Librería: Magus Books Seattle, Seattle, WA, Estados Unidos de America
EUR 55,12
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Añadir al carritoHardcover. Condición: VG. used hardcover copy in illustrated boards, no jacket, as issued. light shelfwear, corners perhaps slightly bumped. pages and binding are clean, straight and tight. there are no marks to the text or other serious flaws.
Librería: Better World Books, Mishawaka, IN, Estados Unidos de America
Original o primera edición
EUR 75,42
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Añadir al carritoCondición: Very Good. 1st Edition. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Librería: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Alemania
EUR 150,00
Cantidad disponible: 1 disponibles
Añadir al carritogebundene Ausgabe. Condición: Gut. 396 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 745.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 160,42
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Añadir al carritoCondición: New. In.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 175,89
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 160,41
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Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 178,39
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 181,49
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Añadir al carritoCondición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 181,56
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: moluna, Greven, Alemania
EUR 174,48
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. During the last decades, there has been an explosion in computation and information technology. This development comes with an expansion of complex observational studies and clinical trials in a variety of fields such as medicine, biology, epidemiology, soc.
Idioma: Inglés
Publicado por Springer New York Jan 2003, 2003
ISBN 10: 0387955569 ISBN 13: 9780387955568
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 242,88
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. Neuware - During the last decades, there has been an explosion in computation and information technology. This development comes with an expansion of complex observational studies and clinical trials in a variety of fields such as medicine, biology, epidemiology, sociology, and economics among many others, which involve collection of large amounts of data on subjects or organisms over time. The goal of such studies can be formulated as estimation of a finite dimensional parameter of the population distribution corresponding to the observed time- dependent process. Such estimation problems arise in survival analysis, causal inference and regression analysis. This book provides a fundamental statistical framework for the analysis of complex longitudinal data. It provides the first comprehensive description of optimal estimation techniques based on time-dependent data structures subject to informative censoring and treatment assignment in so called semiparametric models. Semiparametric models are particularly attractive since they allow the presence of large unmodeled nuisance parameters. These techniques include estimation of regression parameters in the familiar (multivariate) generalized linear regression and multiplicative intensity models. They go beyond standard statistical approaches by incorporating all the observed data to allow for informative censoring, to obtain maximal efficiency, and by developing estimators of causal effects. It can be used to teach masters and Ph.D. students in biostatistics and statistics and is suitable for researchers in statistics with a strong interest in the analysis of complex longitudinal data.