Matching methods to create paired survival data based on an exposure occurring over time: a simulation study with application to breast cancer.

Background: Paired survival data are often used in clinical research to assess the prognostic effect of an exposure. Matching generates correlated censored data expecting that the paired subjects just differ from the exposure. Creating pairs when the exposure is an event occurring over time could be tricky.