Estimation and identification issues in the promotion time cure model when the same covariates influence long- and short-term survival

Author:

Lambert Philippe12ORCID,Bremhorst Vincent2

Affiliation:

1. Faculté des sciences sociales; Méthodes quantitatives en sciences sociales; Université de Liège; B-4000 Liège Belgium

2. Institut de statistique, biostatistique et sciences actuarielles (ISBA); Université catholique de Louvain; B-1348 Louvain-la-Neuve Belgium

Funder

Académie Universitaire ‘Louvain

Belgian Government

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Reference28 articles.

1. Survival curve for cancer patients following treatment;Berkson;Journal of the American Statistical Association,1952

2. Flexible estimation in cure survival models using Bayesian P-splines;Bremhorst;Computational Statistics and Data Analysis,2016

3. Fertility progression in Germany: An analysis using flexible nonparametric cure survival models;Bremhorst;Demographic Research,2016

4. Nonparametric double additive cure survival models : An application to the estimation of the nonlinear effect of age at first parenthood on fertility progression;Bremhorst;Statistical Modelling,2018

5. A new Bayesian model for survival data with a surviving fraction;Chen;Journal of the American Statistical Association,1999

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