Applied statisticians in many fields frequently analyze time-to-event data. While the statistical tools presented
in this book are applicable to data from medicine, biology, public health, epidemiology, engineering, economics
and demography, the focus here is on applications of the techniques to biology and medicine.
The analysis of survival experiments is complicated by issues of censoring and truncation. The use of counting
process methodology has allowed for substantial advances in the statistical theory to account for censoring and
truncation in survival experiments. This book makes these complex techniques accessible to applied researchers
without the advanced mathematical background. The authors present the essentials of these techniques, as well as
classical techniques not based on counting processes, and apply them to data.
The second edition contains some new material as well as solutions to the odd-numbered revised exercises. New material
consists of a discussion of summary statistics for competing risks probabilities in Chapter 2 and the estimation
process for these probabilities in Chapter 4. A new section on tests of the equality of survival curves at a fixed
point in time is added in Chapter 7. In Chapter 8 an expanded discussion is presented on how to code covariates
and a new section on discretizing a continuous covariate is added. A new section on Lin and Ying's additive hazards
regression model is presented in Chapter 10. We now proceed to a general discussion of the usefulness of this book
incorporating the new material with that of the first edition.
Table of Contents
Examples of Survival Data
Basic Quantities and Models
Censoring and Truncation
Nonparametric Estimation of Basic Quantities
Estimation of Basic Quantities for Other Sampling Schemes
Topics in Univariate Estimation
Tests Based on Comparing Observed and Expected Hazard Rates
Semiparametric Proportional Hazards Regression with Fixed Covariates
Refinements of the Semiparametric Proportional Hazards Model
Additive Hazards Regression Models
Regression Diagnostics
Parametric Methods for Survival Analysis
Multivariate Survival Analysis
