Biostatistics and Data Analysis for Pharmaceutical and Clinical Research
The right tests, 600 dpi figures, and results you can explain at your viva.
Vsolv Research provides biostatistics for pharmaceutical, clinical and laboratory studies. We plan the analysis, calculate sample size, clean and analyse your data in R, SPSS or GraphPad Prism, and deliver results tables, 600 dpi figures and a plain-language explanation so you can present and defend your findings.
Who it is for
- Students and scholars with thesis data
- Clinicians with retrospective or prospective data
- Faculty preparing papers
- Industry teams analysing stability, dissolution, DoE or method validation data
What you receive
- Statistical analysis plan
- Sample size and power calculation
- Data cleaning and coding log
- Analysis: descriptive and inferential tests, ANOVA with post-hoc tests, regression, survival analysis, non-parametric methods, as your data requires
- Publication-style tables
- 600 dpi figures (TIFF, PNG or SVG)
- Methods and results summary for your own write-up
- An explanation call covering every test and result
How the work runs
- Consultation and data check.
- Analysis plan agreed with you before any testing.
- Analysis and draft outputs.
- Review and adjustments.
- Explanation call.
How fees are decided
Your fee depends on: number of variables and outcomes · dataset size and how clean it is · test complexity (mixed models, survival, multivariate) · number of figures · your deadline.
You receive a written scope, agreed timeline and quote within 2 working days of your free consultation.
Scope and limits
We analyse your data as supplied. We do not alter, invent or selectively drop data to reach significance. Patient data must be de-identified, and we sign a data processing agreement where needed, in line with the DPDP Act 2023.
Frequently asked questions
Which statistical test should I use?
It depends on your research question, the type of outcome (continuous, categorical or time-to-event), the number of groups, whether measurements are paired, and how the data are distributed. We choose the test and justify it in the analysis plan before any testing starts.
What format should I send my data in?
Excel or CSV, with one row per subject or sample and one column per variable, plus a short codebook. We also accept SPSS and GraphPad Prism files.
Is my patient data safe?
Send de-identified data only, with no names, phone numbers or hospital IDs. Files are kept on access-controlled storage and deleted after the project on request.
My result is not significant. Can you make it significant?
No. Changing the analysis to chase significance is research misconduct. Non-significant results are publishable, and we help you report them properly with effect sizes and confidence intervals.
Can you explain the results for my viva?
Yes. Every project includes a call where we explain each test and result in plain language.
Do you analyse industry data?
Yes, including stability, dissolution (f1/f2), DoE, process capability and method validation data, under NDA.
Last reviewed 27 September 2026.