Application of Self-Contained Subsets Method to Estimation of Twin Concordance for Dichotomous Traits

碩士 === 國立臺灣大學 === 流行病學研究所 === 88 === Twin studies have wide applications in human behavior genetics. For binary traits there are several measures of association for the twin data, concordance is one of these measures. Estimation of concordance is useful in genetic counseling and inference of the ge...

Full description

Bibliographic Details
Main Authors: Yea-Li Hwang, 黃雅莉
Other Authors: 戴 政
Format: Others
Language:zh-TW
Published: 2000
Online Access:http://ndltd.ncl.edu.tw/handle/10644980140736707597
id ndltd-TW-088NTU01544003
record_format oai_dc
spelling ndltd-TW-088NTU015440032016-01-29T04:18:53Z http://ndltd.ncl.edu.tw/handle/10644980140736707597 Application of Self-Contained Subsets Method to Estimation of Twin Concordance for Dichotomous Traits 應用自足分組法估計二分類性狀之雙胞胎一致性 Yea-Li Hwang 黃雅莉 碩士 國立臺灣大學 流行病學研究所 88 Twin studies have wide applications in human behavior genetics. For binary traits there are several measures of association for the twin data, concordance is one of these measures. Estimation of concordance is useful in genetic counseling and inference of the genetic effect for a complex trait. There are two major types of concordance, pairwise concordance and casewise concordance. Currently the likelihood method is the principal approach to estimate the twin concordances. However, the direct derivation procedure for the estimates and its variances is very complicated. Based on the self-contained subsets method and the delta method, here we propose a direct and easier method for estimation of concordances and the variances. Basically, our results provide the same answer as that from the likelihood method. 戴 政 蕭 朱 杏 2000 學位論文 ; thesis 77 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺灣大學 === 流行病學研究所 === 88 === Twin studies have wide applications in human behavior genetics. For binary traits there are several measures of association for the twin data, concordance is one of these measures. Estimation of concordance is useful in genetic counseling and inference of the genetic effect for a complex trait. There are two major types of concordance, pairwise concordance and casewise concordance. Currently the likelihood method is the principal approach to estimate the twin concordances. However, the direct derivation procedure for the estimates and its variances is very complicated. Based on the self-contained subsets method and the delta method, here we propose a direct and easier method for estimation of concordances and the variances. Basically, our results provide the same answer as that from the likelihood method.
author2 戴 政
author_facet 戴 政
Yea-Li Hwang
黃雅莉
author Yea-Li Hwang
黃雅莉
spellingShingle Yea-Li Hwang
黃雅莉
Application of Self-Contained Subsets Method to Estimation of Twin Concordance for Dichotomous Traits
author_sort Yea-Li Hwang
title Application of Self-Contained Subsets Method to Estimation of Twin Concordance for Dichotomous Traits
title_short Application of Self-Contained Subsets Method to Estimation of Twin Concordance for Dichotomous Traits
title_full Application of Self-Contained Subsets Method to Estimation of Twin Concordance for Dichotomous Traits
title_fullStr Application of Self-Contained Subsets Method to Estimation of Twin Concordance for Dichotomous Traits
title_full_unstemmed Application of Self-Contained Subsets Method to Estimation of Twin Concordance for Dichotomous Traits
title_sort application of self-contained subsets method to estimation of twin concordance for dichotomous traits
publishDate 2000
url http://ndltd.ncl.edu.tw/handle/10644980140736707597
work_keys_str_mv AT yealihwang applicationofselfcontainedsubsetsmethodtoestimationoftwinconcordancefordichotomoustraits
AT huángyǎlì applicationofselfcontainedsubsetsmethodtoestimationoftwinconcordancefordichotomoustraits
AT yealihwang yīngyòngzìzúfēnzǔfǎgūjìèrfēnlèixìngzhuàngzhīshuāngbāotāiyīzhìxìng
AT huángyǎlì yīngyòngzìzúfēnzǔfǎgūjìèrfēnlèixìngzhuàngzhīshuāngbāotāiyīzhìxìng
_version_ 1718167837955063808