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Survival analysis = proportional and...

O'Quigley, John.

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Survival analysis = proportional and non-proportional hazards regression /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Survival analysis/ by John O'Quigley.
Reminder of title:	proportional and non-proportional hazards regression /
Author:	O'Quigley, John.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xvi, 475 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Regression analysis. -
Online resource:	https://doi.org/10.1007/978-3-030-33439-0
ISBN:	9783030334390

Survival analysis = proportional and non-proportional hazards regression /
O'Quigley, John.

Survival analysisproportional and non-proportional hazards regression /[electronic resource] :by John O'Quigley. - Cham :Springer International Publishing :2021. - xvi, 475 p. :ill. (some col.), digital ;24 cm.

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.

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.

ISBN: 9783030334390

Standard No.: 10.1007/978-3-030-33439-0doiSubjects--Topical Terms:

529831
Regression analysis.

LC Class. No.: QA278.2 / .O685 2021

Dewey Class. No.: 519.536

Survival analysis = proportional and non-proportional hazards regression /
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245 1 0 $a Survival analysis $h [electronic resource] : $b proportional and non-proportional hazards regression / $c by John O'Quigley.
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300 $a xvi, 475 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
650 0 $a Regression analysis. $3 529831
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