Health researchers · Public-health teams · Postgraduate students · Clinical and population research teams
Biostatistics consultation
Choose statistical methods you can explain with confidence.
For health, population, clinical and survey research where the statistics must be appropriate, transparent and understandable to a supervisor, reviewer or decision-maker.
Book a consultation ↗
- Research question, protocol or proposal
- Outcome, exposure/predictor and design definitions
- Available sample-size assumptions or de-identified dataset context
Define the decision → Check assumptions → Make reporting clear
One focused decision can be reviewed in a clinic. Full design or analysis support is scheduled after objectives, data readiness and review complexity are scoped.
Start with a KSh 2,000 focused clinic. Project quotations use the same scope-based method for Kenyan and international clients.
Do not place patient or participant identifiers in the public form. Any sensitive data requires an agreed lawful, minimum-necessary workflow.
- Regulatory submission representation
- Clinical decision-making
- Guaranteed sample adequacy or significant results
Substantial projects include one methods/results review and a seven-calendar-day correction window for factual or agreed-scope errors.
What you leave with
Clearer work. A more confident next move.
- A method choice that fits your outcome, exposure and study design
- A plain-language explanation of assumptions and limitations
- A reporting plan for tables, results and interpretation
The session flow
Define the decision
We identify the outcome, predictors, comparison groups and the evidence your question really needs.
Check assumptions
We discuss distribution, sample size, missingness, independence and the limits of the available data.
Make reporting clear
You get a route for presenting estimates, uncertainty and conclusions without overstating results.
Questions, answered
Can you help with sample size?
Yes. Bring the intended outcome, design, expected effect or prevalence and practical recruitment limits.
Can you help with regression or survival analysis?
Yes, when the research question and dataset are suitable. Method choice is discussed before analysis begins.
Will this replace my supervisor?
No. It gives technical support that complements your supervisor's academic guidance.
Review the quality and reliability method behind the service.
Scope acceptance, immutable source data, issue decisions, assumption checks, human QA and versioned reporting are part of the operating model.