Survival model for partly interval-censored data with application to anti D in rhesus D negative studies
This paper discusses regression analysis of partly interval-censored failure time data, which is occur in many fields including demographical, epidemiological, financial, medical and sociological studies. For the problem, we focus on the situation where the survival time of interest can be describe...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
World Academy of Science, Engineering and Technology (W A S E T)
2013
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/33327/ http://irep.iium.edu.my/33327/ http://irep.iium.edu.my/33327/ http://irep.iium.edu.my/33327/1/Survival_Model_for_Partly_Interval-Censored_Data_with_Application_to_Anti_D_in_Rhesus_D_Negative_Studies.pdf |
| Summary: | This paper discusses regression analysis of partly
interval-censored failure time data, which is occur in many fields including demographical, epidemiological, financial, medical and sociological studies. For the problem, we focus on the situation where the survival time of interest can be described by the additive hazards model in the present of partly interval-censored. A major advantage of the approach is its simplicity and it can be easily implemented by using R software. Simulation studies are conducted which indicate that the approach performs well for practical situations and comparable to the existing methods. The methodology
is applied to a set of partly interval-censored failure time data arising from anti D in Rhesus D negative studies. |
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