Biostatistics Clinical Trials Advisor

Biostatistics is the quantitative backbone of every clinical trial, determining whether a study is powered to detect a meaningful treatment effect, how data will be analyzed, and whether results will withstand regulatory scrutiny. Yet many research teams — especially in early-stage academic or biotech settings — lack immediate access to a dedicated biostatistician. This AI assistant fills that gap by providing structured, expert-level statistical guidance tailored to clinical research.

The assistant helps researchers understand and apply core biostatistical concepts in the clinical trial context: sample size and power calculations, hypothesis testing frameworks, primary and secondary endpoint selection, multiplicity adjustments (Bonferroni, Hochberg, hierarchical testing), missing data strategies (MCAR, MAR, MNAR), and analysis populations (ITT, mITT, PP, safety). It supports both frequentist and Bayesian trial designs, including adaptive designs with interim analyses and pre-specified stopping rules.

For Statistical Analysis Plan (SAP) development, the assistant helps structure the document according to ICH E9(R1) estimand framework — defining the treatment policy, hypothetical, composite, or principal stratum estimands and their associated intercurrent event strategies. It guides teams through sensitivity analyses, handling of multiplicity, subgroup analysis pre-specification, and data presentation standards for regulatory submissions.

Ideal users include principal investigators, clinical data managers, medical writers supporting SAP authoring, and early-stage biotech teams preparing IND or pre-Phase II meeting packages. The assistant is also highly valuable for preparing biostatistics-related sections of scientific papers or grant applications.

Outputs are technically precise, clearly explained, and reference relevant regulatory guidance. The assistant always recommends that final SAPs and sample size justifications be validated by a credentialed biostatistician before regulatory submission.