Literature DB >> 12290053

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

A I Yashin, J W Vaupel, I A Iachine.   

Abstract

"We develop a new model of bivariate survival based on the notion of correlated individual frailty. We analyze the properties of this model and suggest a new approach to the analysis of bivariate data that does not require a parametric specification--but permits estimation--of the form of the hazard function for individuals. We empirically demonstrate the advantages of the model in the statistical analysis of bivariate data." (SUMMARY IN FRE) excerpt

Keywords:  Data Analysis; Demographic Factors; Length Of Life; Models, Theoretical; Mortality; Population; Population Dynamics; Research Methodology; Statistical Studies; Studies; Survivorship; World

Mesh：

Year:  1995        PMID： 12290053     DOI： 10.1080/08898489509525394

Source DB:  PubMed          Journal:  Math Popul Stud        ISSN： 0889-8480            Impact factor:   0.720


  20 in total

1.  What difference does the dependence between durations make? Insights for population studies of aging.

Authors:  A I Yashin; I A Iachine
Journal:  Lifetime Data Anal       Date:  1999       Impact factor: 1.588

2.  Relation between aluminum concentrations in drinking water and Alzheimer's disease: an 8-year follow-up study.

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Journal:  Am J Epidemiol       Date:  2000-07-01       Impact factor: 4.897

3.  Longevity and correlated frailty in multigenerational families.

Authors:  Gilda Garibotti; Ken R Smith; Richard A Kerber; Kenneth M Boucher
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4.  A frailty model for (interval) censored family survival data, applied to the age at onset of non-physical problems.

Authors:  M A Jonker; D I Boomsma
Journal:  Lifetime Data Anal       Date:  2009-11-25       Impact factor: 1.588

5.  Robust age at onset linkage analysis in nuclear families.

Authors:  Andrea Callegaro; J C van Houwelingen; J J Houwing-Duistermaat
Journal:  Hum Hered       Date:  2009-12-04       Impact factor: 0.444

6.  Fast Algorithms for Conducting Large-Scale GWAS of Age-at-Onset Traits Using Cox Mixed-Effects Models.

Authors:  Liang He; Alexander M Kulminski
Journal:  Genetics       Date:  2020-03-04       Impact factor: 4.562

7.  Penalized survival models for the analysis of alternating recurrent event data.

Authors:  Lili Wang; Kevin He; Douglas E Schaubel
Journal:  Biometrics       Date:  2019-11-11       Impact factor: 2.571

8.  Trade-off between cancer and aging: what role do other diseases play? Evidence from experimental and human population studies.

Authors:  Anatoli I Yashin; Svetlana V Ukraintseva; Igor V Akushevich; Konstantin G Arbeev; Alexander Kulminski; Lucy Akushevich
Journal:  Mech Ageing Dev       Date:  2008-03-25       Impact factor: 5.432

Review 9.  How the effects of aging and stresses of life are integrated in mortality rates: insights for genetic studies of human health and longevity.

Authors:  Anatoliy I Yashin; Konstantin G Arbeev; Liubov S Arbeeva; Deqing Wu; Igor Akushevich; Mikhail Kovtun; Arseniy Yashkin; Alexander Kulminski; Irina Culminskaya; Eric Stallard; Miaozhu Li; Svetlana V Ukraintseva
Journal:  Biogerontology       Date:  2015-08-18       Impact factor: 4.277

10.  A bivariate survival model with compound Poisson frailty.

Authors:  A Wienke; S Ripatti; J Palmgren; A Yashin
Journal:  Stat Med       Date:  2010-01-30       Impact factor: 2.373
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