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What is Cox Model: MLE with Missing Covariates about?

This paper investigates the existence of maximum likelihood estimates (MLE) for the Cox regression model, particularly in scenarios with missing covariate data. It establishes necessary and sufficient conditions for the existence of maximum partial likelihood estimates (MPLE) and MLE using a profile likelihood method, providing theoretical insights and practical applications. The methodology is illustrated with real datasets from cancer clinical trials, highlighting its significance in determining the feasi

Author

Leandro Henrique Vargas

Language

EN