Cox's model for prison partly interval censored data
The term survival analysis has been used in examines and models the time until the events occur. The most common tool for studying the dependency of survival time on predictor variables is Cox model proportional hazards regression model. In this paper we present a simple modification of Cox’s pro...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IOP Publishing open access policy
2020
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/80982/1/80982_Cox%27s%20Model%20for%20Prison%20Partly%20Interval%20Censored%20Data.pdf http://irep.iium.edu.my/80982/7/80982_Cox%27s%20Model%20for%20Prison%20Partly%20Interval%20Censored%20Data_scopus.pdf http://irep.iium.edu.my/80982/ https://iopscience.iop.org/article/10.1088/1742-6596/1489/1/012032/pdf |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English English |
| Summary: | The term survival analysis has been used in examines and models the time until the
events occur. The most common tool for studying the dependency of survival time on predictor
variables is Cox model proportional hazards regression model. In this paper we present a simple
modification of Cox’s proportional hazards model using the partial likelihood principle technique
based on Newton Rapson method.
Simulation is conducted based on prison partly interval censored data set with particular sample
sizes to evaluate the performance of the proposed model, and it shows that the model is feasible
and works well. |
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