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Regression modelling of misclassified correlated interval-censored data

Publication at Faculty of Mathematics and Physics |
2014

Abstract

We propose a flexible modelling approach for correlated (clustered) time-to-event data, when the response of interest can only be determined to lie in an interval obtained from a sequence of examination times (interval-censored data) and, on top of that, the determination of the occurrence of the event is subject to misclassification.