Statistics service 03
Clinical Biostatistics
End-to-end statistics for clinical and health research
From raw clinical data to publication-ready outputs, with the assumption checks and sensitivity analyses reviewers ask for.
- Descriptive and inferential analysis for every data type
- Parametric and non-parametric testing matched to the study design
- Regression modelling: linear, logistic, Poisson, ordinal and multinomial
- Model diagnostics, assumption checking, outlier detection and sensitivity analysis
Software: R, SPSS, STATA, Python