Estimation of the Base Hazard Function by Bootstrapping

This thesis examines the techniques in estimating the base hazard function by bootstrapping. The base hazard function is a crucial part of survival analysis. It is used to construct an estimate of the proportional hazard model for every individual. As in many methods for analysing survival data,...

Full description

Saved in:
Bibliographic Details
Main Author: Arlin, Rifina
Format: Thesis
Language:en
English
Published: 2004
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/30/1/1000548962_t_FS_2004_2.pdf
http://psasir.upm.edu.my/id/eprint/30/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832509480352350208
author Arlin, Rifina
author_facet Arlin, Rifina
author_sort Arlin, Rifina
building UPM Library
collection Institutional Repository
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
continent Asia
country Malaysia
description This thesis examines the techniques in estimating the base hazard function by bootstrapping. The base hazard function is a crucial part of survival analysis. It is used to construct an estimate of the proportional hazard model for every individual. As in many methods for analysing survival data, this thesis utilizes the nonparametric model of Kaplan Meier, the Cox proportional hazard regression of the parametric model and the data validation by bootstrapping. The Cox proportional hazard regression is used to model failure time data in censored data. Bootstrapping schemes validate the models based on Efron’s technique and the data samples are generated using S-Plus programme randomizer. v Assessment of this method is investigated by performing simulation study on generated data. Two simulation studies are carried out to confirm the suitability of the models. Graph obtained from the results indicated that bootstrapping provides an alternative method in constructing estimation for base hazard function. This method is good alternative for a distribution-free approach with a minimal set of data.
format Thesis
id my.upm.eprints-30
institution Universiti Putra Malaysia
language en
English
publishDate 2004
record_format eprints
spelling my.upm.eprints-302013-05-27T06:45:08Z http://psasir.upm.edu.my/id/eprint/30/ Estimation of the Base Hazard Function by Bootstrapping Arlin, Rifina This thesis examines the techniques in estimating the base hazard function by bootstrapping. The base hazard function is a crucial part of survival analysis. It is used to construct an estimate of the proportional hazard model for every individual. As in many methods for analysing survival data, this thesis utilizes the nonparametric model of Kaplan Meier, the Cox proportional hazard regression of the parametric model and the data validation by bootstrapping. The Cox proportional hazard regression is used to model failure time data in censored data. Bootstrapping schemes validate the models based on Efron’s technique and the data samples are generated using S-Plus programme randomizer. v Assessment of this method is investigated by performing simulation study on generated data. Two simulation studies are carried out to confirm the suitability of the models. Graph obtained from the results indicated that bootstrapping provides an alternative method in constructing estimation for base hazard function. This method is good alternative for a distribution-free approach with a minimal set of data. 2004-12 Thesis NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/30/1/1000548962_t_FS_2004_2.pdf Arlin, Rifina (2004) Estimation of the Base Hazard Function by Bootstrapping. Masters thesis, Universiti Putra Malaysia. Bootstrap (Statistics) English
spellingShingle Bootstrap (Statistics)
Arlin, Rifina
Estimation of the Base Hazard Function by Bootstrapping
title Estimation of the Base Hazard Function by Bootstrapping
title_full Estimation of the Base Hazard Function by Bootstrapping
title_fullStr Estimation of the Base Hazard Function by Bootstrapping
title_full_unstemmed Estimation of the Base Hazard Function by Bootstrapping
title_short Estimation of the Base Hazard Function by Bootstrapping
title_sort estimation of the base hazard function by bootstrapping
topic Bootstrap (Statistics)
url http://psasir.upm.edu.my/id/eprint/30/1/1000548962_t_FS_2004_2.pdf
http://psasir.upm.edu.my/id/eprint/30/
url_provider http://psasir.upm.edu.my/