Health data analysis and biostatistics
From raw data to reliable findings, EpidataLab delivers reproducible statistical analyses tailored to public health and healthcare questions.
Building trustworthy datasets
Before analysis, we assess data quality, formats, duplicates, missing values and variable consistency. A clean, documented dataset reduces errors and strengthens interpretation.
Selecting the right statistical approach
Descriptive analysis, comparisons, regression, multivariable modelling, time series and complex survey methods are selected according to the research question, study design and data limitations.
Making findings understandable
Results come with clear tables and visualisations, accessible interpretation and reproducible scripts. This gives your team reliable evidence for decisions, publications and further research.
Support tailored to your needs
Scope, methods and deliverables are defined with you to produce a proportionate, understandable and directly usable solution.
We can help with:
- Data cleaning and quality checks
- Descriptive and multivariable analysis
- Complex surveys and weighting
- Reproducible, documented R scripts
Connected expertise
This expertise can be combined with our other analysis, visualisation and development services.
Explore all servicesAbout EpidataLabTell us about your data analysis needs.
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