Abstract
The purpose of this paper is to share some practical applications of advanced probabilistic models in reliability data analysis. In particular, we will focus on reliability models with fixed and time-dependent covariates. While these models are popular in biological and medical studies, their application in engineering reliability data analysis is still limited. As a special advanced topic, we also discuss a new approach to model/estimate MTTF using Pade approximation.