Flexible modelling of simultaneously interval censored and truncated time‐to‐event data |
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| Authors: | Sammy Chebon Christel Faes Ann De Smedt Helena Geys |
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| Affiliation: | 1. Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Hasselt University, Diepenbeek, Belgium;2. Janssen Pharmaceutica NV., Beerse, Belgium |
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| Abstract: | This paper deals with the analysis of data from a HET‐CAMVT experiment. From a statistical perspective, such data yield many challenges. First of all, the data are typically time‐to‐event like data, which are at the same time interval censored and right truncated. In addition, one has to cope with overdispersion as well as clustering. Traditional analysis approaches ignore overdispersion and clustering and summarize the data into a continuous score that can be analysed using simple linear models. In this paper, a novel combined frailty model is developed that simultaneously captures all of the aforementioned statistical challenges posed by the data. Copyright © 2015 John Wiley & Sons, Ltd. |
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| Keywords: | HET‐CAMVT truncation interval censoring frailty modelling combined model |
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