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Activity Number: 409 - Survival Analysis I
Type: Contributed
Date/Time: Tuesday, July 31, 2018 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract #329948 Presentation
Title: A General Class of Weighted Semiparametric Models for Recurrent Event Data
Author(s): Russell Stocker* and Akim Adekpedjou
Companies: Indiana University of Pennsylvania and Missouri University of Science and Technology
Keywords: Recurrent Events; Biased Samples; Survey Samples; Emipircal Processes; Survival Analysis; Right Censoring

We propose a general class of weighted semiparametric models for recurrent event data. The weights represent the reciprocals of selection probabilities for units in a study. These can be known quantities that are used in situations such as survey sampling. Alternatively, they are unknown quantities that are estimated via logistic regression in studies that have a biased sample. Estimators are constructed and their associated asymptotic properties are established. Finite sample properties are investigated via a computer simulation study. A real data set is analyzed to illustrate the class of models.

Authors who are presenting talks have a * after their name.

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