Biostatistics in Practice
Cut through medical headlines, clinical trials, and epidemiological data with confidence. Learn how biostatisticians separate genuine health discoveries from random chance, confounding factors, and statistical noise.
Like Duolingo, but for Biostatistics in Practice. Tomo turns the whole topic into a game you play five minutes a day, until it actually sticks.
22 levels across 4 sections, about 44 minutes end to end, roughly 9 days at five minutes a day. It moves through Making Sense of Health Numbers, Testing Hypotheses and Evaluating Treatments, Disentangling Cause from Coincidence, and Designing Studies and Ensuring Scientific Integrity. It starts from scratch.
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Key ideas in Biostatistics in Practice
- Absolute risk is the actual difference between two event rates (2% minus 1% equals 1 percentage point)
- Relative risk compares the change directly to the starting baseline (a drop from 2% to 1% is a 50% proportional reduction)
- A large relative increase (like 50%) can represent a very small change in baseline absolute risk
- Going from 2 in a million to 3 in a million is a 50% relative increase, even though the absolute danger remains tiny
- Number Needed to Treat (NNT) equals 1 divided by the absolute risk reduction
- If a treatment benefits 1 out of every 20 people treated (a 5% absolute reduction), the NNT is 20
- Incidence measures new cases appearing over a specific span of time
- Prevalence measures all existing cases present at a single specific moment or snapshot
- In long health studies, participants often enter late, drop out, or are lost to follow-up
- Using simple headcounts distorts disease rates when not everyone is tracked for the full duration
- Person-time adds up the actual time contributed by each individual participant while under observation
- Even when measuring instruments are flawless, different healthy individuals have genuinely distinct baselines due to genetics, diet, and physiology
- Biological variation represents real organismal differences, unlike measurement error which stems from faulty tools or technique
- Clinical biomarkers often have strong rightward skews because a few severe patients have massively elevated levels while healthy floors prevent negative values
- The mean gets dragged toward extreme values, misrepresenting what is typical for the majority of patients
- The median reflects the middle patient without being pulled by extreme outliers, making it paired with the interquartile range (IQR) the standard summary for skewed clinical data
You've tried the other tabs
Thirty open tabs. Four facts you actually kept.
You watched. You nodded. By Sunday it was gone.
One answer, then back to scrolling.
Eight weeks. You meant to finish. You didn't.
Tomo gives Biostatistics in Practice the Duolingo treatment: levels, streaks, and quick quizzes that test what you just learned. That game loop is what the tabs above never had, so it's the one you actually finish.
Here's what playing it feels like
A real question from this course. Take your best guess.
A medicine drops your chance of sickness from 2% down to 1%. What is the absolute risk reduction?
Get it right to open this lesson and 21 more in the app.
How to learn Biostatistics in Practice, step by step
Go in order. 22 short levels across 4 sections, about 44 minutes in all, five minutes a day.
- 1
Making Sense of Health Numbers
- Reading Medical Risk and Rates
- Summarizing Messy Biological Data
- 2
Testing Hypotheses and Evaluating Treatments
- Deciding If a Treatment Truly Works
- Selecting the Right Test for Clinical Data
- 3
Disentangling Cause from Coincidence
- Isolating Real Effects from Confounders
- Tracking Risk and Survival Over Time
- 4
Designing Studies and Ensuring Scientific Integrity
- Study Power, Sample Size, and Research Traps
4 sections · 7 units · 22 levels. Built to play, not to enroll.
Questions about Biostatistics in Practice
How do I learn Biostatistics in Practice?
Go in order: start with Making Sense of Health Numbers, then Testing Hypotheses and Evaluating Treatments, then Disentangling Cause from Coincidence, then Designing Studies and Ensuring Scientific Integrity. On Tomo that's 22 short levels, about 44 minutes in all, played five minutes a day. Start free and play the first level in under a minute.
Is there a Duolingo-style app for Biostatistics in Practice?
Yes. Tomo works like Duolingo: short daily lessons, streaks and quick quizzes. Biostatistics in Practice is one of its free courses, and you can type any other topic to get a course of your own.
Is the Biostatistics in Practice course free?
Yes. Biostatistics in Practice is playable on Tomo's free plan, which doesn't expire. No credit card, no waitlist. Download the app and start your first lesson.
How long does it take to learn Biostatistics in Practice?
22 levels across 4 sections, about 44 minutes of play in total. It's built for five minutes a day, so you finish it a little at a time instead of all at once.
Do I need any background to start Biostatistics in Practice?
No. It's pitched at a beginner level, so it starts where you are and builds up. If you can tap a phone, you can start.
Tomo is in ChatGPT
Tomo is also a ChatGPT plugin: the same playable courses, built and played inside your chat.
Add Tomo to ChatGPT- What to ask
- “Make me a Tomo course on black holes.” “Turn this chat into a Tomo course.”
- What you get
- Quick questions with instant feedback, hearts and stars, ready to play in about a minute.
- Where it goes
- No sign-up to start. Connect your Tomo account and your streak carries on in the app.
You pick the voice
Biostatistics in Practice is taught in the Explain Like I'm 5 style: no big words. promise.. Want a different feel? In the app you can spin up the same topic in any of Tomo's teaching styles. Same facts, totally different vibe.
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Start Biostatistics in Practice today.
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