The data provided by clinical trials are often expressed in terms of survival. The analysis of
survival comprises a series of statistical analytical techniques in which the measurements …

The Cox model is a well-recognised statistical technique for analysing survival data. When it
is used to analyse the survival of patients in a clinical trial, the model allows us to isolate the …

In the health sciences it is quite common to carry out studies designed to determine the
influence of one or more variables upon a given response variable. When this response …

Survival analysis is concerned with studying the time between entry to a study and a
subsequent event (such as death). Survival times now often refer to the development of a …

We consider methodological problems in evaluating long‐term survival in clinical trials. In
particular we examine the use of several methods that extend the basic Cox regression …

Survival analysis 1982â•fi1991: The second decade of the proportional hazards regression
model Page 1 STATISTICS IN MEDICINE, VOL. SURVIVAL ANALYSIS 1982-1991: THE …

Over the past two decades, a variety of fruitful statistical methods for the analysis of recurrent
events has been proposed for the estimation of covariates effect using the Cox proportional …

Many generalizations of the Cox proportional hazard method have been elaborated to
analyse recurrent event data. The Andersen–Gill model was proposed to handle event data …

Sažetak The odds ratio (OR) is one of several statistics that have become increasingly
important in clinical research and decision-making. It is particularly useful because as an …

The Cox model is a regression technique for performing survival analyses in
epidemiological and clinical research. This model estimates the hazard ratio (HR) of a given …