A Weibull Mixture Cure Frailty Model for High-dimensional Covariates

Fatih Kızılaslan, David Swanson, Valeria Vitelli

Type: Preprint

Publication Date: 2024-01-01

Citations: 0

DOI: https://doi.org/10.48550/arxiv.2401.06575

View Publication

Locations

arXiv (Cornell University) - View
DataCite API - View

Similar Works

Action	Title	Year	Authors
+	Cure Frailty Models	2017	Mengdie Yuan Xiangmin Zhang Guoqing Diao
+ PDF Chat	A competing risks cure frailty model: An application to relapse-free survival of breast cancer patients	2021	Vahid Ghavami Mahmood Mahmoudi Abbas Rahimi Foroushani Hossein Baghishani Mehdi Yaseri Fatemeh Homaei Shandiz
+ PDF Chat	Penalized maximum likelihood inference under the mixture cure model in sparse data	2023	Changchang Xu Shelley B. Bull
+	Functional proportional hazards mixture cure model with applications in cancer mortality in NHANES and post ICU recovery	2023	Rahul Ghosal Marcos Matabuena Jiajia Zhang
+	Generalized Birnbaum–Saunders mixture cure frailty model: inferential method and an application to bone marrow transplant data	2021	Kai Liu N. Balakrishnan Mu He
+	Advanced Methodology Developments in Mixture Cure Models	2013	Chao Cai
+	Promoting structural effects of covariates in the cure rate model with penalization	2017	Xinyan Fan Mengque Liu Kuangnan Fang Yuan Huang Shuangge Ma
+	Functional proportional hazards mixture cure model and its application to modelling the association between cancer mortality and physical activity in NHANES 2003-2006	2023	Rahul Ghosal Marcos Matabuena Jiajia Zhang
+	Mixture cure models for multivariate survival data	2007	Binbing Yu Yingwei Peng
+	Modern Statistical Methods for Complex Survival Data	2019	Jue Hou
+ PDF Chat	Mixture Cure Models in Oncology: A Tutorial and Practical Guidance	2021	Federico Felizzi Noman Paracha Johannes Pöhlmann Joshua Ray
+	Semiparametric estimation of the cure fraction in population‐based cancer survival analysis	2020	Ennan Gu Jiajia Zhang Wenbin Lu Lianming Wang Federico Felizzi
+	Advanced Survival Models	2021	Catherine Legrand
+ PDF Chat	Exponentiated Weibull Models Applied to Medical Data in Presence of Right-censoring, Cure Fraction and Covariates	2021	Edson Zangiacomí Martínez Bruno Caparroz Lopes de Freitas Jorge Alberto Achcar Davi Casale Aragon Marcos Vinicius de Oliveira Peres
+ PDF Chat	C-mix: A high-dimensional mixture model for censored durations, with applications to genetic data	2018	Simon Bussy Agathe Guilloux Stéphane Gaïffas Anne‐Sophie Jannot
+	Long-Term Dagum-PVF Frailty Regression Model: Application in Health Studies	2023	Agatha Sacramento Rodrigues Patrick Borges
+	A comparison between classic parametric and mixture-cure modelling approaches to estimate observed and predicted survival across various time points	2017	Leonardo Simonella
+	CondiS: A conditional survival distribution-based method for censored data imputation overcoming the hurdle in machine learning-based survival analysis	2022	Yizhuo Wang Christopher R. Flowers Ziyi Li Xuelin Huang
+	Exponentiated Weibull Mixture Cure Model to Handle Right-Censored Data Set	2023	Mohamed A. S. Ishag Anthony Wanjoya Aggrey Adem Ahmed Z. Afify
+ PDF Chat	Variable selection in a flexible parametric mixture cure model with interval‐censored data	2015	Sylvie Scolas Anouar El Ghouch Catherine Legrand Abderrahim Oulhaj

Works That Cite This (0)

Action	Title	Year	Authors

Works Cited by This (0)

Action	Title	Year	Authors