Journal of Statistical Theory and Applications

Volume 12, Issue 4, December 2013, Pages 392 - 402

Interval Mapping Using Nonparametric Accelerated Failure Time Cure Model

Authors
Devrim Bilgili, Nader Ebrahimi
Corresponding Author
Devrim Bilgili
Received 29 October 2012, Accepted 9 August 2013, Available Online 1 December 2013.
DOI
10.2991/jsta.2013.12.4.6How to use a DOI?
Keywords
Survival Function, Interval Mapping, AFT Cure Model, LOD score, EM, Imputation
Abstract

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.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Statistical Theory and Applications
Volume-Issue
12 - 4
Pages
392 - 402
Publication Date
2013/12/01
ISSN (Online)
2214-1766
ISSN (Print)
1538-7887
DOI
10.2991/jsta.2013.12.4.6How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Devrim Bilgili
AU  - Nader Ebrahimi
PY  - 2013
DA  - 2013/12/01
TI  - Interval Mapping Using Nonparametric Accelerated Failure Time Cure Model
JO  - Journal of Statistical Theory and Applications
SP  - 392
EP  - 402
VL  - 12
IS  - 4
SN  - 2214-1766
UR  - https://doi.org/10.2991/jsta.2013.12.4.6
DO  - 10.2991/jsta.2013.12.4.6
ID  - Bilgili2013
ER  -