Simplifying multivariate survival analysis using global score test methodology

In clinical trials, the main purpose is often to compare efficacy between experimental and control treatments.Treatment comparisons often involve multiple endpoints, and this situation further complicates the analysis of survival data. In the case of tumor patients, endpoints concerning survival tim...

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Main Authors: Zain, Zakiyah, Aziz, Nazrina, Ahmad, Yuhaniz
Format: Conference or Workshop Item
Language:English
Published: 2015
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Online Access:http://repo.uum.edu.my/16798/1/3.pdf
http://repo.uum.edu.my/16798/
http://doi.org/10.1063/1.4937019
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spelling my.uum.repo.167982016-04-28T02:07:06Z http://repo.uum.edu.my/16798/ Simplifying multivariate survival analysis using global score test methodology Zain, Zakiyah Aziz, Nazrina Ahmad, Yuhaniz QA75 Electronic computers. Computer science In clinical trials, the main purpose is often to compare efficacy between experimental and control treatments.Treatment comparisons often involve multiple endpoints, and this situation further complicates the analysis of survival data. In the case of tumor patients, endpoints concerning survival times include: times from tumor removal until the first, the second and the third tumor recurrences, and time to death.For each patient, these endpoints are correlated, and the estimation of the correlation between two score statistics is fundamental in derivation of overall treatment advantage. In this paper, the bi variate survival analysis method using the global score test methodology is extended to multivariate setting. 2015-12-11 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/16798/1/3.pdf Zain, Zakiyah and Aziz, Nazrina and Ahmad, Yuhaniz (2015) Simplifying multivariate survival analysis using global score test methodology. In: 2nd Innovation and Analytics Conference & Exhibition (IACE 2015), 29 September –1 October 2015, TH Hotel, Alor Setar, Kedah, Malaysia. http://doi.org/10.1063/1.4937019 doi:10.1063/1.4937019
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Zain, Zakiyah
Aziz, Nazrina
Ahmad, Yuhaniz
Simplifying multivariate survival analysis using global score test methodology
description In clinical trials, the main purpose is often to compare efficacy between experimental and control treatments.Treatment comparisons often involve multiple endpoints, and this situation further complicates the analysis of survival data. In the case of tumor patients, endpoints concerning survival times include: times from tumor removal until the first, the second and the third tumor recurrences, and time to death.For each patient, these endpoints are correlated, and the estimation of the correlation between two score statistics is fundamental in derivation of overall treatment advantage. In this paper, the bi variate survival analysis method using the global score test methodology is extended to multivariate setting.
format Conference or Workshop Item
author Zain, Zakiyah
Aziz, Nazrina
Ahmad, Yuhaniz
author_facet Zain, Zakiyah
Aziz, Nazrina
Ahmad, Yuhaniz
author_sort Zain, Zakiyah
title Simplifying multivariate survival analysis using global score test methodology
title_short Simplifying multivariate survival analysis using global score test methodology
title_full Simplifying multivariate survival analysis using global score test methodology
title_fullStr Simplifying multivariate survival analysis using global score test methodology
title_full_unstemmed Simplifying multivariate survival analysis using global score test methodology
title_sort simplifying multivariate survival analysis using global score test methodology
publishDate 2015
url http://repo.uum.edu.my/16798/1/3.pdf
http://repo.uum.edu.my/16798/
http://doi.org/10.1063/1.4937019
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score 13.244413