This book illustrates numerous statistical practices that are commonly used by medical researchers, but which have severe flaws that may not be obvious. For each example, it provides one or more alternative statistical methods that avoid misleading or incorrect inferences being made. The technical level is kept to a minimum to make the book accessible to non-statisticians. At the same time, since many of the examples describe methods used routinely by medical statisticians with formal statistical training, the book appeals to a broad readership in the medical research community.
"This is an excellent book ... written primarily for medical researchers and statisticians working in the medical research sector. ... I'd conclude by extending my hearty congratulations to the author for contributing such a wonderful volume to the biostatistics literature." (Bibhas Chakraborty, International Statistical Review, Vol. 88 (3), 2020)
"This book can be recommended to a statistician that is starting a career in drug development and pharma research, or a statistician in this area willing to receive some food for thought and foster critical thinking." (ISCB News, iscb.info, Issue 70, December, 2020)
"This book can be recommended to a statistician that is starting a career in drug development and pharma research, or a statistician in this area willing to receive some food for thought and foster critical thinking." (ISCB News, iscb.info, Issue 70, December, 2020)