Meta-Research Methods and Protocols
Meta-Research Methods and Protocols by Evangelos Evangelou, published by Springer US on September 23, 2021, is a comprehensive volume comprising 318 pages in English. This edition presents advanced design, analysis, and integration approaches for biomedical data, focusing on novel statistical models that facilitate the synthesis and assessment of scientific evidence. The book covers essential principles of systematic reviews and introduces various methodologies, including meta-analysis of genetic studies and network meta-analysis.
Readers will find detailed chapters that provide insights into systematic searches and modern data synthesis techniques. Each chapter includes introductions to the topics, necessary materials, and practical tips for troubleshooting common challenges. This work is part of the Methods in Molecular Biology series and aims to guide readers through the critical methods in the fields of science, life sciences, and data science, making it a valuable resource for those interested in bioinformatics and biology.
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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.
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