paperback. Zustand: Good. minor wear and creasing.
Anbieter: BooksRun, Philadelphia, PA, USA
Hardcover. Zustand: Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
paperback. Zustand: Very Good. Cover and edges may have some wear.
Sprache: Englisch
Verlag: Springer-Verlag Publishing, 2001
ISBN 10: 0387987843 ISBN 13: 9780387987842
Anbieter: Salish Sea Books, Bellingham, WA, USA
Zustand: Very Good. Very Good; Hardcover; Light wear to the covers; Unblemished textblock edges; Name on front endpaper, otherwise the endpapers and all text pages are clean and unmarked; The binding is excellent with a straight spine; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Purple and yellow covers with title in white lettering; 2001, Springer-Verlag Publishing; 350 pages; "Modeling Survival Data: Extending the Cox Model (Statistics for Biology and Health)," by Terry M. Therneau & Patricia M. Grambsch.
Anbieter: Phatpocket Limited, Waltham Abbey, HERTS, Vereinigtes Königreich
EUR 124,03
Anzahl: 2 verfügbar
In den WarenkorbZustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Sprache: Englisch
Verlag: Springer New York, Springer US, 2010
ISBN 10: 1441931619 ISBN 13: 9781441931610
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.