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Viser: Transforming Data into Informed Decisions Across Clinical and Non-Clinical Domains
Transforming Data into Informed Decisions across Clinical and Non-Clinical Domains Vital Source e-bog
István Fekete
(2025)
Transforming Data into Informed Decisions across Clinical and Non-Clinical Domains Vital Source e-bog
István Fekete
(2025)
Transforming Data into Informed Decisions across Clinical and Non-Clinical Domains Vital Source e-bog
István Fekete
(2025)
Transforming Data into Informed Decisions across Clinical and Non-Clinical Domains Vital Source e-bog
István Fekete
(2025)
Transforming Data into Informed Decisions Across Clinical and Non-Clinical Domains
István Fekete
(2025)
Sprog: Engelsk
om ca. 15 hverdage
Detaljer om varen
- Vital Source E-book
- Udgiver: Springer Nature (September 2025)
- ISBN: 9783032025951
Bookshelf online: 5 år fra købsdato.
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- Vital Source 180 day rentals (dynamic pages)
- Udgiver: Springer Nature (September 2025)
- ISBN: 9783032025951R180
Bookshelf online: 180 dage fra købsdato.
Bookshelf appen: 180 dage fra købsdato.
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- Vital Source 90 day rentals (dynamic pages)
- Udgiver: Springer Nature (September 2025)
- ISBN: 9783032025951R90
Bookshelf online: 90 dage fra købsdato.
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- Vital Source 365 day rentals (dynamic pages)
- Udgiver: Springer Nature (September 2025)
- ISBN: 9783032025951R365
Bookshelf online: 365 dage fra købsdato.
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Detaljer om varen
- Hardback
- Udgiver: Springer (September 2025)
- ISBN: 9783032025944
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, linguistics, economics, and biology. It addresses a significant research gap by demonstrating the utility of MCID/MID in enhancing decision-making processes across various scientific fields.
The chapters cover topics such as the theoretical foundations of MCID/MID, methodological approaches for determining these metrics, and their application in diverse contexts. Readers will learn about the importance of MCID in assessing meaningful changes in speech therapy, biology, ecological restoration projects, and more. The book also explores the complexities of Health Technology Assessment (HTA), highlighting methodological diversities and the tension between universal and context-specific thresholds.
Researchers in fields ranging from clinical medicine to social sciences will find this book invaluable. It offers insights into integrating MCID/MID metrics into telemedicine and remote healthcare while addressing underexplored areas in non-clinical research. This volume is a must-read for anyone interested in enhancing data-driven decision-making through meaningful outcomes.