Northwestern University

Nov
14
Wed 11:00 AM

Statistics Seminar Series: Lauren Balmert, “Quantile Lost Lifespan”

When: Wednesday, November 14, 2018
11:00 AM - 12:00 PM  

Where: 2006 Sheridan Road, B02, Evanston, IL 60208 map it

Audience: Faculty/Staff - Post Docs/Docs - Graduate Students

Contact: Kisa Kowal   847.491.3974

Group: Department of Statistics

Category: Academic

Description:

Department of Statistics Fall 2018 Seminar Series

Quantile Lost Lifespan

Speaker: Lauren Balmert, Assistant Professor of Preventive Medicine (Biostatistics), Biostatistics Collaboration Center (BCC), Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University

Time: 11:00am

Abstract: The concept of lost lifespan, or life lost, has recently emerged as a new summary measure for cumulative information inherent in time-to-event data. This summary measure provides several benets over the traditional methods, including less sensitivity to heavy censoring and more straightforward clinical interpretation. However, there exists no systematic modeling approach on the quantile lost lifespan in the literature and hence no time-to-event data have been analyzed as such. In this paper, we propose a novel quantile regression model on the quantiles of the distribution of the lost lifespan under right censoring. The consistency and asymptotic normality of the regression parameters are established. To avoid estimation of the probability density function of the lost lifespan distribution under censoring, the estimating equation for the quantile lost lifespan is directly used to construct the test statistics for the regression parameters. To test a subset of the regression parameters, a perturbation method is employed from which confidence intervals based on a normal approximation can be constructed. Simulation results are presented to validate the finite sample properties of the proposed estimators and test statistics. The proposed method is illustrated with a real dataset from a clinical trial on cancer.

Authors: Lauren C. Balmert, Ruosha Li, Limin Peng, and Jong-Hyeon Jeong

Location: Basement classroom - B02, Department of Statistics, 2006 Sheridan Road

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