Statistics service 01
Sample Size Calculation
Know exactly how many participants your study needs
Determine the number of participants needed to detect a meaningful effect with statistical confidence, so you neither waste resources nor end up underpowered.
- Power analysis for RCTs, cross-sectional, case-control and cohort designs
- Sample size for hypothesis tests, confidence intervals and equivalence / non-inferiority
- Attrition adjustments, clustered designs and multiple comparison corrections
- Written justification paragraph you can paste into a protocol or thesis
Software: G*Power, PASS, nQuery, R (pwr, WebPower, simr)