Real-World Evidence in Medical Product Development
Produktnummer:
18e78490246e12404185bdf42845557626
| Themengebiete: | confounding control design bias machine learning real-world data real-world evidence regulatory science |
|---|---|
| Veröffentlichungsdatum: | 12.05.2023 |
| EAN: | 9783031263279 |
| Sprache: | Englisch |
| Seitenzahl: | 417 |
| Produktart: | Gebunden |
| Herausgeber: | Fang, Yixin He, Weili Wang, Hongwei |
| Verlag: | Springer International Publishing |
Produktinformationen "Real-World Evidence in Medical Product Development"
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.
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