Proportional odds COM-Poisson cure rate model with gamma frailty and associated inference and application

DOI10.1007/978-3-031-04137-2_23zbMath1497.62259OpenAlexW4283592334MaRDI QIDQ2087091

Hon-Yiu So, Tian Feng, Narayanaswamy Balakrishnan

Publication date: 26 October 2022

Full work available at URL: https://doi.org/10.1007/978-3-031-04137-2_23

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Reliability and life testing (62N05)

Cites Work

• Unnamed Item
• An EM algorithm for the estimation of parameters of a flexible cure rate model with generalized gamma lifetime and model discrimination using likelihood- and information-based methods
• On the unification of long-term survival models
• Lognormal lifetimes and likelihood-based inference for flexible cure rate models based on COM-Poisson family
• COM-Poisson cure rate survival models and an application to cutaneous melanoma data
• EM algorithm-based likelihood estimation for some cure rate models
• The EM Algorithm and Extensions, 2E
• A Useful Distribution for Fitting Discrete Data: Revival of the Conway–Maxwell–Poisson Distribution
• Conjugate analysis of the Conway-Maxwell-Poisson distribution

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