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Activity Number: 320
Type: Contributed
Date/Time: Tuesday, August 2, 2016 : 8:30 AM to 10:20 AM
Sponsor: Survey Research Methods Section
Abstract #320125 View Presentation
Title: Model-Assisted Estimation Using Time-to-Event Models
Author(s): Benjamin Reist*
Companies: U.S. Census Bureau
Keywords: Survival Models ; Generalized Difference Estimators ; Proportional Hazard Models ; Weibull Models ; Log-normal Models ; Right Censoring
Abstract:

This paper explores the use of time-to-event models under right censoring in the Generalized Difference estimator framework. Model-assisted estimation has been widely used for sample surveys. One class of model-assisted estimators is Generalized Difference estimators. These estimators have been explored for Generalized Linear Models but not time-to-event models under right censoring. Adaptations to the current theory need to be made through the use of a counting process approach to time-to-event analysis. Here, both parametric and semi-parametric time-to-event models will be explored.


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