PharmaSchool Sample Size Calculator

Type: Binary Superiority/Difference

The calculator below is to determine the sample size for a 2 arm, randomised, parallel group trial with the outcome variable being binary. For example: response/no response or success/failure. The sample size shown will be the number of subjects needed to detect a difference between two groups in the outcome variable.

HELP: If you would like help in completing the sample size calculation click help on. Help On
Type		Binary Yes/No Type Variable (e.g. response vs no response)
Design		Parallel Group
Objective		Difference/Superiority
Expected % in Group A	(a)	%
Expected % in Comparator Group	(b)	%
Significance Level (%)	(c)	% (usually 5%)
Desired Power Level	(d)	%
Withdrawal/Non-evaluable rate	(e)	%
NOTE: If we get a large number of users and/or shares then we will add more sample size calculators to the website and make these free to ALL users.

Binary Difference | Binary Non-inferiority | Continuous Difference