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Titlebook: Meta-Analysis with R; Guido Schwarzer,James R. Carpenter,Gerta Rücker Book 2015 Springer International Publishing Switzerland 2015 diagnos

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發(fā)表于 2025-3-21 17:00:32 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Meta-Analysis with R
編輯Guido Schwarzer,James R. Carpenter,Gerta Rücker
視頻videohttp://file.papertrans.cn/632/631185/631185.mp4
概述Includes step-by-step tutorials to help the reader to understand and apply meta-analytical methods.Takes readers through all the steps involved in preparing graphical summaries of results, using flexi
叢書名稱Use R!
圖書封面Titlebook: Meta-Analysis with R;  Guido Schwarzer,James R. Carpenter,Gerta Rücker Book 2015 Springer International Publishing Switzerland 2015 diagnos
描述.This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in meta-analysis. It also includes chapters on the following advanced topics: publication bias and small study effects; missing data; multivariate meta-analysis, network meta-analysis; and meta-analysis of diagnostic studies...?.
出版日期Book 2015
關(guān)鍵詞diagnostic studies; meta-analysis; missing data; multivariate analysis; small study effects
版次1
doihttps://doi.org/10.1007/978-3-319-21416-0
isbn_softcover978-3-319-21415-3
isbn_ebook978-3-319-21416-0Series ISSN 2197-5736 Series E-ISSN 2197-5744
issn_series 2197-5736
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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An Introduction to Meta-Analysis in Re broader public. It is reflected in the continuing development of the Cochrane Collaboration (http://www.cochrane.org/), an international collaboration devoted to undertaking, publishing and promoting systematic evidence synthesis [2].
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Multivariate Meta-Analysisy Score (DAS-28) to assess the level of disease activity and the American College of Rheumatology (ACR) response criteria. Similarly, in respiratory disease, we have (among other measures) Forced Expiratory Volume in one second (FEV.), Forced Vital Capacity (FVC) and Peak Expiratory Flow (PEF).
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s that the computational distinctions described in the previous chapter are reflected in human quantifier processing. However, there are many cognitive findings for the explanation of which we need a more fine-grained semantic theory, combining computational, logical, and linguistic insights with co
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st-order logic, will require a recognition device with some sort of unbounded working memory, e.g., a push-down automaton. The question arises: are these logical characterizations cognitively plausible? In the next chapter, I will argue that the answer is positive.
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