1st Edition

Critical Thinking and Creative Analogies in Statistics, Science, and Technology Essential Skills for the AI Era

By Mark Chang Copyright 2026
344 Pages 69 Color & 9 B/W Illustrations
by Chapman & Hall

344 Pages 69 Color & 9 B/W Illustrations
by Chapman & Hall

344 Pages 69 Color & 9 B/W Illustrations
by Chapman & Hall

Through the lens of critical thinking and creative analogy, this book skillfully blends mainstream perspectives with bold, thought-provoking personal insights, offering readers a fresh and engaging perspective on complex topics. By leveraging critical thinking, creative analogies, and practical examples from statistics, medicine, socioeconomics, education, and technology, it bridges the gap... Read more

Chapter 01 Inventive Connections: A Journey Through Analogies 

Chapter 02 The Golden Point for Decision-Making  

Chapter 03 The Art of Randomization  

Chapter 04 An Anti-Polarization Political System Inspired by the Play-the-Winner Strategy  

Chapter 05 Clinical Trial Design and Development: Insights from Game Theory and Stochastic Processes  

Chapter 06 Enhancing Productivity and Economic Growth Through Paradoxical Insights 

Chapter 07 Identifying Biases via Critical Thinking 

Chapter 08 Interesting Yet Challenging in Statistical Modeling 

Chapter 09 Dimensional Analysis Assisted Statistical Modeling 

Chapter 10 Recursive Functions as Self-Referencing Analogies  

Chapter 11 Creative Data Visualization  

Chapter 12 From Brownian Motion to Unified Models: Bridging Scales and Disciplines 

Chapter 13 Quantum Computing Explained via Analogies 

Chapter 14 Dual Forces: Evolution, Devolution, and Feedback Systems  

Chapter 15 What Constitutes Science and Scientific Evidence? 

Chapter 16 The Similarity Principle 

Chapter 17 iWordnet and the Connotation of Understanding  

Chapter 18 Analogy in Artificial Intelligence  

Chapter 19 Analogy-Made Humanized AI  

Chapter 20 Education Shifts and Futuristic Society in the AI Age  

Biography

Mark Chang, PhD, is the founder of AGInception and an adjunct professor of Biostatistics at Boston University. He is an elected fellow of the American Statistical Association, a co-founder of the International Society for Biopharmaceutical Statistics. He previously held various positions in pharmaceutical companies, including Scientific Fellow, executive Director, and Senior Vice President. He is an adaptive design expert and has extensive knowledge in AI for clinical trials. He has published 14 books on artificial intelligence & machine learning, adaptive clinical trial designs, modern issues and methods in biostatistics, paradoxes in scientific inference, and principles of scientific methods