Advanced Survival Models

Catherine Legrand

Advanced Survival Models
Format
Hardback
Publisher
Taylor & Francis Ltd
Country
United Kingdom
Published
23 March 2021
Pages
334
ISBN
9780367149673

Advanced Survival Models

Catherine Legrand

Survival data analysis is a very broad field of statistics, encompassing a large variety of methods used in a wide range of applications, and in particular in medical research. During the last twenty years, several extensions of classical survival models have been developed to address particular situations often encountered in practice. This book aims to gather in a single reference the most commonly used extensions, such as frailty models (in case of unobserved heterogeneity or clustered data), cure models (when a fraction of the population will not experience the event of interest), competing risk models (in case of different types of event), and joint survival models for a time-to-event endpoint and a longitudinal outcome.

Features

Presents state-of-the art approaches for different advanced survival models including frailty models, cure models, competing risk models and joint models for a longitudinal and a survival outcome

Uses consistent notation throughout the book for the different techniques presented

Explains in which situation each of these models should be used, and how they are linked to specific research questions

Focuses on the understanding of the models, their implementation, and their interpretation, with an appropriate level of methodological development for masters students and applied statisticians

Provides references to existing R packages and SAS procedure or macros, and illustrates the use of the main ones on real datasets

This book is primarily aimed at applied statisticians and graduate students of statistics and biostatistics. It can also serve as an introductory reference for methodological researchers interested in the main extensions of classical survival analysis.

This item is not currently in-stock. It can be ordered online and is expected to ship in approx 2 weeks

Our stock data is updated periodically, and availability may change throughout the day for in-demand items. Please call the relevant shop for the most current stock information. Prices are subject to change without notice.

Sign in or become a Readings Member to add this title to a wishlist.