Simulation of interval censored data in medical and biological studies.

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 wh...

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Main Authors: Kiani, Kaveh, Arasan, Jayanthi
Format: Article
Language:English
English
Published: World Scientific Publishing Company 2011
Online Access:http://psasir.upm.edu.my/id/eprint/25301/1/Simulation%20of%20interval%20censored%20data%20in%20medical%20and%20biological%20studies.pdf
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author Kiani, Kaveh
Arasan, Jayanthi
author_facet Kiani, Kaveh
Arasan, Jayanthi
author_sort Kiani, Kaveh
collection UPM
description 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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spelling upm.eprints-253012015-09-22T02:51:51Z http://psasir.upm.edu.my/id/eprint/25301/ Simulation of interval censored data in medical and biological studies. Kiani, Kaveh Arasan, Jayanthi 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. World Scientific Publishing Company 2011 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/25301/1/Simulation%20of%20interval%20censored%20data%20in%20medical%20and%20biological%20studies.pdf 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 http://www.worldscientific.com/ 10.1142/S2010194512005168 English
spellingShingle Kiani, Kaveh
Arasan, Jayanthi
Simulation of interval censored data in medical and biological studies.
title Simulation of interval censored data in medical and biological studies.
title_full Simulation of interval censored data in medical and biological studies.
title_fullStr Simulation of interval censored data in medical and biological studies.
title_full_unstemmed Simulation of interval censored data in medical and biological studies.
title_short Simulation of interval censored data in medical and biological studies.
title_sort simulation of interval censored data in medical and biological studies
url http://psasir.upm.edu.my/id/eprint/25301/1/Simulation%20of%20interval%20censored%20data%20in%20medical%20and%20biological%20studies.pdf
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