Statistics for Health Care Professionals is an accessible guide to understanding statistics within health care practice. Focusing on quantitative approaches to investigating problems, the book introduces the basic rules and principles of statistics. Challenging the notion that statistics are often incomprehensible and complex to use, the authors begin by presenting a 'how to' section explaining how specific statistical tests can be performed. They also help readers to understand the language of statistics, which is often a stumbling block for those coming to the subject for the first time. The reader is taught how to calculate statistics by hand as well as being introduced to computer packages to make life easier, and then how to analyse these results. As the results of health care research are so integral to decision-making and developing new practice within the profession, the book encourages the reader to think critically about data analysis and research design, and how these can impact upon evidence based practice. This critical stance is also crucial in the assessment of the many reports and documents issued within the health industry. statistical techniques throughout, and the exercises within and at the end of each chapter help readers to learn and to develop proficiency. There is also a glossary at the end of the book for quick and easy referencing.
I read this book for school. I have never taken a formal statistics class, although my job is a lot of statistics. I mostly listened to this book using an e-reader on Iphone, which is annoying at best to listen to and incomprehensible at worst. However, being in a time crunch to get this course done, I listened to it on my commute.
This is listed as an introductory book, and it is, although many of the concepts were completely new to me. I don't know how useful this will be in my line of work, but I found it very interesting in learning how studies are accomplished and how we, even as laymen, can learn a lot about the validity of studies from the proper use of statistics. I am skeptical of a lot of studies as they often seem to be contradictory to "other" studies depending on what the author of the study has to prove. This book helped me to know what to look for in a study (not necessarily in a facebook article with click bait headlines!) to evaluate whether it seems to be valid.