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Titlebook: Meta-Research; Methods and Protocol Evangelos Evangelou,Areti Angeliki Veroniki Book 2022 Springer Science+Business Media, LLC, part of Spr

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發(fā)表于 2025-3-21 18:49:54 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Meta-Research
副標題Methods and Protocol
編輯Evangelos Evangelou,Areti Angeliki Veroniki
視頻videohttp://file.papertrans.cn/632/631205/631205.mp4
概述Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts
叢書名稱Methods in Molecular Biology
圖書封面Titlebook: Meta-Research; Methods and Protocol Evangelos Evangelou,Areti Angeliki Veroniki Book 2022 Springer Science+Business Media, LLC, part of Spr
描述.This volume presents state-of-the art design, analysis and integration approaches for biomedical data including novel statistical models for a comprehensive and powerful synthesis and assessment of scientific evidence. Chapters detail principles of systematic reviews, semi-automated tools for systematic searches, fixed- and random-effects meta-analytical models, living systematic reviews, meta-analysis of?genetic studies, meta-analysis of pragmatic and explanatory trials, network meta-analysis, and other modern approaches for data synthesis.?Written in the highly successful?.Methods in Molecular Biology?.series format, chapters include introductions to their respective topics, lists of the necessary materials, and tips on troubleshooting and avoiding known pitfalls...?.Authoritative and cutting-edge, the?.Meta- Research: Methods and Protocols. book, written by global experts, will introduce the reader in a step-by-step process to the methods of the vital and highly promising field of evidence synthesis..
出版日期Book 2022
關鍵詞diagnostic studies; Patient Data; prognostic studies; random effects models; heterogeneity
版次1
doihttps://doi.org/10.1007/978-1-0716-1566-9
isbn_softcover978-1-0716-1568-3
isbn_ebook978-1-0716-1566-9Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightSpringer Science+Business Media, LLC, part of Springer Nature 2022
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Meta-Research978-1-0716-1566-9Series ISSN 1064-3745 Series E-ISSN 1940-6029
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Fixed- and Random-Effects Models,els use an inverse-variance weight (variance of the observed effect size). However, given the shared between-study variance used in the random-effects model, it leads to a more balanced distribution of weights than under the fixed-effect model (i.e., small studies are given more relative weight and
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Network Meta-Analysis,nd outputs (e.g., network plots and surface under the cumulative ranking curves [SUCRAs]). In this chapter, we will: (1) explore similarities and differences between pairwise and network meta-analysis; (2) explain the differences between direct, indirect, and mixed treatment comparisons; (3) describ
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