Reproducible Research
Generate automated reports that are fully reproducible. R Markdown is a flexible tool that integrates statistical analysis and reporting. PDF, HTML, Presentation slides or even standard document formats can be dynamically and consistently generated.
Statistical Analysis
We support the whole research pipeline from experimental design, sample size calculation, preparation of Statistical Analysis Plans (SAP) as well as pre-clinical to clinical statistical analysis. Our statistical expertise includes but is not limited to linear and non-linear regression, methods…
Read moreStatistical Programming
We have expertise in writing and validating statistical analysis programs in both R and SAS. Especially in R, we can automate routine analyses -such as titer computation, visualization of routine animal experiments data, analysis of assay bridging and comparability experiments-…
Read moreBio-assay Support
Bio-assays play a significant role in pharmaceutical scientific research and have therefore to be fit for purpose. They should not only quantify the outcome of interest with precision, but should consistently do so in repeated use. We are skilled in…
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We guarantee fast, efficient and quality statistical support.
Expertise Highlights
Management
The founder and lead statistician. He holds a Ph.D in Statistics and Msc. in Biostatistics from Hasselt university, Belgium and a Bsc. Mathematics and Computer Science from JKUAT, Kenya. He has vast experience as a bio-statistician in a leading global pharmaceutical company in Belgium and The Netherlands, especially in pre-clinical/ early discovery programs.
He holds a Master of Biostatistics from Hasselt university, Belgium and a Bsc. Statistics from Moi University, Kenya. He has several years of experience as a data manager and statistician for the Kenya Medical Research Institute and as a senior statistician with a leading European Contract Research Organization.
Ken Mwai is a data scientist completing his Ph.D. in Biostatistics with an MSc in Biostatistics from University of the Witwatersrand. He obtained a bachelor’s degree from Jomo Kenyatta University of Agriculture and Technology in Mathematics and Computer science with a specialization in Statistics. He has extensive experience working with international health and financial research institutions on statistical analysis, machine learning and dynamic data visualizations using interactive dashboards.




