Terry M. Therneau, Patricia M. Grambsch

Modeling Survival Data: Extending the Cox Model

• Broschiertes Buch

Produktbeschreibung

Extending the Cox Model is aimed at researchers, practitioners, and graduate students who have some exposure to traditional methods of survival analysis. The emphasis is on semiparametric methods based on the proportional hazards model. The inclusion of examples with SAS and S-PLUS code will make the book accessible to most working statisticians.

Produktdetails

• Statistics for Biology and Health
• Verlag: Springer / Springer New York / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4419-3161-0
• 2000
• Seitenzahl: 368
• Erscheinungstermin: 1. Dezember 2010
• Englisch
• Abmessung: 234mm x 156mm x 20mm
• Gewicht: 564g
• ISBN-13: 9781441931610
• ISBN-10: 1441931619
• Artikelnr.: 32212568

Inhaltsangabe

Estimating the Survival and Hazard Functions.- The Cox Model.- Residuals.- Functional Form.- Testing Proportional Hazards.- Influence.- Multiple Events per Subject.- Frailty Models.- Expected Survival.

Rezensionen

From the reviews: TECHNOMETRICS "I would be curious to know how many people bought the book by Fleming and Harrington (1991) and by Anderson, Borgan, Gill, and Keiding (1993) when they first appeared hoping for an introduction to the subject. Instead we all should have saved our money and waited fir this volume by Therneau and Grambsch...This book can serve as a useful reference for statistical practitioners who encounter survival data and for researchers who want to update their knowledge in modern survival analysis...The writing style is light and almost humorous in many places. We get the feeling that the authors had a lot of fun writing this book. If only it was available a decade ago." STATISTICAL METHODS IN MEDICAL RESEARCH "In short, this is an exciting book, which introduces and illustrates some recent developments in surviavl analysis. The authors maintain an informal and good-humoures style, making the book very easy to read, and insist on a hands-on approach which encourages the reader to re-work examples. I would recommend it to any statistician analysing survival data." SHORT BOOK REVIEWS "The authors ... have laid out for us the wealth of their practical experience at all levels; the numerical aspects; computer algorithms; evaluation of different methods and connections between them; possible pitfalls; and interpretation of the results. Remarkable insights abound. This book completes that of P. Hougaard by giving much detail on actual fitting of the models discussed by him. It will serve two audiences: the busy practitioner who has not had time to catch up with martingale theory and counting processes and the graduate student who has just completed such a course and who needs to be introduced to the practicalities and judgements needed in data analysis. It is likely to become a well-thumbed copy on the statistician's desk and statistical practice will be the better for it." STATISTICS IN MEDI.