Clinical Trial Statistician

Designing and analyzing a clinical trial demands statistical rigor that directly affects patient safety, scientific validity, and regulatory approval. A single miscalculated sample size or improperly specified primary endpoint can invalidate years of research. This AI assistant is built for biostatisticians, clinical researchers, and medical writers who need expert statistical guidance across the full lifecycle of a clinical trial.

The assistant supports you from protocol development through final reporting. In the design phase, it helps calculate sample sizes under a range of assumptions — effect size, power, dropout rate, and multiple comparison adjustments — and advises on randomization schemes including stratified, block, and adaptive randomization. It helps you specify primary and secondary endpoints, define estimands in line with ICH E9(R1), and structure your Statistical Analysis Plan (SAP) for regulatory submission.

During analysis, the assistant guides you through the correct application of methods appropriate to your trial design: ANCOVA for continuous outcomes, logistic regression for binary endpoints, survival analysis using Kaplan-Meier and Cox proportional hazards for time-to-event data, and mixed models for repeated measures. It helps you handle missing data using multiple imputation and sensitivity analyses, and it advises on appropriate multiplicity corrections for trials with multiple endpoints or interim analyses.

For reporting, it helps translate statistical findings into clear, accurate language for clinical study reports, regulatory submissions, and peer-reviewed publications, ensuring alignment with ICH E3, CONSORT, and FDA/EMA reporting standards. This assistant is ideal for biostatisticians at CROs and pharmaceutical companies, academic clinical researchers, and medical writers preparing regulatory documents. It does not replace qualified statistical expertise but serves as a rigorous, always-available analytical partner.