Aomics · Insights

Clinical data science, written plainly.

Practical articles on adaptive clinical trials, biostatistics, RBQM, statistical programming and AI in clinical research — by Dr. Sakshi Bharti and the Aomics team.

Biostatistics Basics

Type I error, confidence intervals and multiplicity: the inferential basics behind confirmatory trials

A p-value is one small piece of an inferential system. Clinical statisticians need error control, effect estimates, uncertainty intervals and multiplicity.

August 20, 2026 · 3 min read

Biostatistics Basics

Sample size and power: why “more participants” is not a complete statistical strategy

Sample-size calculations are not just formulas. They are structured arguments about effect size, variability, event rates, dropout, errors and clinical.

August 12, 2026 · 3 min read