For each composite component, the user is prompted for the anticipation of: the probability of having the event (or an interval in which this probability takes values); the effect relevant to detect (measured either by the odds ratio, risk ratio or risk difference). The correlation between the components is also required.

- P1, the probability of successes for the Endpoint1 in Control Group
- P2, the probability of successes for the Endpoint2 in Control Group
- D1, the effect on the Endpoint1
- D2, the effect on the Endpoint2
- rho, correlation between Endpoint1 and Endpoint2

- Effect Size for each composite component
- Effect Size for the composite endpoint given the correlation value
- Effect Size for the composite endpoint given the correlation category

- A new approach for sizing trials with composite binary endpoints using anticipated marginal values and accounting for the correlation between components. M. Bofill Roig, G. Gómez Melis.

Statistics in Medicine. doi: 10.1002/sim.8092.