Regression analysis of recurrent-event-free time from multiple follow-up windows.
Abstract
This research develops multivariable restricted time models appropriate for analysis of recurrent events data, where data is repurposed into censored longitudinal time-to-first-event outcomes in τ-length follow-up windows. We develop two approaches for addressing the censored nature of the outcomes: a pseudo-observation (PO) approach and a multiple-imputation (MI) approach. Each of these approaches allows for complete data methods, such as...
Paper Details
Title
Regression analysis of recurrent-event-free time from multiple follow-up windows.
Published Date
Jan 15, 2020
Journal
Volume
39
Issue
1
Pages
1 - 15
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