Platform Tutorials
Practical, step-by-step walkthroughs showing how to use Sigma BioAnalytics to clean data, design studies, and generate regulatory-ready outputs — without writing code.
Learn by Doing
Each tutorial follows a real analytical workflow — from raw data or study assumptions to validated, exportable results suitable for protocols, reports, and regulatory submissions.
Data Cleaning Studio
Learn how to assess data quality, handle missingness, and produce clean, auditable datasets ready for analysis.
- Upload clinical or observational datasets
- Missing data & outlier detection
- Imputation strategies & audit trails
- Clean dataset & report export
Sample Size & Trial Design
Step through common design scenarios and learn how to justify assumptions transparently.
- Binary, continuous & time-to-event endpoints
- Superiority & non-inferiority designs
- Sensitivity & dropout analysis
- Protocol-ready PDF / Word outputs
PK/PD & Bioequivalence
Walk through PK analysis and bioequivalence workflows commonly used in early-phase development.
- 1- & 2-compartment PK models
- AUC / Cmax analysis
- Bioequivalence decision rules
- Regulatory-aligned outputs
Clinical Trial Intelligence (CTI)
Learn how to benchmark protocols against historical trials and explore feasibility and competitive landscapes.
- Trial similarity matching
- Outcome & duration benchmarking
- Site & investigator intelligence
- Strategic decision support
Advanced & Regulatory Workflows
End-to-end examples designed for regulated submissions and complex analytical scenarios.
- Bayesian borrowing & prior evaluation
- Post-hoc & subgroup analysis
- HTA-aligned RWE workflows
- Audit-ready reporting pipelines
Want a Guided Walkthrough?
Book a live demo or speak with a statistician to see how these workflows apply to your study or programme.