Transforming Data into Informed Decisions across Clinical and Non-Clinical Domains
This book sheds new light on metrics like Minimal Clinically Important Difference (MCID) or Minimal Important Difference (MID) by discussing their application beyond traditional medical fields into non-clinical domains such as education, environmental studies, business analytics, finance, linguistic...
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| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Lenguaje: | inglés |
| Publicado: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Edición: | 1st ed. 2025. |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/978-3-032-02595-1 |
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Tabla de Contenidos:
- Chapter 1. Introduction to Minimal Clinically Important Difference (MCID) and Minimal Important Difference (MID)
- Chapter 2. Theoretical Foundations of MCID and MID: Put the Patient or Client at the Forefront
- Chapter 3. Methodological Approaches to Determine MCID and MID: Improve Data-Driven Decisions
- Chapter 4. MCID and MID in Different Clinical Contexts
- Chapter 5. Advanced Statistical Methods in MCID/MID Research
- Chapter 6. MCID/MID in Health-Technology Assessment (HTA) in Different Countries: Controversies
- Chapter 7. The Role of Minimal Important Difference (MID) in Drug Development Process
- Chapter 8. MID Outside Medicine and Psychology
- Chapter 9. MID in Ecology and Environmental Sciences, Land Use Change and Soil Health
- Chapter 10. Air and Water Quality Improvement
- Chapter 11. MID in Sensor Data
- Chapter 12. MID in the Social Sciences, Linguistics, Education Sciences, and Sociology
- Chapter 13. Biology
- Chapter 14. MID in the Business Sector
- Chapter 15. Economics, Economic Policy, Environmental Economics, Finance, and Health Economics.