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

- Lower and upper bounds for the correlation when the correlation is assumed equal in the two groups
- Lower and upper bounds for the correlation when the correlation for each group
- Probability of the composite endpoint
- Probability of the overlap: probability of the intersection of both outcomes.
- Relative overlap: the ratio between the probability of the intersection and the probability of the composite endpoint.

- The use of a binary composite endpoint and sample size requirement: influence of endpoints overlap. JM Marsal, G. Gómez, I. Ferreira-González.

American Journal of Epidemiology. doi: 10.1093/aje/kww105. - 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.