In the analysis of censored failure time observations, the standard Cox proportional hazards
model assumes that the regression coefficients are time invariant. Often, these parameters …

The consequences of violated assumptions for Cox's proportional hazards model are
discussed and current options to deal with non-proportionality in Cox's model are reviewed …

Both logistic regression and Cox proportional hazards models are used widely in
longitudinal epidemiologic studies for analysing the relationship between several risk factors …

Since its introduction to a wondering public in 1972, the Cox proportional hazards
regression model has become an overwhelmingly popular tool in the analysis of censored …

3 The Cox Proportional Hazards Model and Its Charact- eristics Page 1 3 The Cox
Proportional Hazards Model and Its Characteristics DG Kleinbaum and M.Klein, Survival …

The relationship between a longitudinal covariate and a failure time process can be
assessed using the Cox proportional hazards regression model. We consider the problem of …

This paper describes a method proposed for a censored linear regression model that can be
used in the context of survival analysis. The method has the important characteristic of …

A Cox-type regression model for the ratio between the mortality in a cohort and that in a
reference population is introduced. By means of the model it is possible to include in the …

In the presence of competing risks a prediction of the time-dynamic absolute risk of an event
can be based on cause-specific Cox regression models for the event and the competing …

The proportional hazard regression model is reviewed, and its analysis using GLIM is
described. Methods of estimating the underlying survivor functions are discussed. The …