Prof. Dr. István Fekete is Professor of Research Methods and Statistics at the Amity University, Kolkata, India. For almost two decades, he has been teaching statistics and working with medical claims data, and leading analysis of clinical studies in both academic and industrial environments. He is the author of textbooks and numerous scientific articles. This book is born out of his interdisciplinary career that spans statistics, psychology, linguistics and Health Technology Assessment (HTA). By integrating his experiences in HTA and research, this book aims to empower readers from various sectors to critically evaluate statistically significant differences through a lens that values meaningful outcomes.
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Transforming Data into Informed Decisions across Clinical and Non-Clinical Domains
István Fekete
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.-...
