Incorporation of frailties into a cure rate regression model and its diagnostics and application to melanoma data

Author:

Leão Jeremias1ORCID,Leiva Víctor2ORCID,Saulo Helton34ORCID,Tomazella Vera5ORCID

Affiliation:

1. Department of Statistics; Universidade Federal do Amazonas; Amazonas Brazil

2. School of Industrial Engineering; Pontificia Universidad Católica de Valparaíso; Valparaíso Chile

3. Department of Statistics; Universidade de Brasília; Distrito Federal Brazil

4. Faculty of Administration, Accounting and Economics; Universidade Federal de Goiás; Goiás Brazil

5. Department of Statistics; Universidade Federal de São Carlos; São Paulo Brazil

Funder

Governo Brasil

Fundação de Amparo à Pesquisa do Estado do Amazonas

Fundação de Amparo à Pesquisa do Estado de São Paulo

Fondo Nacional de Desarrollo Científico y Tecnológico

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference57 articles.

1. Maximum likelihood estimates of the proportion of patients cured by cancer therapy;Boag;J R Stat Soc Series B Stat Methodol,1949

2. Survival curve for cancer patients following treatment;Berkson;J Am Stat Assoc,1952

3. A mixture model combining logistic regression with proportional hazards regression;Kuk;Biometrika,1992

4. Cure rate model with interval censored data;Kim;Stat Med,2008

5. Stochastic Models of Tumor Latency and Their Biostatistical Applications

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