Applied survival analysis: regression modeling of time-to-event data

"Since publication of the first edition nearly a decade ago, analyses using time-to-event methods have increased considerably in all areas of scientific inquiry, mainly as a result of model-building methods available in modern statistical software packages. However, there has been minimal cover...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Beteilige Person: Hosmer, David W. (VerfasserIn)
Weitere beteiligte Personen: Lemeshow, Stanley (MitwirkendeR), May, Susanne (MitwirkendeR)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Hoboken, N.J. Wiley-Interscience 2008
Ausgabe:2nd ed.
Schriftenreihe:Wiley series in probability and statistics
Schlagwörter:
Links:https://learning.oreilly.com/library/view/-/9781118211588/?ar
Zusammenfassung:"Since publication of the first edition nearly a decade ago, analyses using time-to-event methods have increased considerably in all areas of scientific inquiry, mainly as a result of model-building methods available in modern statistical software packages. However, there has been minimal coverage in the available literature to guide researchers, practitioners, and students who wish to apply these methods to health-related areas of study. Applied Survival Analysis, Second Edition provides a comprehensive and up-to-date introduction to regression modeling for time-to-event data in medical, epidemiological, biostatistical, and other health-related research." "Analyses throughout the text are performed using Stata Version 9, and an accompanying FTP site contains the data sets used in the book. Applied Survival Analysis, Second Edition is an ideal book for graduate-level courses in biostatistics, statistics, and epidemiologic methods. It also serves as a reference for practitioners and resarchers in any health-related field or for professionals in insurance and government."--Jacket.
Beschreibung:Includes bibliographical references (pages 365-381) and index. - Print version record
Umfang:1 Online-Ressource (xiii, 392 Seiten) illustrations
ISBN:9780470258019
0470258012
9781118211588
1118211588
9780470258002
0470258004
0471754994
9780471754992