Interval Mapping Using Nonparametric Accelerated Failure Time Cure Model

Interval Mapping Using Nonparametric Accelerated Failure Time Cure Model

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 fa...

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Bibliographic Details
Main Authors: Devrim Bilgili, Nader Ebrahimi
Format: Article
Language:English
Published: Atlantis Press 2013-12-01
Series:Journal of Statistical Theory and Applications (JSTA)
Subjects:
Survival Function
Interval Mapping
AFT Cure Model
LOD score
EM
Imputation
Online Access:https://www.atlantis-press.com/article/11328.pdf
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spelling doaj-50df1fad716a4032b63e1ecaf34f6a0b2020-11-24T23:55:55ZengAtlantis PressJournal of Statistical Theory and Applications (JSTA)1538-78872013-12-0112410.2991/jsta.2013.12.4.6Interval Mapping Using Nonparametric Accelerated Failure Time Cure ModelDevrim BilgiliNader EbrahimiMany 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.https://www.atlantis-press.com/article/11328.pdfSurvival FunctionInterval MappingAFT Cure ModelLOD scoreEMImputation
collection DOAJ
language English
format Article
sources DOAJ
author Devrim Bilgili
Nader Ebrahimi
spellingShingle Devrim Bilgili
Nader Ebrahimi
Interval Mapping Using Nonparametric Accelerated Failure Time Cure Model
Journal of Statistical Theory and Applications (JSTA)
Survival Function
Interval Mapping
AFT Cure Model
LOD score
EM
Imputation
author_facet Devrim Bilgili
Nader Ebrahimi
author_sort Devrim Bilgili
title Interval Mapping Using Nonparametric Accelerated Failure Time Cure Model
title_short Interval Mapping Using Nonparametric Accelerated Failure Time Cure Model
title_full Interval Mapping Using Nonparametric Accelerated Failure Time Cure Model
title_fullStr Interval Mapping Using Nonparametric Accelerated Failure Time Cure Model
title_full_unstemmed Interval Mapping Using Nonparametric Accelerated Failure Time Cure Model
title_sort interval mapping using nonparametric accelerated failure time cure model
publisher Atlantis Press
series Journal of Statistical Theory and Applications (JSTA)
issn 1538-7887
publishDate 2013-12-01
description 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.
topic Survival Function
Interval Mapping
AFT Cure Model
LOD score
EM
Imputation
url https://www.atlantis-press.com/article/11328.pdf
work_keys_str_mv AT devrimbilgili intervalmappingusingnonparametricacceleratedfailuretimecuremodel
AT naderebrahimi intervalmappingusingnonparametricacceleratedfailuretimecuremodel
_version_ 1725460672241729536

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