Semiparametric analysis of recurrent events: artificial censoring,truncation, pairwise estimation and inference |
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Authors: | Debashis Ghosh |
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Institution: | (1) Department of Statistics and Actuarial Science, University of Waterloo, 200 University Avenue West, Waterloo, Ontario, Canada, N2L 3G1; |
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Abstract: | The analysis of recurrent failure time data from longitudinal studies can be complicated by the presence of dependent censoring.
There has been a substantive literature that has developed based on an artificial censoring device. We explore in this article
the connection between this class of methods with truncated data structures. In addition, a new procedure is developed for
estimation and inference in a joint model for recurrent events and dependent censoring. Estimation proceeds using a mixed
U-statistic based estimating function approach. New resampling-based methods for variance estimation and model checking are
also described. The methods are illustrated by application to data from an HIV clinical trial as with a limited simulation
study. |
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Keywords: | |
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