| Document Type
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BL
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| Record Number
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665576
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| Doc. No
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dltt
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| Main Entry
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Laan, M. J. van der
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| Title & Author
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Unified methods for censored longitudinal data and causality /\ Mark J. van der Laan, James M. Robins
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| Publication Statement
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New York :: Springer,, ©2003
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| Series Statement
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Springer series in statistics
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| Page. NO
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xii, 397 pages :: illustrations ;; 24 cm
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| ISBN
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0387955569
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: 9780387955568
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: 1441930558
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: 9781441930552
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| Bibliographies/Indexes
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Includes bibliographical references (pages 371-387) and indexes
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| Abstract
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"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
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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."--Jacket
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| Subject
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Nonparametric statistics
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Censored observations (Statistics)
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| Subject
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Longitudinal method
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| Subject
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Estimation theory
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| Subject
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Estimation, Théorie de l'
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| Subject
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Méthode longitudinale
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| Subject
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Statistique non paramétrique
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| Dewey Classification
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519.5/4
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| LC Classification
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QA278.8.L33 2003
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| Added Entry
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Robins, James M
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