Simulation of interval censored data in medical and biological studies

Kiani, K ORCID: https://orcid.org/0000-0003-4541-5907 and Arasan, J 2012, 'Simulation of interval censored data in medical and biological studies' , International Journal of Modern Physics: Conference Series, 09 , pp. 112-118.

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Abstract

This research looks at the simulation of interval censored data when the survivor function of the survival time is known and attendance probability of the subjects for follow-ups can take any number between 0 to 1. Interval censored data often arise in the medical and biological follow-up studies where the event of interest occurs somewhere between two known times. Regardless of the methods used to analyze these types of data, simulation of interval censored data is an important and challenging step toward model building and prediction of survival time. The simulation itself is rather tedious and very computer intensive due to the interval monitoring of subjects at prescheduled times and subject's incomplete attendance to follow-ups. In this paper the simulated data by the proposed method were assessed using the bias, standard error and root mean square error (RMSE) of the parameter estimates where the survival time T is assumed to follow the Gompertz distribution function.

Item Type:	Article
Schools:	Schools > School of Computing, Science and Engineering
Journal or Publication Title:	International Journal of Modern Physics: Conference Series
Publisher:	World Scientific Publishing
ISSN:	2010-1945
Depositing User:	Dr Kaveh Kiani
Date Deposited:	08 Mar 2023 12:55
Last Modified:	08 Mar 2023 13:00
URI:	https://usir.salford.ac.uk/id/eprint/66543

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