Interval Mapping Using Nonparametric Accelerated Failure Time Cure Model

被引：0

作者：

Bilgili, Devrim ^{[1
]}

Ebrahimi, Nader ^{[2
]}

机构：

[1] Univ North Florida, Dept Math & Stat, 1 UNF Dr, Jacksonville, FL 32224 USA

[2] Northern Illinois Univ, Dept Math Sci, Stat Div, De Kalb, IL 60115 USA

来源：

JOURNAL OF STATISTICAL THEORY AND APPLICATIONS | 2013年 / 12卷 / 04期

关键词：

Survival Function; Interval Mapping; AFT Cure Model; LOD score; EM; Imputation;

D O I：

10.2991/jsta.2013.12.4.6

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Many important problems in evolutionary biology begin with observations of phenotypic variation. Suppose time to an event-data are used to map quantitative trait loci (QTL) and underlying population is a mixture of susceptible and non-susceptible subjects. If the cured subjects are ignored we may fail to detect the responsible genetic factors or find false significant locations. In this article, we propose a nonparametric accelerated failure time cure model which takes cured subjects as well to model time to an event.

引用

页码：392 / 402

页数：11

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