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Simulation of interval censored data in medical and biological studies.


Kiani, Kaveh and Arasan, Jayanthi (2011) Simulation of interval censored data in medical and biological studies. International Journal of Modern Physics: Conference Series, 9 (2012). pp. 112-118. ISSN 2010-1945


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.

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Additional Metadata

Item Type: Article
Divisions: Faculty of Science
Institute for Mathematical Research
DOI Number: https://doi.org/10.1142/S2010194512005168
Publisher: World Scientific Publishing Company
Keywords: Interval censored; Follow-up study; Survival analysis; Gompertz model.
Depositing User: Nur Farahin Ramli
Date Deposited: 24 Oct 2013 05:34
Last Modified: 22 Sep 2015 02:51
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1142/S2010194512005168
URI: http://psasir.upm.edu.my/id/eprint/25301
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