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Parameter estimation of mean survival time using parametric and nonparametric approaches

Exploring health related quality of life is usually the focus of survival studies. Using the data of breast cancer, an investigation about the mean survival time of cancer patients was explored, using the nonparametric and parametric modeling approaches. The Kaplan-Meier method and three of the dist...

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Main Author: Ismail, Hasnah
Format: Thesis
Language:English
Published: 2011
Subjects:
R Medicine (General)
Online Access:http://eprints.utm.my/id/eprint/47958/25/HasnahIsmailMFS2011.pdf
http://eprints.utm.my/id/eprint/47958/
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spelling my.utm.479582018-05-30T03:39:33Z http://eprints.utm.my/id/eprint/47958/ Parameter estimation of mean survival time using parametric and nonparametric approaches Ismail, Hasnah R Medicine (General) Exploring health related quality of life is usually the focus of survival studies. Using the data of breast cancer, an investigation about the mean survival time of cancer patients was explored, using the nonparametric and parametric modeling approaches. The Kaplan-Meier method and three of the distribution were considered in this study which is Weibull distribution, exponential distribution and lognormal distribution. Other than that, the Anderson Darling test is used to test if a sample data came from a population with a specific distribution. Based on the result, the data came from a Weibull distribution because the distribution has the minimum Anderson-Darling (adjusted) value. The simulation study has been done to see the efficiency of parametric and nonparametric estimator by observing the Relative Efficiency (RE) values. The results show that parametric estimator provide better estimates than the Kaplan-Meier estimator if the correct distribution is assumed. 2011-08 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/47958/25/HasnahIsmailMFS2011.pdf Ismail, Hasnah (2011) Parameter estimation of mean survival time using parametric and nonparametric approaches. Masters thesis, Universiti Teknologi Malaysia, Faculty of Science.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic R Medicine (General)
spellingShingle R Medicine (General)
Ismail, Hasnah
Parameter estimation of mean survival time using parametric and nonparametric approaches
description Exploring health related quality of life is usually the focus of survival studies. Using the data of breast cancer, an investigation about the mean survival time of cancer patients was explored, using the nonparametric and parametric modeling approaches. The Kaplan-Meier method and three of the distribution were considered in this study which is Weibull distribution, exponential distribution and lognormal distribution. Other than that, the Anderson Darling test is used to test if a sample data came from a population with a specific distribution. Based on the result, the data came from a Weibull distribution because the distribution has the minimum Anderson-Darling (adjusted) value. The simulation study has been done to see the efficiency of parametric and nonparametric estimator by observing the Relative Efficiency (RE) values. The results show that parametric estimator provide better estimates than the Kaplan-Meier estimator if the correct distribution is assumed.
format Thesis
author Ismail, Hasnah
author_facet Ismail, Hasnah
author_sort Ismail, Hasnah
title Parameter estimation of mean survival time using parametric and nonparametric approaches
title_short Parameter estimation of mean survival time using parametric and nonparametric approaches
title_full Parameter estimation of mean survival time using parametric and nonparametric approaches
title_fullStr Parameter estimation of mean survival time using parametric and nonparametric approaches
title_full_unstemmed Parameter estimation of mean survival time using parametric and nonparametric approaches
title_sort parameter estimation of mean survival time using parametric and nonparametric approaches
publishDate 2011
url http://eprints.utm.my/id/eprint/47958/25/HasnahIsmailMFS2011.pdf
http://eprints.utm.my/id/eprint/47958/
_version_ 1643652416997949440
score 13.211869

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