impact factor: 3.295

  2 in total

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