Making decisions before data collection
A precise research question helps determine outcomes, comparison groups and measurement times. Together, we examine which conclusions your design supports and which influencing factors need attention. Sample-size planning uses explicit assumptions. The planned analysis should be established before the results are known.
Making the analysis reproducible
We support data preparation, model selection and the assessment of statistical assumptions. Repeated measurements, missing values and multiple hypotheses are handled according to the study design. Results are interpreted through effect sizes, uncertainty and clear figures. An interesting p-value alone does not answer the substantive question.
Understanding and defending the methods
The collaboration can range from a methods consultation to a jointly developed analysis. You receive explanations, traceable analysis code and a clear distinction between planned and exploratory analyses. Decisions on ethics, consent and scientific responsibility remain with the appropriate people and institutions.
What our work can deliver
- Reasoned study and analysis plan
- Traceable statistical analysis
- Discussion of results and limitations