THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-
EVENT DATA—NOW IN A VALUABLE NEW EDITION Since publication of the first edition …

Praise for the First Edition" An indispensable addition to any serious collection on lifetime
data analysis and... a valuable contribution to the statistical literature. Highly …

Survival analysis examines and models the time it takes for events to occur, termed survival
time. The Cox proportional-hazards regression model is the most common tool for studying …

This practical guide to survival data and its analysis for readers with a minimal background
in statistics shows why the analytic methods work and how to effectively analyze and …

Multi‐centre databases are making an increasing contribution to medical understanding.
While the statistical handling of randomized experimental studies is well documented in the …

Survival estimates are an essential compliment to multivariable regression models for time-
to-event data, both for prediction and illustration of covariate effects. They are easily …

For designing, monitoring, and analyzing a longitudinal study with an event time as the
outcome variable, the restricted mean event time (RMET) is an easily interpretable, clinically …

This book serves as an introductory guide for students and analysts who need to work with
survival time data. The minimum prerequisites are basic applied courses in linear regression …

Event history data makes it possible to determine at what time periods the event of interest is
most likely to occur as well as to determine why some individuals experience the event …

The purpose of event history analysis is to explain why certain individuals are at a higher
risk of experiencing the event (s) of interest than others. This can be accomplished by using …