The purpose of this study is to propose a novel, general, tractable, fully parametric class for
hazard-based and odds-based models of survival regression for the analysis of censored …

In this study, we consider a general, flexible, parametric hazard-based regression model for
censored lifetime data with covariates and term it the “general hazard (GH)” regression …

Background In survival analysis, data can be modeled using either a multiplicative hazards
regression model (such as the Cox model) or an additive hazards regression model (such …

Proportional hazards (PH), proportional odds (PO) and accelerated failure time (AFT)
models have been widely used to deal with survival data in different fields of knowledge …

Background Prognostic models incorporating survival analysis predict the risk (ie,
probability) of experiencing a future event over a specific time period. In 2002, Royston and …

In this series of papers, we have described a selection of statistical methods used for the
initial analysis of survival time data (Clark et al, 2003), and introduced a selection of more …

In the analysis of censored survival data Cox proportional hazards model (1972) is
extremely popular among the practitioners. However, in many real-life situations the …

Relative survival provides a measure of the proportion of patients dying from the disease
under study without requiring the knowledge of the cause of death. We propose an overall …

The proportional hazards model represents the most commonly assumed hazard structure
when analysing time to event data using regression models. We study a general hazard …

In survival analysis, the multiplicative risk model (Cox [4]) and the additive model (Aalen [l])
provide the two principal frameworks for the regression analysis of censored survival data …