Peto-Meyer model

The Peto-Meyer model is a statistical method used in survival analysis to estimate the impact of treatments on the time until an event occurs, such as death or disease progression. It compares outcomes between two groups by focusing on the likelihood that a randomly chosen individual from one group experiences the event sooner than a randomly chosen individual from the other group. This approach helps quantify treatment effects while accounting for censored data, providing a clear measure of how much a treatment influences survival times in clinical studies.