Survival analysis : proportional and non-proportional hazards regression /

Survival analysis : proportional and non-proportional hazards regression /

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Bibliographic Details
Author / Creator:	O'Quigley, John, author.
Imprint:	Cham, Switzerland : Springer, [2021]
Description:	1 online resource (xvi, 475 pages) : illustrations (some color).
Language:	English
Subject:	Regression analysis. Hazardous substances -- Risk assessment. Hazardous substances -- Risk assessment. Regression analysis. Electronic books.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12612517

Hidden Bibliographic Details
ISBN:	9783030334390 3030334392 3030334384 9783030334383
Notes:	Includes bibliographical references and index. Online resource; title from PDF title page (SpringerLink, viewed May 13, 2021).
Summary:	This book provides an extensive coverage of the methodology of survival analysis, ranging from introductory level material to deeper more advanced topics. The framework is that of proportional and non-proportional hazards models; a structure that is broad enough to enable the recovery of a large number of established results as well as to open the way to many new developments. The emphasis is on concepts and guiding principles, logical and graphical. Formal proofs of theorems, propositions and lemmas are gathered together at the end of each chapter separate from the main presentation. The intended audience includes academic statisticians, biostatisticians, epidemiologists and also researchers in these fields whose focus may be more on the applications than on the theory. The text could provide the basis for a two semester course on survival analysis and, with this goal in mind, each chapter includes a section with a range of exercises as a teaching aid for instructors. .
Other form:	Print version: 9783030334383
Standard no.:	10.1007/978-3-030-33439-0

Table of Contents:

Introduction
Survival analysis
Survival without covariates
Proportional hazards models
Proportional hazards models in epidemiology
Non-proportional hazards models
Estimating equations
Survival given covariate information
Regression effect process
Model construction guided by regression effect process
Hypothesis tests based on regression effect process.