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Titlebook: Unified Methods for Censored Longitudinal Data and Causality; Mark J. Laan,James M. Robins Book 2003 Springer Science+Business Media New Y

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發(fā)表于 2025-3-23 09:55:53 | 只看該作者
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發(fā)表于 2025-3-24 02:09:35 | 只看該作者
https://doi.org/10.1007/978-0-387-21700-0Censoring; Computerassistierte Detektion; Estimator; Maxima; Radiologieinformationssystem; Regression ana
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Unified Methods for Censored Longitudinal Data and Causality978-0-387-21700-0Series ISSN 0172-7397 Series E-ISSN 2197-568X
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發(fā)表于 2025-3-24 12:10:10 | 只看該作者
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Introduction,ence times are right censored by lost -to-follow-up. In such a trial, . is often high dimesional because the study protocol specifies comprehensive laboratory and clinical measurements be taken monthly. In such settings, the use of non-or semiparametric models for . that do not model the components
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發(fā)表于 2025-3-24 19:17:28 | 只看該作者
Book 2003e 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 lin
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發(fā)表于 2025-3-25 02:14:53 | 只看該作者
0172-7397 arly attractive since they allow the presence of large unmodeled nuisance parameters. These techniques include estimation of regression parameters in the familiar (multivariate) generalized lin978-1-4419-3055-2978-0-387-21700-0Series ISSN 0172-7397 Series E-ISSN 2197-568X
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