Turning doctors into published researchers.
Statistics taught in clinical language, hands-on analysis in R, and manuscript-standard reporting — the system behind 180+ peer-reviewed publications, now yours at your own pace.
Autumn offer: $85/year $249 · price locked in forever · software is free
Understanding medical statistics well enough to publish is an immense challenge.
What most doctors try
- Waiting for it to click
Hoping it makes sense someday, while colleagues with mentors collect publications and promotions.
- More textbooks
Books written by mathematicians, full of heavy-duty equations that never connect to your patients.
- Residential courses
Weeks of travel and expense for poorly taught concepts you won't remember by Monday.
How this course is different
- It's proven
A mentor whose students have real presentations, prizes, publications and promotions — teaching you the identical system.
- It's clinical
Explained by a practising clinician using clinical examples and interpretation, not equations.
- It's at your own pace
Build genuine, independent skills in analysis, interpretation and presentation — from anywhere.
Five modules. One system for publishable research.
The complete course is live. Each module pairs statistical principles in clinical context with hands-on R analysis and a critical-appraisal exercise.
Classifying and summarising data
Data types, research-ready collection, central tendency and spread — and presenting tables to publication standard.
What you'll learn
- Understand the different data types
- Collect and format research-ready data
- Report central tendency and spread
- Learn R for your data summaries
- Present tables to publication standard
Comparing two or more groups
Hypothesis testing with clinical examples, selecting the correct test, and interpreting P values correctly.
What you'll learn
- Hypothesis testing with clinical examples
- Quantify and report differences between groups
- Select the correct test for independent and paired data
- Learn R to test differences between groups
- Correctly interpret comparisons and P values
Linear regression
Correlation versus association, the linear model, multiple variables, and presenting results for submission.
What you'll learn
- Correlation versus association
- The basic linear regression model
- Interpret results for multiple variables
- Apply R for linear regression
- Present results for submission
Logistic regression
Odds and odds ratios, the logistic model, multiple variables, and reporting results the way journals expect.
What you'll learn
- The logistic model, odds and odds ratios
- Interpret results for multiple variables
- Apply R for logistic regression
- Present results for submission
Survival analysis
Time-to-event outcomes, Kaplan–Meier plots, log-rank tests and Cox regression — the workhorse of clinical papers.
What you'll learn
- Structure time-to-event outcomes
- Kaplan–Meier plots and log-rank tests
- Cox proportional hazards regression
- Apply R for survival analysis
- Present results for submission
Hi, I'm Eric Lim.
I'm a practising clinician and statistician who helps doctors understand medical statistics for research and clinical care.
I started out just like you — without a clue, unable to understand any of it. Twenty years on, I teach statistics at university level, co-author international clinical guidelines, and coach doctors to research success — and I'm proud to watch them go on to prestigious presentations, high-impact publications, academic prizes and job promotions.
If you'll give me the privilege of your trust, make me your mentor and let's get started.
Doctors he's mentored, in their own words.
"Thanks to Professor Lim's mentorship, I achieved milestones that once felt out of reach: national and international presentations, awards, a first-author publication and a national training position."
"Working under his guidance led to multiple high-impact publications, worldwide presentations and two international prizes. He helps you build genuinely practical research skills."
"With Professor Lim's guidance I earned a distinction in my Masters dissertation. Without a doubt this course is ground-breaking for all aspiring researchers."
"I led multiple first-author studies under his supervision, presented at international meetings and published in reputable journals. He makes complex statistics engaging."
The complete course is live. Lock in the autumn price forever.
Subscribe this autumn at a yearly price of less than a cup of coffee a month — and keep it for as long as you stay subscribed.
- 66% off the full price
- Lock in today's price forever
- All five modules included from day one
- Protected from every future price increase
Instant access to the full course · price never rises while you stay subscribed
Questions students ask.
Do I need previous understanding of medical statistics?
No. The course teaches you from scratch, starting from the level of 16-year-old mathematics.
Do I need to spend money on statistics software?
No. You'll learn R — one of the world's most powerful statistical packages — and it's completely free.
What if I have questions on the course material?
Drop-in sessions are being organised for enrolled students — announcements arrive by email.
What do I get when I join?
The complete course — all five modules, S1 through S5 — the moment you subscribe, plus any future content we add, at your locked-in price.
Your research deserves to be published.
Join today for $85 — less than a cup of coffee a month — and lock in the autumn price forever.
Join Statistics Course$85/year this autumn · normally $249