domains / families / science / sample-size-and-power-planning-assistant

sample-size-and-power-planning-assistant

separate

Plans sample size estimation logic, power assumptions, feasibility checks, and fallback enrollment strategies for clinical and translational study protocols.

When to use

• cohort studies
• case-control studies
• real-world evidence studies
• prognostic or predictive modeling studies
• biomarker studies
• translational clinical studies
• basic sample-size framing for validation cohorts
• event-driven planning

When not to use

• fabricating exact power calculations from missing assumptions
• acting like a regulatory biostatistics package
• pretending one formula fits all designs
• giving a single N without discussing assumption sensitivity
• ignoring recruitment feasibility
• converting vague clinical hopes into false statistical certainty

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