Parametric Cox’s Model for partly interval-censored data with application to AIDS studies
The Parametric Cox’s Proportional Hazard Model based on Expectation-Maximization (EM) algorithm for partly interval-censored data is studied. We mean by partly interval-censored data that the observed data include both the exact and interval-censored observations on the survival time of interest....
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| Language: | English |
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International Association of Computer Science and Information Technology Press (IACSIT)
2012
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| Online Access: | http://irep.iium.edu.my/25569/ http://irep.iium.edu.my/25569/ http://irep.iium.edu.my/25569/1/132-P10017.pdf |
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iium-255692012-08-28T00:37:19Z http://irep.iium.edu.my/25569/ Parametric Cox’s Model for partly interval-censored data with application to AIDS studies Elfaki, Faiz Ahmed Mohamed Azram, Mohammad Usman, Mustofa QA Mathematics The Parametric Cox’s Proportional Hazard Model based on Expectation-Maximization (EM) algorithm for partly interval-censored data is studied. We mean by partly interval-censored data that the observed data include both the exact and interval-censored observations on the survival time of interest. Through the simulation data and real data, we demonstrate that the resulting estimate of regression coefficient and its associated standard error. Our proposal is easily implemented by using SAS software in the present of partly interval-censored data. International Association of Computer Science and Information Technology Press (IACSIT) 2012-09 Article PeerReviewed application/pdf en http://irep.iium.edu.my/25569/1/132-P10017.pdf Elfaki, Faiz Ahmed Mohamed and Azram, Mohammad and Usman, Mustofa (2012) Parametric Cox’s Model for partly interval-censored data with application to AIDS studies. International Journal of Applied Physics and Mathematics, 2 (5). pp. 352-354. ISSN 2010-362X http://www.ijapm.org/abstract/132-P10017.htm |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
QA Mathematics |
| spellingShingle |
QA Mathematics Elfaki, Faiz Ahmed Mohamed Azram, Mohammad Usman, Mustofa Parametric Cox’s Model for partly interval-censored data with application to AIDS studies |
| description |
The Parametric Cox’s Proportional Hazard Model
based on Expectation-Maximization (EM) algorithm for partly
interval-censored data is studied. We mean by partly
interval-censored data that the observed data include both the exact and interval-censored observations on the survival time of interest. Through the simulation data and real data, we demonstrate that the resulting estimate of regression coefficient and its associated standard error. Our proposal is easily implemented by using SAS software in the present of partly
interval-censored data. |
| format |
Article |
| author |
Elfaki, Faiz Ahmed Mohamed Azram, Mohammad Usman, Mustofa |
| author_facet |
Elfaki, Faiz Ahmed Mohamed Azram, Mohammad Usman, Mustofa |
| author_sort |
Elfaki, Faiz Ahmed Mohamed |
| title |
Parametric Cox’s Model for partly interval-censored data
with application to AIDS studies |
| title_short |
Parametric Cox’s Model for partly interval-censored data
with application to AIDS studies |
| title_full |
Parametric Cox’s Model for partly interval-censored data
with application to AIDS studies |
| title_fullStr |
Parametric Cox’s Model for partly interval-censored data
with application to AIDS studies |
| title_full_unstemmed |
Parametric Cox’s Model for partly interval-censored data
with application to AIDS studies |
| title_sort |
parametric cox’s model for partly interval-censored data
with application to aids studies |
| publisher |
International Association of Computer Science and Information Technology Press (IACSIT) |
| publishDate |
2012 |
| url |
http://irep.iium.edu.my/25569/ http://irep.iium.edu.my/25569/ http://irep.iium.edu.my/25569/1/132-P10017.pdf |
| first_indexed |
2023-09-18T20:38:06Z |
| last_indexed |
2023-09-18T20:38:06Z |
| _version_ |
1777409181769269248 |