𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Genetic analysis of durations: Correlated frailty model applied to survival of Danish twins

✍ Scribed by Prof. Anatoli I. Yashin; Ivan A. Iachine


Book ID
102844688
Publisher
John Wiley and Sons
Year
1995
Tongue
English
Weight
642 KB
Volume
12
Category
Article
ISSN
0741-0395

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

Population studies of changes in human morbidity and mortality require models which take into account the influence of genetic and environmental factors on life‐related durations, such as age at onset of the disease or disability, age at death, etc. In this paper we show how a bivariate survival model based on the concept of correlated individual frailty can be used for the genetic analysis of durations. Six genetic models of frailty are considered and applied to Danish twin survival data. The results of statistical analysis allow us to conclude that at least 50% of variability in individual frailty is determined by environmental factors. The approach suggests a method of estimation of the lower bound for the biological limit of human longevity. Directions for further research are discussed. Β©1995 Wiley‐Liss, Inc.


πŸ“œ SIMILAR VOLUMES


Bivariate survival models for analysis o
✍ Duncan C. Thomas; Bryan Langholz; Wendy Mack; Birgitta Floderus; D. C. Rao; G. P πŸ“‚ Article πŸ“… 1990 πŸ› John Wiley and Sons 🌐 English βš– 939 KB

Classic methods in genetics for the analysis of binary attributes, based on an assumption of a "threshold" on a normally distributed latent variable called "liability," estimate the strength of genetic and environmental effects from differences in correlations between relatives of differing genetic

Applied Survival Analysis: Regression Mo
✍ David W. Hosmer Jr., Stanley Lemeshow πŸ“‚ Library πŸ“… 1999 πŸ› Wiley-Interscience 🌐 English βš– 4 MB

A textbook for an introductory course in statistical methods for analyzing data typically encountered in health related studies that include events involving an element of time. Assumes previous courses in linear and logical regression. Emphasizes practical applications rather than mathematical theo