Clinical Biostatistics and Epidemiology Made Ridiculously Simple

As a healthcare professional, I’ve always found biostatistics and epidemiology to be intimidating subjects, but this book makes them incredibly easy to understand! Clinical Biostatistics and Epidemiology Made Ridiculously Simple breaks down complex concepts into clear, concise explanations with humor, mnemonics, and real-world examples that actually stick. The charts, illustrations, and practical applications make learning engaging rather than overwhelming. It’s perfect for medical, nursing, and PA students who need to grasp these topics quickly for exams or clinical practice. While it’s not a deep-dive reference book, it’s the best resource for those who want a straightforward, no-nonsense approach to mastering the basics. Highly recommended!

Perfect for First Year Pharmacy Residents! Found this book Early 2014; so fun to read and refresh your memory. Recommended it use it for a PGY1 Pharmacy Residency Program in a large private hospital. We bought one for each resident and had interactive weekly sessions for about 6 weeks to discuss and provide additional practical examples. This book along with an interactive process was by far a more effective method than going through slides to bring some of the concepts home. Just enough to satisfy the needs of a first year clinical residency program for either pharmacists or physicians and while being fun to read. So happy that a section on Epidemiology along with Chapter 5 on Study Designs are provided since these type studies more closely mimic any clinical research project a one year pharmacy resident can complete. Obviously, more information would be needed for extensive research focus.

This book is a great primer for epidemiology and biostatistics at any level, although it does not go into many biostatistics formulas and calculations. Good humor and easy read.

This book is great. I just started a literature review course, and I was feeling a little overwhelmed by all the biostatistical tests that were being done in all the trials that we were reviewing. I had taken a biostats course, but I barely understood was going on during that time as well. This book gave a simple explanation for most of the tests that were being discussed in the studies and helped me to better understand why the test was being done and what each test was used for. I recommend this book for someone who needs a really simplified explanation of biostats. As the title of the book implies, the author really makes biostats seem ridiculously simple.

This is an extremely well written summary of the key concepts in biostat and epi. If you have very limited time to learn the vocabulary and key concepts this is an excellent study guide. Because there are multiple paragraphs on the key ideas, it is a bit of an injustice to call this an extremely good, well organized, glossary (or *very* abridged encyclopedia) rather than a traditional textbook, but that is not far off the mark. You will not get extended stories to teach you the materials but you will get clear explanations and some nice mnemonics to help you remember the vocabulary.

The title says it all. This book is helpful especially for defining terms. However, it really did not simplify the concepts as much as I had hoped. The text I am using is pretty easy to read and understand. I was hoping this book would breakdown concepts that I find difficult to understand. Instead, it explains them in a manner similar to my text. Also, it's missing information that I need explained that I was surprised not to find. As I said, helpful but not as much as I was hoping.

This is a broad, concise, and laconic overview of clinical biostats. The topics covered in the 95 pages include probability, research design, statistical testing, and regression analysis. In addition, the reader is supported with z-tables, t-tables, and common abbreviations. Ms Weaver includes a clever section on critical assessment of clinical trial data. Adeptly written and highly recommended as a quick guide.

I am in a graduate program that deals with bioimaging and relevant statistical procedures. As an undergrad, I got straight easy "A's" in a high level stat class (for sociology, using SPSS). However, this new course presented formulas and symbols that I thought I already knew, and and I lost sight of the fundamental and simple principles underlying all stats This got me back on track and grounded in the basics in a day or two. *To note again: this book's scope is not going to teach intricate formulas, etc. Thank you!