|
Activity Number:
|
270
- Nonparametric and Semiparametric Statistical Inference for Cure Models
|
|
Type:
|
Invited
|
|
Date/Time:
|
Tuesday, July 30, 2019 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
Journal of Nonparametric Statistics
|
|
Abstract #300339
|
Presentation
|
|
Title:
|
Nonparametric Latency Estimation for Mixture Cure Models
|
|
Author(s):
|
Ricardo Cao* and Ana López-Cheda and M. Amalia Jácome
|
|
Companies:
|
Universidade da Coruña and Universidade da Coruña and Universidade da Coruña
|
|
Keywords:
|
Bandwidth selection;
Bootstrap;
Censored data;
Cured models;
Kernel estimation;
Survival analysis
|
|
Abstract:
|
A nonparametric latency estimator for mixture cure models is studied. An iid representation is obtained, the asymptotic mean squared error of the latency estimator is found, and its asymptotic normality is proven. A bootstrap bandwidth selection method is introduced and its efficiency is evaluated in a simulation study. The proposed methods are applied to a dataset of colorectal cancer patients in the University Hospital of A Coruña (CHUAC).
|
Authors who are presenting talks have a * after their name.
