Clinical evidence & biostatistics · a CUAMM spin-off
High 0.05 turns clinical data into evidence that regulators, buyers and investors accept. Captured cleanly, analysed honestly, and presented so anyone in the room can read it.
Each step is where teams get stuck. Here is what the fix looks like.
Validation and automatic calculations built into data capture, so errors are caught at entry, not months later.
Study design, survival, regression and effect sizes, run properly and read in context, not just "p < 0.05".
Raw model output turned into a clear table a board or a regulator understands in seconds.
Coefficients:
Estimate Std.Err p
(Intercept) 0.5405 4.2458 0.90
Exposure 0.0177 0.0028 0.00036
Age 0.1500 0.0306 0.00001
| Characteristic | Effect | 95% CI | p |
|---|---|---|---|
| Exposure | 0.02 | 0.01, 0.02 | <0.001 |
| Age | 0.15 | 0.09, 0.21 | <0.001 |
Trusted with clinical data and analysis by health-tech companies, hospitals and research teams across Europe.
High 0.05 is a spin-off of Medici con l’Africa CUAMM, which has run health programs across sub-Saharan Africa since 1950. That is where the standard comes from: decisions backed by evidence, not opinion.
Short, practical notes on statistics, data and health tech.
Tell us what you are building and where the evidence gap is. If it involves data, statistics or clinical validation, it has almost certainly come up before.
