Farrington, C. P. and Gay, N. J.
|DOI (Digital Object Identifier) Link:||http://doi.org/10.1002/(SICI)1097-0258(19990530)18:10%3C1235::AID-SIM120%3E3.0.CO;2-R|
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We develop parametric methods for analysing interval-censored data when examination and survival times are not independent. The hazard function is modelled by introducing individual frailties related to the frequency of examinations. Model parameters may be obtained by direct maximization of the marginal log-likelihood. We develop a simpler approximate method in which the frailties are estimated by empirical Bayes. The two approaches are equivalent asymptotically as the number of examinations on each individual increases. Simulations suggest that the approximate method is adequate for estimating regression parameters even when the number of examinations on each individual is small. The methods are used to estimate age and period e!ects on HIV incidence in a cohort of repeat attenders at genito-urinary clinics in London.
|Item Type:||Journal Article|
|Copyright Holders:||1999 John Wiley & Sons, Ltd.|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Depositing User:||Sarah Frain|
|Date Deposited:||27 May 2011 09:54|
|Last Modified:||02 Aug 2016 13:48|
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