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Activity Number: 418 - From Survival Analysis to Survey Research
Type: Contributed
Date/Time: Tuesday, July 31, 2018 : 2:00 PM to 3:50 PM
Sponsor: International Chinese Statistical Association
Abstract #328815 Presentation
Title: Interval Estimation for the Slope Difference in a Normal Mixture Regression Model
Author(s): Shin-Fu Tsai*
Companies: National Taiwan University
Keywords: Incomplete data; Interval estimation; Latent variable; Mixture regression model
Abstract:

A normal mixture regression model is often used to characterize the relationship between the response and covariates in a population with several latent and heterogeneous subpopulations. In many practical applications, the slope difference between two regression models could be of particular interest, it can be used to compare the impact of a specific covariate over different subpopulations. In this talk, I will introduce a new method to derive a confidence interval for the slope difference in a mixture regression model. Some simulation results will be presented for showing that the proposed method can maintain the empirical coverage rate sufficiently close to the nominal level of confidence. In addition, a real-life data analysis will be given for demonstrating that the proposed method is feasible in practice.


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

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