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# Making sense of medical statistics: a bite sized visual guide

Posted on 17th August 2022 by

Learning Resources

Did you know that a dispute between gamblers in a dice game in 1654 led to Blaise Pascal and Pierre de Fermat developing the probability theory? I didn’t! These ‘Did you know’ stories are just one of the additions to the book ‘Making sense of medical statistics: a bite sized visual guide’ that bring statistical explanations to life.

The author of this book, Munier Hossain, is a Consultant Orthopaedic Surgeon with an interest in medical education, and has been teaching statistics and evidence-based healthcare for over a decade. In this blog, I will be giving you my personal review of this resource, which was published at the end of 2021.

## Who is the book for and what does it cover?

This book is designed to provide an introduction to statistical concepts and encourage self-directed learning, with the overall aim of giving health professionals a ‘working understanding’ of medical statistics. Each chapter follows the same format which, in my opinion, makes it much easier to navigate. Here’s how they are structured:

• Learning outcomes clearly defined at the beginning of the chapter
• Did You Know? interesting facts, quotes, and anecdotes throughout
• Explanation of the concepts broken up into sections, with figures and charts
• Bullet points in the margins highlighting the main points
• Take home messages
• Bonus section for more advanced learning

I won’t list all of the topics here as, handily, you can check out the . However, a few examples of what you will find are: confidence intervals, risk versus odds, standard deviation and standard error, and the null hypothesis.

There’s a glossary at the end, which I always think is a great addition, and the final chapter is titled ‘Lies, Damned Lies and Statistics – Untangling Facts From Fiction!’ which provides a vital reminder on things to watch out for when you are unravelling a research paper.

And, finally, you can also access even more material online which includes a wealth of additional reading and resources, and details of free software and example data so you can practise data analysis.