Hakon gjessing (31 résultats)

Etat : 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.

Etat : 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.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : New.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New. In English.

Etat : New.

Etat : New. In English.

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

Paperback. Etat : New. 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. Softcover reprint of hardcover 1st ed. 2008. …

Etat : 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.

Buch. Etat : Neu. Druck auf Anfrage 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.…

Taschenbuch. Etat : Neu. Druck auf Anfrage 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.…

Etat : New. pp. 560.

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

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

Paperback. Etat : New. 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. Softcover reprint of hardcover 1st ed. 2008. …

Etat : As New. Unread book in perfect condition.

Paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Etat : As New. Unread book in perfect condition.

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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. Etat : Brand New. 1st edition. 540 pages. 10.00x6.25x1.95 inches. In Stock. This item is printed on demand.

Taschenbuch. Etat : 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 Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg 560 pp. Englisch.

Etat : New. Print on Demand pp. 560 Illus.