Influential measures on log-normal model for left-truncated and case-k interval censored data with time-dependent covariate
In this study, we focus on assessing the performance of the local influential diagnostics on detecting observations that may have an influence on the set of parameters of the extended log-normal distribution which incorporates time-dependent covariates in the presence of left-truncation and case-k i...
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Taylor and Francis
2020
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الوصول للمادة أونلاين: | http://psasir.upm.edu.my/id/eprint/89392/1/LOG.pdf http://psasir.upm.edu.my/id/eprint/89392/ https://www.tandfonline.com/doi/abs/10.1080/03610918.2018.1498885 |
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my.upm.eprints.893922021-08-19T22:56:03Z http://psasir.upm.edu.my/id/eprint/89392/ Influential measures on log-normal model for left-truncated and case-k interval censored data with time-dependent covariate Manoharan, Thirunanthini Arasan, Jayanthi Midi, Habshah Adam, Mohd Bakri In this study, we focus on assessing the performance of the local influential diagnostics on detecting observations that may have an influence on the set of parameters of the extended log-normal distribution which incorporates time-dependent covariates in the presence of left-truncation and case-k interval censoring. A simulation study was conducted to evaluate the performance of the local influential diagnostics under the proposed perturbation schemes and compared with the global influential diagnostics. The most desirable influential diagnostics are expected to identify influential observations with higher probability when the level of contamination is high. Taylor and Francis 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/89392/1/LOG.pdf Manoharan, Thirunanthini and Arasan, Jayanthi and Midi, Habshah and Adam, Mohd Bakri (2020) Influential measures on log-normal model for left-truncated and case-k interval censored data with time-dependent covariate. Communications in Statistics Part B: Simulation and Computation, 49 (6). 1445 - 1466. ISSN 0361-0918; ESSN: 1532-4141 https://www.tandfonline.com/doi/abs/10.1080/03610918.2018.1498885 10.1080/03610918.2018.1498885 |
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In this study, we focus on assessing the performance of the local influential diagnostics on detecting observations that may have an influence on the set of parameters of the extended log-normal distribution which incorporates time-dependent covariates in the presence of left-truncation and case-k interval censoring. A simulation study was conducted to evaluate the performance of the local influential diagnostics under the proposed perturbation schemes and compared with the global influential diagnostics. The most desirable influential diagnostics are expected to identify influential observations with higher probability when the level of contamination is high. |
format |
Article |
author |
Manoharan, Thirunanthini Arasan, Jayanthi Midi, Habshah Adam, Mohd Bakri |
spellingShingle |
Manoharan, Thirunanthini Arasan, Jayanthi Midi, Habshah Adam, Mohd Bakri Influential measures on log-normal model for left-truncated and case-k interval censored data with time-dependent covariate |
author_facet |
Manoharan, Thirunanthini Arasan, Jayanthi Midi, Habshah Adam, Mohd Bakri |
author_sort |
Manoharan, Thirunanthini |
title |
Influential measures on log-normal model for left-truncated and case-k interval censored data with time-dependent covariate |
title_short |
Influential measures on log-normal model for left-truncated and case-k interval censored data with time-dependent covariate |
title_full |
Influential measures on log-normal model for left-truncated and case-k interval censored data with time-dependent covariate |
title_fullStr |
Influential measures on log-normal model for left-truncated and case-k interval censored data with time-dependent covariate |
title_full_unstemmed |
Influential measures on log-normal model for left-truncated and case-k interval censored data with time-dependent covariate |
title_sort |
influential measures on log-normal model for left-truncated and case-k interval censored data with time-dependent covariate |
publisher |
Taylor and Francis |
publishDate |
2020 |
url |
http://psasir.upm.edu.my/id/eprint/89392/1/LOG.pdf http://psasir.upm.edu.my/id/eprint/89392/ https://www.tandfonline.com/doi/abs/10.1080/03610918.2018.1498885 |
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1709669009198153728 |
score |
13.251813 |