Cover Image

Parametric survival model in the presence of left-truncation and case-k interval censoring with fixed covariate

The purpose of this study is to evaluate the performance of parametric survival model in the presence of left-truncation and case-k interval censoring where individuals are monitored periodically with fixed k-inspection times and the event of interest occurs between any two following inspection tim...

Full description

Saved in:
Bibliographic Details
Main Authors: Arasan, Jayanthi, Midi, Habshah, Adam, Mohd Bakri, Manoharan, Thirunanthini
Format: Article
Language:English
Published: Persatuan Sains Matematik Malaysia (PERSAMA) 2015
Online Access:http://psasir.upm.edu.my/id/eprint/45740/1/CASE.pdf
http://psasir.upm.edu.my/id/eprint/45740/
https://einspem.upm.edu.my/dismath/paper/2014/MMv.36(2)2014_38_50.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.45740
record_format eprints
spelling my.upm.eprints.457402021-01-20T17:40:26Z http://psasir.upm.edu.my/id/eprint/45740/ Parametric survival model in the presence of left-truncation and case-k interval censoring with fixed covariate Arasan, Jayanthi Midi, Habshah Adam, Mohd Bakri Manoharan, Thirunanthini The purpose of this study is to evaluate the performance of parametric survival model in the presence of left-truncation and case-k interval censoring where individuals are monitored periodically with fixed k-inspection times and the event of interest occurs between any two following inspection times. The log-normal distribution is extended to incorporate fixed covariate and the properties of bias, standard error (SE) and root mean square error (RMSE) were compared in the presence of low and high percentage of truncation with fixed width of inspection times. Also, the properties of bias, SE and RMSE were equally compared when the midpoint imputation technique were implemented. The simulation study indicates that the bias, SE and RMSE of the parameter estimates increases as the percentage of truncation and the width of the inspection times increases. Following that, a coverage probability study were implemented to study the performance of the Wald confidence interval method for the parameters of the log-normal distribution. The results from this study is equally applicable to the parameters of the log-logistic distribution which shares similar hazard rate with the log-normal distribution. Persatuan Sains Matematik Malaysia (PERSAMA) 2015 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/45740/1/CASE.pdf Arasan, Jayanthi and Midi, Habshah and Adam, Mohd Bakri and Manoharan, Thirunanthini (2015) Parametric survival model in the presence of left-truncation and case-k interval censoring with fixed covariate. Menemui Matematik (Discovering Mathematics), 36 (2). pp. 38-50. ISSN 2231-7023 https://einspem.upm.edu.my/dismath/paper/2014/MMv.36(2)2014_38_50.pdf
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The purpose of this study is to evaluate the performance of parametric survival model in the presence of left-truncation and case-k interval censoring where individuals are monitored periodically with fixed k-inspection times and the event of interest occurs between any two following inspection times. The log-normal distribution is extended to incorporate fixed covariate and the properties of bias, standard error (SE) and root mean square error (RMSE) were compared in the presence of low and high percentage of truncation with fixed width of inspection times. Also, the properties of bias, SE and RMSE were equally compared when the midpoint imputation technique were implemented. The simulation study indicates that the bias, SE and RMSE of the parameter estimates increases as the percentage of truncation and the width of the inspection times increases. Following that, a coverage probability study were implemented to study the performance of the Wald confidence interval method for the parameters of the log-normal distribution. The results from this study is equally applicable to the parameters of the log-logistic distribution which shares similar hazard rate with the log-normal distribution.
format Article
author Arasan, Jayanthi
Midi, Habshah
Adam, Mohd Bakri
Manoharan, Thirunanthini
spellingShingle Arasan, Jayanthi
Midi, Habshah
Adam, Mohd Bakri
Manoharan, Thirunanthini
Parametric survival model in the presence of left-truncation and case-k interval censoring with fixed covariate
author_facet Arasan, Jayanthi
Midi, Habshah
Adam, Mohd Bakri
Manoharan, Thirunanthini
author_sort Arasan, Jayanthi
title Parametric survival model in the presence of left-truncation and case-k interval censoring with fixed covariate
title_short Parametric survival model in the presence of left-truncation and case-k interval censoring with fixed covariate
title_full Parametric survival model in the presence of left-truncation and case-k interval censoring with fixed covariate
title_fullStr Parametric survival model in the presence of left-truncation and case-k interval censoring with fixed covariate
title_full_unstemmed Parametric survival model in the presence of left-truncation and case-k interval censoring with fixed covariate
title_sort parametric survival model in the presence of left-truncation and case-k interval censoring with fixed covariate
publisher Persatuan Sains Matematik Malaysia (PERSAMA)
publishDate 2015
url http://psasir.upm.edu.my/id/eprint/45740/1/CASE.pdf
http://psasir.upm.edu.my/id/eprint/45740/
https://einspem.upm.edu.my/dismath/paper/2014/MMv.36(2)2014_38_50.pdf
_version_ 1690372559234662400
score 13.211869

Similar Items