| ISBN： | 9780367365479 : |
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| ISBN： | 9781032220086 |
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| 编目源： | LBSOR/DLC DLC DLC |
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| 个人名称： | Yu, Qingzhao, |
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| 题名： | Statistical methods for mediation, confounding and moderation analysis using R and SAS / Edited by Qingzhao Yu and Bin Li. |
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| 版本说明： | First edition. |
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| 出版发行项： | Boca Raton, FL : CRC Press, Taylor & Francis Group, 2022. |
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| 载体形态： | xv, 277 pages : illustrations ; 24 cm. |
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| 一般附注： | "A Chapman & Hall book." |
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| 书目附注： | Includes bibliographical references (pages 267-274) and index. |
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| 格式化内容附注： | A review of third-variable effect inferences -- Advanced statistical modeling and machine learning methods used in the book -- The general third-variable effect analysis method -- The implementation of general third-variable effect analysis method -- Assumptions for the general third-variable analysis -- Multiple exposures and multivariate responses -- Regularized third-variable effect analysis for high-dimensional dataset -- Interaction/moderation analysis with third-variable effects -- Third-variable effect analysis with multilevel additive models -- Bayesian third-variable effect analysis -- Other issues. |
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