An algorithm for robust inference for the Cox model with frailties

This article proposes a robust method of statistical inference for the Cox' s proportional hazards model with frailties. We use the Metropolis-Hastings algorithm and the bootstrap method. We present a computationally efficient algorithm with a customized data structure to implement this method and de monstrate this technique with real data.