书目名称 | Real-World Evidence in Medical Product Development | 编辑 | Weili He,Yixin Fang,Hongwei Wang | 视频video | | 概述 | A first-of-its-kind, structured end-to-end, comprehensive perspectives from different stakeholders, with real examples.Includes special chapters on estimand, causal inference roadmap, fit-for-purpose | 图书封面 |  | 描述 | .This book provides state-of-art statistical methodologies, practical considerations from regulators and sponsors, logistics, and real use cases for practitioners for the uptake of RWE/D. Randomized clinical trials have been the gold standard for the evaluation of efficacy and safety of medical products. However, the cost, duration, practicality, and limited generalizability have incentivized many to look for alternative ways to optimize drug development. This book provides a comprehensive list of topics together to include all aspects with the uptake of RWE/D, including, but not limited to, applications in regulatory and non-regulatory settings, causal inference methodologies, organization and infrastructure considerations, logistic challenges, and practical use cases.. | 出版日期 | Book 2023 | 关键词 | real-world evidence; real-world data; design bias; confounding control; regulatory science; machine learn | 版次 | 1 | doi | https://doi.org/10.1007/978-3-031-26328-6 | isbn_softcover | 978-3-031-26330-9 | isbn_ebook | 978-3-031-26328-6 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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