An analysis of hip fracture treatments in Japan by the discrete-type proportional hazard and ordered probit models

A simple approach for testing constant failure rate against different ageing classes for discrete data

“…The analysis of lifetime data in discrete time is also concerned with the data measured in intervals [6]. A good overview of discrete probability distributions used in reliability theory can be found in Bracquemond and Gaudoin [2], Kemp [8], Nanda and Sengupta [12], Chen and Manatunga [3], Yu [16], Karlisa and Patileab [7], Nawata et al [14,13], Bebbington et al [1], Lai [9] and the references therein. This necessitates the development of tools, analogous to the continuous case, for studying the discrete lifetime data.…”

“…Since the length of stay may depend on several factors like sex, age, prevalence of other diseases like diabetes, mental strength, etc. Nawata et al [13] considered a proportional hazards model (PHM) in discrete set-up (also see Nawata et al [14]) to incorporate such factors. The main challenge in this study is to identify the appropriate reliability model which adequately describes the data.…”