Analysing your data
Statistical Analysis for Health Research
The wrong test or an unexplained number can sink a paper in peer review. We review your statistical plan, run the analysis and explain the results so you can defend them.
What we do
From statistical plan to interpretation.
- Review of your statistical analysis plan
- Sample size calculation
- Choosing appropriate methods for your design and data
- Running the analysis
- Handling missing data so your inferences hold up
- Interpreting results and preparing tables and figures
Why it matters
Fewer questions from reviewers.
Incorrect analysis is a common reason for rejection, and it can hide findings your data actually support. Good statistics lowers that risk and can surface new, publishable conclusions.
Pair this with research methodology consultation before you collect data, or with medical writing once the results are in.
Next step
Have data you’re not sure how to analyse?
Tell us about your study in a free call and we’ll quote the analysis.