Parametric tests for partly interval-censored failure time data under Weibull distribution via multiple imputation

The statistical problem considered in this article is the parametric treatment comparison when partly interval-censored failure time data exist. Partly interval-censored failure time data are composed of exact observations and interval-censored observations. This phenomenon often occurs in clinical...

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Main Authors: Mohammad Alharpy, Azzah, Ibrahim, Noor Akma
Format: Article
Language:English
English
Published: Asian Network for Scientific Information 2013
Online Access:http://psasir.upm.edu.my/id/eprint/30219/
http://psasir.upm.edu.my/id/eprint/30219/1/Parametric%20tests%20for%20partly%20interval.pdf
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author Mohammad Alharpy, Azzah
Ibrahim, Noor Akma
author_facet Mohammad Alharpy, Azzah
Ibrahim, Noor Akma
author_sort Mohammad Alharpy, Azzah
building UPM Institutional Repository
collection Online Access
description The statistical problem considered in this article is the parametric treatment comparison when partly interval-censored failure time data exist. Partly interval-censored failure time data are composed of exact observations and interval-censored observations. This phenomenon often occurs in clinical trials and health studies that require periodic following up with patients. The authors constructed a score test and likelihood ratio test for this type of failure time data under Weibull distributions using multiple imputation technique. A simulation study and a modified secondary data set from breast cancer study are used to assess the proposed test and illustrate the differences between the two tests. The results indicate that the presented procedure works well for both tests, but the likelihood ratio test is better than the score test in certain situations.
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language English
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last_indexed 2025-11-15T09:05:32Z
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spelling upm-302192015-10-08T06:43:20Z http://psasir.upm.edu.my/id/eprint/30219/ Parametric tests for partly interval-censored failure time data under Weibull distribution via multiple imputation Mohammad Alharpy, Azzah Ibrahim, Noor Akma The statistical problem considered in this article is the parametric treatment comparison when partly interval-censored failure time data exist. Partly interval-censored failure time data are composed of exact observations and interval-censored observations. This phenomenon often occurs in clinical trials and health studies that require periodic following up with patients. The authors constructed a score test and likelihood ratio test for this type of failure time data under Weibull distributions using multiple imputation technique. A simulation study and a modified secondary data set from breast cancer study are used to assess the proposed test and illustrate the differences between the two tests. The results indicate that the presented procedure works well for both tests, but the likelihood ratio test is better than the score test in certain situations. Asian Network for Scientific Information 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/30219/1/Parametric%20tests%20for%20partly%20interval.pdf Mohammad Alharpy, Azzah and Ibrahim, Noor Akma (2013) Parametric tests for partly interval-censored failure time data under Weibull distribution via multiple imputation. Journal of Applied Sciences, 13 (4). pp. 621-626. ISSN 1812-5654; ESSN: 1812-5662 http://scialert.net/archivedetails.php?issn=1812-5654&issueno=204 10.3923/jas.2013.621.626 English
spellingShingle Mohammad Alharpy, Azzah
Ibrahim, Noor Akma
Parametric tests for partly interval-censored failure time data under Weibull distribution via multiple imputation
title Parametric tests for partly interval-censored failure time data under Weibull distribution via multiple imputation
title_full Parametric tests for partly interval-censored failure time data under Weibull distribution via multiple imputation
title_fullStr Parametric tests for partly interval-censored failure time data under Weibull distribution via multiple imputation
title_full_unstemmed Parametric tests for partly interval-censored failure time data under Weibull distribution via multiple imputation
title_short Parametric tests for partly interval-censored failure time data under Weibull distribution via multiple imputation
title_sort parametric tests for partly interval-censored failure time data under weibull distribution via multiple imputation
url http://psasir.upm.edu.my/id/eprint/30219/
http://psasir.upm.edu.my/id/eprint/30219/
http://psasir.upm.edu.my/id/eprint/30219/
http://psasir.upm.edu.my/id/eprint/30219/1/Parametric%20tests%20for%20partly%20interval.pdf