"This book is designed not only for a conceptual understanding of scientific fundamental principles behind the methods, but also to introduce some innovative applications from different fields. The book fits for a wide range of audiences who do not have any mathematics or statistics backgrounds. As written by an experienced statistician from pharmaceutical industry, the book provides an insightful overview of the current practices of experimentation and statistical inferences in pharmaceutical drug development, and also the concepts and rationales of the innovative methods beyond the pharmaceutical research and development. This is a useful reference book to inspire the readers of creative thinking by the great ideas behind the scientific methods. In summary, this is a useful reference book on understanding the scientific principles. This book contains a very good collection of innovative scientific methods and applications. The intuitive figures and diagrams are helpful to understand the concepts and the italic-face font for the definitions facilitates the review." --Journal of Biopharmaceutical Statistics, 2015 ".

the section on misconceptions and pitfalls in statistics is a must-read. The book is at its best when discussing examples, paradoxical questions, or philosophical issues, and Chang puts good emphasis on statistics-related topics: publication bias, the Monty Hall problem, regression to the mean, and multiple testing issues all find a place for discussion." --Significance, February 2015 ". best used as a text for a course in the principles of scientific methods for both students in science and the humanities, and instructors could expand in their lectures on material that the book expresses in a lapidary style. Moreover, even those who use the book for self-study would find that the extra effort they may need to devote to the work would be well rewarded. Summing Up: Recommended. Lower-division undergraduates through researchers/faculty." --R.

Bharath, Northern Michigan University in CHOICEMarch 2015, Vol. 52 No. 7 "As researchers interested in medicine, theoretical mathematical statistics can be somewhat grim and distant from professional medical activity, closer to the world of biology. However, Principles of Scientific Methods, by Mark Chang, discusses in a way comprehensible for nonmathematical professionals, the paradigms behind the methods of scientific research, such as the current mode of so called ''evidence-based medicine''. It is an excellent work to introduce people to principles of research, with plentiful graphics." --Journal of Applied Statistics,February 28, 2017 ts and the italic-face font for the definitions facilitates the review." --Journal of Biopharmaceutical Statistics, 2015 ". the section on misconceptions and pitfalls in statistics is a must-read.

The book is at its best when discussing examples, paradoxical questions, or philosophical issues, and Chang puts good emphasis on statistics-related topics: publication bias, the Monty Hall problem, regression to the mean, and multiple testing issues all find a place for discussion." --Significance, February 2015 ". best used as a text for a course in the principles of scientific methods for both students in science and the humanities, and instructors could expand in their lectures on material that the book expresses in a lapidary style. Moreover, even those who use the book for self-study would find that the extra effort they may need to devote to the work would be well rewarded. Summing Up: Recommended. Lower-division undergraduates through researchers/faculty." --R. Bharath, Northern Michigan University in CHOICEMarch 2015, Vol.

52 No. 7 "As researchers interested in medicine, theoretical mathematical statistics can be somewhat grim and distant from professional medical activity, closer to the world of biology. However, Principles of Scientific Methods, by Mark Chang, discusses in a way comprehensible for nonmathematical professionals, the paradigms behind the methods of scientific research, such as the current mode of so called ''evidence-based medicine''. It is an excellent work to introduce people to principles of research, with plentiful graphics." --Journal of Applied Statistics,February 28, 2017 rewarded. Summing Up: Recommended. Lower-division undergraduates through researchers/faculty." --R.

Bharath, Northern Michigan University in CHOICEMarch 2015, Vol. 52 No. 7 "As researchers interested in medicine, theoretical mathematical statistics can be somewhat grim and distant from professional medical activity, closer to the world of biology. However, Principles of Scientific Methods, by Mark Chang, discusses in a way comprehensible for nonmathematical professionals, the paradigms behind the methods of scientific research, such as the current mode of so called ''evidence-based medicine''. It is an excellent work to introduce people to principles of research, with plentiful graphics." --Journal of Applied Statistics,February 28, 2017.