Finally understand the statistics behind every paper you read, every guideline you follow, and every study you want to run, even if you have always found statistics confusing.
A plain-English guide that skips the heavy maths and focuses on what actually matters at the bedside and in the literature. It takes you from "I switch off at the methods section" to reading, judging, and using statistics with quiet confidence.
$29 • Instant download • Lifetime access • Read on any device
After teaching medical statistics at the University of Rome Tor Vergata, Italy, for three years as a Visiting Professor, I decided to release everything I taught my students in one practical guide.
I watched bright, capable doctors freeze at the word "statistics", not because they could not do it, but because nobody had ever shown them the practical version. The one that matters in clinic, in journal club, and in the literature.
This book is that version. No heavy maths. No jargon for its own sake. Just what you actually need to read research, judge it properly, and start your own.
- Dr Simona Ippoliti
You are in the right place if…
If you have ever thought…
"I learned statistics for the exam, then forgot all of it."
"I skip the methods and results and just read the conclusion."
"I would love to do research, but the stats part terrifies me."
"I am not even sure I am reading this p-value correctly."
…you are not alone, and it is not your fault. Most of us were taught statistics as a maths subject to survive, not as a clinical tool to use. So we memorised formulas, passed the exam, and quietly hoped we would never need them again. Then the papers, the guidelines, the audits and the research projects arrived, and the numbers came back.
This book closes that gap. It explains what the numbers mean in practice, so you can read the literature, defend your decisions, and run your own work with confidence.
12 practical chapters, plus 2 included appendices. Each one focused on what actually matters.
→ Know your variable types and why they decide everything that follows.
→ Read mean, median, SD and IQR the way papers actually report them.
→ Understand the curve that sits underneath most clinical statistics.
→ See how a small study can speak about a whole population, and when it cannot.
→ Finally interpret a p-value correctly, and stop over-trusting it.
→ The single decision that makes or breaks a study, made simple.
→ Tell association from prediction, and spot when a line is being oversold.
→ Make sense of relative risk, odds ratios and confidence intervals at a glance.
→ Read Kaplan-Meier curves and hazard ratios with confidence.
→ Understand sensitivity, specificity and predictive values for real decisions.
→ Match the right design to your question, from RCT to cross-sectional.
→ Go from a PICO question to a protocol, ethics, and a sensible sample size.
A practical tour of the software (free and paid: JASP, jamovi, Excel, SPSS, R) and the new AI assistants, with copy-and-paste prompts to choose a test, check assumptions and sense-check your numbers, plus how to protect patient data before anything touches a cloud tool.
Exam-style multiple-choice questions drawn from the material Simona taught, with worked answers, so you can test yourself chapter by chapter.
Throughout the book: Clinical Tips, Key Learning Points, Self-Check boxes and real study examples, so each idea sticks.
Clear tables, worked clinical examples, and tips you can use the same day.
Visiting Professor, Clinical Research Fellow, and founder of Your Research Coach. Simona has taught this exact material to medical students at the University of Rome Tor Vergata, and now coaches doctors internationally to read, write and publish research with confidence.
I asked a doctor to review the book before release. This is their honest, impartial feedback.
Understand the statistics, read the evidence, and take your first confident step into research.
$29 • Instant download • Lifetime access
Yes. The book deliberately skips heavy calculation and focuses on understanding and interpretation. If you can read a clinical paper, you can follow this.
This is a foundations book, built to get you started: reading papers confidently and planning a first, sound study. It will not turn you into a senior statistician, and it does not pretend to. For complex trials you will still want a statistician, and the book shows you how to work well with one.
Almost certainly. Most of us passed by memorising. This is the practical version you actually use at journal club, in audit, and in your own research.
It is a downloadable guide you can read on your laptop, tablet or phone. Lifetime access, yours to keep.
None to start. Appendix A covers excellent free tools and AI assistants, and exactly how to use them safely with patient data.
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These strategies are based on real-world workflows that have been tested and used across a wide range of professional, academic, and everyday tasks. However, results will vary depending on your starting point, the tools you use, how well you apply the strategies, and the specific goals or circumstances you are working towards. This guide does not guarantee publication, journal acceptance, research approval, statistical significance, or specific academic outcomes. It should not replace formal statistical advice, institutional guidance, ethics committee requirements, or support from a qualified supervisor, statistician, or research team where needed.