Survival analysis : proportional and non-proportional hazards regression / John O'Quigley.
O'Quigley, John, author.
2021
QA278.2
Available Online

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Title Survival analysis : proportional and non-proportional hazards regression / John O'Quigley.
Author O'Quigley, John, author.
ISBN 9783030334390 (electronic bk.)
3030334392 (electronic bk.)
3030334384
9783030334383
DOI https://doi.org/10.1007/978-3-030-33439-0
Published Cham, Switzerland : Springer, [2021]
Language English
Description 1 online resource (xvi, 475 pages) : illustrations (some color).
Other Standard Identifiers 10.1007/978-3-030-33439-0 doi
Call Number QA278.2
Dewey Decimal Classification 519.536
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. .
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed May 13, 2021).
Available in Other Form Print version: 9783030334383
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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.

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