Isbn: 9780387202877 - survival and event history analysis: a process point of view (27 risultati)

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Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

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Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Hardback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

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Hardback. Condizione: New. 2008 ed. This book is practical and directed to people who want to apply the methods with reference to computer programs.

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Condizione: New. The book presents the necessary theoretical background without being overly technicalAll topics are covered by thoroughly prepared examples using real data, with ample graphical illustrationsUp-to-date presentation with many new topics, inc.

Hardcover. Condizione: Brand New. 1st edition. 540 pages. 10.00x6.25x1.95 inches. In Stock.

Hardback. Condizione: New. 2008 ed. This book is practical and directed to people who want to apply the methods with reference to computer programs.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The aim of this book is to bridge the gap between standard textbook models and a range of models where the dynamic structure of the data manifests itself fully. The common denominator of such models is stochastic processes. The authors show how counting processes, martingales, and stochastic integrals fit very nicely with censored data. Beginning with standard analyses such as Kaplan-Meier plots and Cox regression, the presentation progresses to the additive hazard model and recurrent event data. Stochastic processes are also used as natural models for individual frailty; they allow sensible interpretations of a number of surprising artifacts seen in population data.The stochastic process framework is naturally connected to causality. The authors show how dynamic path analyses can incorporate many modern causality ideas in a framework that takes the time aspect seriously. To make the material accessible to the reader, a large number of practical examples, mainly frommedicine, are developed in detail. Stochastic processes are introduced in an intuitive and non-technical manner. The book is aimed at investigators who use event history methods and want a better understanding of the statistical concepts. It is suitable as a textbook for graduate courses in statistics and biostatistics. 560 pp. Englisch.…

Hardcover. Condizione: Brand New. 1st edition. 540 pages. 10.00x6.25x1.95 inches. In Stock. This item is printed on demand.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book is practical and directed to people who want to apply the methods with reference to computer programs.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 560 pp. Englisch.

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 986.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The aim of this book is to bridge the gap between standard textbook models and a range of models where the dynamic structure of the data manifests itself fully. The common denominator of such models is stochastic processes. The authors show how counting processes, martingales, and stochastic integrals fit very nicely with censored data. Beginning with standard analyses such as Kaplan-Meier plots and Cox regression, the presentation progresses to the additive hazard model and recurrent event data. Stochastic processes are also used as natural models for individual frailty; they allow sensible interpretations of a number of surprising artifacts seen in population data.The stochastic process framework is naturally connected to causality. The authors show how dynamic path analyses can incorporate many modern causality ideas in a framework that takes the time aspect seriously. To make the material accessible to the reader, a large number of practical examples, mainly frommedicine, are developed in detail. Stochastic processes are introduced in an intuitive and non-technical manner. The book is aimed at investigators who use event history methods and want a better understanding of the statistical concepts. It is suitable as a textbook for graduate courses in statistics and biostatistics.…