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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Multistate Models for the Analysis of Life History Data | Richard J Cook (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2020 | CRC Press | EAN 9780367571726 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Multistate Models for the Analysis of Life History Data provides the first comprehensive treatment of multistate modeling and analysis, including parametric, nonparametric and semiparametric methods applicable to many types of life history data. Special models such as illness-death, competing risks and progressive processes are considered, as well as more complex models. The book provides both theoretical development and illustrations of analysis based on data from randomized trials and observational cohort studies in health research. Key Features: Discusses a wide range of applications of multistate models.Presents methods for both continuously and intermittently observed life history processes.Gives a thorough discussion of conditionally independent censoring and observation processes.Discusses models with random effects and joint models for two or more multistate processes.Discusses and illustrates software for multistate analysis that is available in RTarget audience includes those engaged in research and applications involving multistate models. 440 pp. Englisch.
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Richard Cook is Canada Research Chair in Statistical Methods for Health Research at the University of Waterloo. He has received the Gold Medal of the Statistical Society of Canada and is a Fellow of the American Statistical Association. .
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Multistate Models for the Analysis of Life History Data provides the first comprehensive treatment of multistate modeling and analysis, including parametric, nonparametric and semiparametric methods applicable to many types of life history data. Special models such as illness-death, competing risks and progressive processes are considered, as well as more complex models. The book provides both theoretical development and illustrations of analysis based on data from randomized trials and observational cohort studies in health research. Key Features: Discusses a wide range of applications of multistate models.Presents methods for both continuously and intermittently observed life history processes.Gives a thorough discussion of conditionally independent censoring and observation processes.Discusses models with random effects and joint models for two or more multistate processes.Discusses and illustrates software for multistate analysis that is available in RTarget audience includes those engaged in research and applications involving multistate models.