Parametric model based on imputations techniques for partly interval censored data
The term ‘survival analysis’ has been used in a broad sense to describe collection of statistical procedures for data analysis. In this case, outcome variable of interest is time until an event occurs where the time to failure of a specific experimental unit might be censored which can be right, lef...
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| Language: | English English |
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IOP Publishing
2017
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| Online Access: | http://irep.iium.edu.my/61989/ http://irep.iium.edu.my/61989/ http://irep.iium.edu.my/61989/ http://irep.iium.edu.my/61989/7/61989_Parametric%20Model%20Based%20On%20Imputations%20Techniques_scopus.pdf http://irep.iium.edu.my/61989/13/61989_Parametric%20Model%20Based%20On%20Imputations%20Techniques_article.pdf |
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iium-619892018-08-10T04:06:15Z http://irep.iium.edu.my/61989/ Parametric model based on imputations techniques for partly interval censored data Zyoud, Abdallah Elfaki, Faiz A. M. Hrairi, Meftah QA276 Mathematical Statistics The term ‘survival analysis’ has been used in a broad sense to describe collection of statistical procedures for data analysis. In this case, outcome variable of interest is time until an event occurs where the time to failure of a specific experimental unit might be censored which can be right, left, interval, and Partly Interval Censored data (PIC). In this paper, analysis of this model was conducted based on parametric Cox model via PIC data. Moreover, several imputation techniques were used, which are: midpoint, left & right point, random, mean, and median. Maximum likelihood estimate was considered to obtain the estimated survival function. These estimations were then compared with the existing model, such as: Turnbull and Cox model based on clinical trial data (breast cancer data), for which it showed the validity of the proposed model. Result of data set indicated that the parametric of Cox model proved to be more superior in terms of estimation of survival functions, likelihood ratio tests, and their P-values. Moreover, based on imputation techniques; the midpoint, random, mean, and median showed better results with respect to the estimation of survival function. IOP Publishing 2017 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/61989/7/61989_Parametric%20Model%20Based%20On%20Imputations%20Techniques_scopus.pdf application/pdf en http://irep.iium.edu.my/61989/13/61989_Parametric%20Model%20Based%20On%20Imputations%20Techniques_article.pdf Zyoud, Abdallah and Elfaki, Faiz A. M. and Hrairi, Meftah (2017) Parametric model based on imputations techniques for partly interval censored data. In: 4th International Conference on Mathematical Applications in Engineering 2017, ICMAE 2017, 8-9 August 2017, Kuala Lumpur, Malaysia. http://iopscience.iop.org/journal/1742-6596 10.1088/1742-6596/949/1/012002 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English English |
| topic |
QA276 Mathematical Statistics |
| spellingShingle |
QA276 Mathematical Statistics Zyoud, Abdallah Elfaki, Faiz A. M. Hrairi, Meftah Parametric model based on imputations techniques for partly interval censored data |
| description |
The term ‘survival analysis’ has been used in a broad sense to describe collection of statistical procedures for data analysis. In this case, outcome variable of interest is time until an event occurs where the time to failure of a specific experimental unit might be censored which can be right, left, interval, and Partly Interval Censored data (PIC). In this paper, analysis of this model was conducted based on parametric Cox model via PIC data. Moreover, several imputation techniques were used, which are: midpoint, left & right point, random, mean, and median. Maximum likelihood estimate was considered to obtain the estimated survival function. These estimations were then compared with the existing model, such as: Turnbull and Cox model based on clinical trial data
(breast cancer data), for which it showed the validity of the proposed model. Result of data set indicated that the parametric of Cox model proved to be more superior in terms of estimation of survival functions, likelihood ratio tests, and their P-values. Moreover, based on imputation techniques; the midpoint, random, mean, and median showed better results with respect to the estimation of survival function. |
| format |
Conference or Workshop Item |
| author |
Zyoud, Abdallah Elfaki, Faiz A. M. Hrairi, Meftah |
| author_facet |
Zyoud, Abdallah Elfaki, Faiz A. M. Hrairi, Meftah |
| author_sort |
Zyoud, Abdallah |
| title |
Parametric model based on imputations techniques for partly
interval censored data |
| title_short |
Parametric model based on imputations techniques for partly
interval censored data |
| title_full |
Parametric model based on imputations techniques for partly
interval censored data |
| title_fullStr |
Parametric model based on imputations techniques for partly
interval censored data |
| title_full_unstemmed |
Parametric model based on imputations techniques for partly
interval censored data |
| title_sort |
parametric model based on imputations techniques for partly
interval censored data |
| publisher |
IOP Publishing |
| publishDate |
2017 |
| url |
http://irep.iium.edu.my/61989/ http://irep.iium.edu.my/61989/ http://irep.iium.edu.my/61989/ http://irep.iium.edu.my/61989/7/61989_Parametric%20Model%20Based%20On%20Imputations%20Techniques_scopus.pdf http://irep.iium.edu.my/61989/13/61989_Parametric%20Model%20Based%20On%20Imputations%20Techniques_article.pdf |
| first_indexed |
2023-09-18T21:27:57Z |
| last_indexed |
2023-09-18T21:27:57Z |
| _version_ |
1777412317685743616 |