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H‐Likelihood Approach on the Joint Frailty Model for Clustered Bivariate Survival Data

ABSTRACT Recently, clustered bivariate survival data have been extensively studied using different modeling approaches, such as frailty models and copula models. These data can take several forms, including bivariate censored data, semicompeting risks data, and competing risks da...

An h-likelihood approach to fitting accelerated failure time models for clustered heavily censored data

Motivated by oral health time-to-event outcomes, we focus on the analysis of clustered (tooth within subjects), heavily right-censored, survival data, where the event of interest is tooth failure. The generalized extreme value (GEV) distribution is widely used for analyzing extre...