Time-to-event outcomes are common in medical research as they offer more information
than simply whether or not an event occurred. To handle these outcomes, as well as …

Learning objectives: 1. To understand the log-rank test and limitations of the log-rank test in
comparing survival between groups. 2. To understand the fundamental concepts of the …

For the past two decades the Cox proportional hazards model has been used extensively to
examine the covariate effects on the hazard function for the failure time variable. On the …

The accelerated failure time regression model is most commonly used with right-censored
survival data. This report studies the use of a Weibull-based accelerated failure time …

This article is the second of a series of 2 educational articles. In the first article, we described
the basic concepts of survival analysis, summarizing the common statistical methods and …

Modelling Survival Data in Medical Research, Fourth Edition, describes the analysis of
survival data, illustrated using a wide range of examples from biomedical research. Written …

We present a study of risk factors measured in men before age 50 and subsequent
incidence of heart disease over 32 years of follow-up. The data are from the Framingham …

Background Typical survival studies follow individuals to an event and measure explanatory
variables for that event, sometimes repeatedly over the course of follow up. The Cox …

ContextAdjusted survival curves are often presented in medical research articles. The most
commonly used method for calculating such curves is the mean of covariates method, in …

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 …