Statistical support for health and clinical research
Quantitative methodology for outcomes, binary and time-to-event endpoints, repeated measures, missing follow-up, sample planning, and reproducible analysis. This is statistical support, not medical advice.
Common quantitative decisions
The method depends on the question, measurement, sampling, outcome, and dependence structure. The same field can require very different analysis paths.
- Outcome and estimand definition
- Missing follow-up and censoring
- Regression, survival, and longitudinal structure
How support is matched to context
Work begins by translating the substantive goal into measurable quantities and an explicit analysis plan. Diagnostics and limitations are interpreted in the language of the study, without crossing into domain advice outside the statistical scope.
- Clarify the intended inference
- Map the design and data structure
- Select and check an appropriate model
Relevant services
These service areas commonly connect to this research context.
Discuss research in this field
Bring the research question, design, or existing output. A first review can identify the next statistical decision and the information needed to scope it.