Statistical consultancy
From the research question to an interpretable result
SciLab brings expertise in study design, survey and field data, biostatistics and modelling to research and programme evaluation. Enquiries may concern a new study, an existing dataset, a modelling question or the preparation of an analytical report.
Expertise
- Study design and sampling: experimental design, demographic surveys and field data collection.
- Statistical analysis: regression, model diagnostics, survival analysis and multivariate methods.
- Biological and population modelling: nonlinear growth, infectious disease and demographic processes.
- Evidence for policy: performance evaluation, monitoring and the interpretation of public health data.
- Research communication: analytical reports, documented methods and presentation of findings.
Selected assignments
Public health intelligence
The July 2026 CV records a modelling consultancy with the Health Information Systems Program, South Africa, for the Africa CDC Public Health Intelligence Report, beginning in 2023.
Evidence-based policy in Oyo State
A 2018 consultancy addressed data-driven performance evaluation and evidence-based policy for sustainable development in Oyo State.
Forest sampling and wood-volume estimation
Work through the Centre for Environment, Renewable Natural Resources Management, Research and Development included field experiment design, sampling and plantation resource analysis. The CV records a wood-volume estimation assignment for LAFARGE and WAPCO PLC, with a report submitted in February 2012.
Start a conversation
In your enquiry, outline the research or programme question, the data available, the intended output and any deadlines. Avoid sending confidential participant records in an initial email.