Format:
1 Online-Ressource (XVI, 475 Seiten)
ISBN:
9783030334390
Series Statement:
Springer eBook Collection
Content:
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. .
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. .
Additional Edition:
ISBN 9783030334383
Additional Edition:
ISBN 9783030334406
Additional Edition:
ISBN 9783030334413
Additional Edition:
Erscheint auch als Druck-Ausgabe O'Quigley, John Survival analysis Cham, Switzerland : Springer Nature, 2021 ISBN 9783030334383
Additional Edition:
ISBN 9783030334413
Language:
English
Subjects:
Economics
,
Mathematics
Keywords:
Ereignisdatenanalyse
;
Lebensdauerverteilung
;
Risikoanalyse
DOI:
10.1007/978-3-030-33439-0
