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Survival Analysis: Proportional and Non-Proportional Hazards Regression /

Survival Analysis: Proportional and Non-Proportional Hazards Regression /
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Field name Details
Dewey Class 003.3
Title Survival Analysis ([EBook] :) : Proportional and Non-Proportional Hazards Regression / / by John O'Quigley.
Author O'Quigley, John
Other name(s) SpringerLink (Online service)
Edition statement 1st ed. 2021.
Publication Cham : : Springer International Publishing : : Imprint: Springer, , 2021.
Physical Details XVI, 475 p. 60 illus., 13 illus. in color. : online resource.
ISBN 9783030334390
Summary Note 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. .:
Contents note 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.
Mode of acces to digital resource Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format.
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site https://doi.org/10.1007/978-3-030-33439-0
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