Critical Thinking and Creative Analogies in Statistics, Science, and Technology

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 between abstract theory and real-world applications.
Each chapter is concise and impactful, cutting straight to the essence of the subject. Thought experiments and vivid examples illuminate key concepts, making them both accessible and actionable. Whether you're seeking clarity, inspiration, or a deeper understanding, this book delivers powerful, thought-provoking content that will leave a lasting impression.
Key Features: - A harmonious balance of mainstream views and provocative personal insights - Creative analogies paired with practical examples from medicine and other fields - Concise, clear, and practical chapters that focus on core ideas, enriched with thought experiments and real-world applications - A progressive approach, moving from simple daily decision-making to the development of integrated, humanized AI - Chapter exercises designed to reinforce concepts through hands-on practice

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