Last data update: 2014.03.03

 R: Representation of normally distributed endpoints
normEndpR Documentation

Representation of normally distributed endpoints

Description

Represents normally distributed endpoints in clinical trials.

Usage

normEndp(mu, sigma)

Arguments

mu

vector of the expected responses of the treatment groups, should have length K (i.e. one entry for each treatment group).

sigma

vector of the standard deviations in each the treatment group, should have length K (i.e. one entry for each treatment group).

Details

The normEnd function is a constructor function for an S4 object of the class normEnd representing a normally distributed endpoint in a clinical trial. In conjunction with the assess function, normal endpoints admit the calculation of the exact type-I-error probability and power.

See Also

Compute exact or simulated type-I-error: assess.

Results


Created & Maintained by Osamu Ogasawara (osamu.ogasawara@gmail.com) and IMSBIO