Genetic Mixed Effects Models for Twin Survival Data

- Journal title : Communications for Statistical Applications and Methods
- Volume 12, Issue 3, 2005, pp.759-771
- Publisher : The Korean Statistical Society
- DOI : 10.5351/CKSS.2005.12.3.759

Title & Authors

Genetic Mixed Effects Models for Twin Survival Data

Ha, Il-Do; Noh, Maengseok; Yoon, Sangchul;

Ha, Il-Do; Noh, Maengseok; Yoon, Sangchul;

Abstract

Twin studies are one of the most widely used methods for quantifying the influence of genetic and environmental factors on some traits such as a life span or a disease. In this paper we propose a genetic mixed linear model for twin survival time data, which allows us to separate the genetic component from the environmental component. Inferences are based upon the hierarchical likelihood (h-likelihood), which provides a statistically efficient and simple unified framework for various random-effect models. We also propose a simple and fast computation method for analyzing a large data set on twin survival study. The new method is illustrated to the survival data in Swedish Twin Registry. A simulation study is carried out to evaluate the performance.

Keywords

Environment effect;Genetic effect;Hierarchical likelihood;Random effects;

Language

Korean

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