Bootstrap intervals in the presence of left-truncation, censoring and covariates with a parametric distribution
Left-truncated and censored survival data are commonly encountered in medical studies. However, traditional inferential methods that heavily rely on normality assumptions often fail when lifetimes of observations in a study are both truncated and censored. Thus, it is important to develop alternativ...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Penerbit Universiti Kebangsaan Malaysia
2017
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Online Access: | http://journalarticle.ukm.my/11723/1/31%20Thirunanthini.pdf |
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author | Thirunanthini Manoharan, Jayanthi Arasan, Habshah Midi, Mohd Bakri Adam, |
author_facet | Thirunanthini Manoharan, Jayanthi Arasan, Habshah Midi, Mohd Bakri Adam, |
author_sort | Thirunanthini Manoharan, |
collection | UKM |
description | Left-truncated and censored survival data are commonly encountered in medical studies. However, traditional inferential methods that heavily rely on normality assumptions often fail when lifetimes of observations in a study are both truncated and censored. Thus, it is important to develop alternative inferential procedures that ease the assumptions of normality and unconventionally relies on the distribution of data in hand. In this research, a three parameter log-normal parametric survival model was extended to incorporate left-truncated and right censored medical data with covariates. Following that, bootstrap inferential procedures using non-parametric and parametric bootstrap samples were applied to the parameters of this model. The performance of the parameter estimates was assessed at various combinations of truncation and censoring levels via a simulation study. The recommended bootstrap intervals were applied to a lung cancer survival data. |
first_indexed | 2024-03-06T04:19:28Z |
format | Article |
id | ukm.eprints-11723 |
institution | Universiti Kebangsaan Malaysia |
language | English |
last_indexed | 2024-03-06T04:19:28Z |
publishDate | 2017 |
publisher | Penerbit Universiti Kebangsaan Malaysia |
record_format | dspace |
spelling | ukm.eprints-117232018-05-30T00:02:33Z http://journalarticle.ukm.my/11723/ Bootstrap intervals in the presence of left-truncation, censoring and covariates with a parametric distribution Thirunanthini Manoharan, Jayanthi Arasan, Habshah Midi, Mohd Bakri Adam, Left-truncated and censored survival data are commonly encountered in medical studies. However, traditional inferential methods that heavily rely on normality assumptions often fail when lifetimes of observations in a study are both truncated and censored. Thus, it is important to develop alternative inferential procedures that ease the assumptions of normality and unconventionally relies on the distribution of data in hand. In this research, a three parameter log-normal parametric survival model was extended to incorporate left-truncated and right censored medical data with covariates. Following that, bootstrap inferential procedures using non-parametric and parametric bootstrap samples were applied to the parameters of this model. The performance of the parameter estimates was assessed at various combinations of truncation and censoring levels via a simulation study. The recommended bootstrap intervals were applied to a lung cancer survival data. Penerbit Universiti Kebangsaan Malaysia 2017-12 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/11723/1/31%20Thirunanthini.pdf Thirunanthini Manoharan, and Jayanthi Arasan, and Habshah Midi, and Mohd Bakri Adam, (2017) Bootstrap intervals in the presence of left-truncation, censoring and covariates with a parametric distribution. Sains Malaysiana, 46 (12). pp. 2529-2539. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol46num12_2017/contentsVol46num12_2017.htm |
spellingShingle | Thirunanthini Manoharan, Jayanthi Arasan, Habshah Midi, Mohd Bakri Adam, Bootstrap intervals in the presence of left-truncation, censoring and covariates with a parametric distribution |
title | Bootstrap intervals in the presence of left-truncation, censoring and covariates with a parametric distribution |
title_full | Bootstrap intervals in the presence of left-truncation, censoring and covariates with a parametric distribution |
title_fullStr | Bootstrap intervals in the presence of left-truncation, censoring and covariates with a parametric distribution |
title_full_unstemmed | Bootstrap intervals in the presence of left-truncation, censoring and covariates with a parametric distribution |
title_short | Bootstrap intervals in the presence of left-truncation, censoring and covariates with a parametric distribution |
title_sort | bootstrap intervals in the presence of left truncation censoring and covariates with a parametric distribution |
url | http://journalarticle.ukm.my/11723/1/31%20Thirunanthini.pdf |
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