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Activity Number: 466 - First-Hitting-Time Based Threshold Regression and Applications
Type: Topic Contributed
Date/Time: Wednesday, August 1, 2018 : 8:30 AM to 10:20 AM
Sponsor: Section on Risk Analysis
Abstract #327058 Presentation
Title: Estimating Time-to-Event Characteristics via Longitudinal Threshold Regression Models - an Application to Cervical Dilation Progression
Author(s): Caroline Mulatya* and Alexander C McLain and Bo Cai and James Hardin and Paul S Albert
Companies: Emmes and University of South Carolina and University of South Carolina and University of South Carolina and National Cancer Institute
Keywords: First hitting time; Threshold regression; Wiener process

In longitudinal studies, it is sometimes of interest to estimate the distribution of the time a longitudinal process takes to traverse from one threshold to another. For example, the distribution of the time it takes a woman's cervical dilation to progress from 3 to 4 cm can aid the decision making of obstetricians as to whether a stalled labor should be allowed to proceed or stopped in favor of other options. Often researchers treat this type of data structure as interval censored and employ traditional survival analysis methods. However, the traditional interval censoring approaches are inefficient in that they do not use all of the available data. In this talk, we propose utilizing a longitudinal threshold model to estimate the distribution of the elapsed time between two thresholds of the longitudinal process from repeated measurements. A Wiener process under the first hitting time (FHT) framework is used to represent survival distribution. We demonstrate our model through an analysis of data from the Consortium on Safe Labor (CSL) study.

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

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