Case Studies & Example Workflows
Representative, real-world inspired analytics workflows showing how teams use Sigma BioAnalytics to design studies, clean data, and generate regulatory-ready insights — without spreadsheets or custom code.
How Teams Use Sigma in Practice
The examples below illustrate common analytical workflows supported by the Sigma platform. All case studies are anonymised and representative — designed to demonstrate methodology, transparency, and regulatory alignment rather than disclose client data.
What Teams Are Achieving With Sigma
A selection of real-world inspired workflows illustrating how the platform delivers value across study design, PK/PD modeling, RWE, and automated reporting.
Validated Sample Size & Power Exploration
A biotech team explored multiple design scenarios using Sigma’s built-in sample size engine — generating power curves, sensitivity analyses, and protocol-ready justification in minutes.
- Binary & continuous endpoints
- 80% / 90% power sensitivity
- Automated PDF & Word reports
Clinical Trial Benchmarking & RWE Insights
A clinical strategy group benchmarked protocol assumptions against historical trials — comparing enrolment, duration, and success rates using Sigma’s Clinical Trial Intelligence workflows.
- Trial similarity matching
- Survival & outcome benchmarking
- HTA-ready summaries
Automated Data Cleaning & QC
A CRO automated anomaly detection, missing data checks, and data validation workflows — producing a clean analysis-ready dataset with full audit trails.
- Missingness profiling
- Outlier & anomaly detection
- Transformation & Visualisation
- Merging & appending several datasets
- Report + clean dataset export
Apply These Workflows to Your Study
Use Sigma independently through a monthly subscription, or combine the platform with expert statistical support.