Continuous Marker Logistic Power

This program uses simulation to approximate the power of a test of a marker association with binary outcome data assuming an logistic regression model.

For further details, view the Help Document.

User Input

Program Output

Input values in yellow boxes and click button to calculate power:

Number of Simulations

Total Sample Size

Alpha Level

Response Probability (marker value = 0)

Effect Size (Odds Ratio per Unit)

Unit
Interquartile Range (IQR)
Unstandardized Unit

Sided
1
2

Marker Distribution
Uniform
Normal
Log-Normal (see details)

Log-Normal Distribution Parameter

Show Log-Normal Distribution
No
Yes

Help Document