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Table 4 Simulation parameters and estimands for different scenarios in simulation study 1. For all scenarios, we set α = 0, βtrt = 3, βep = 1, βM = 1, \({\upsigma}_{\upmu}^2=5\) and \({\upsigma}_{\upvarepsilon}^2=5\)

From: Independence estimators for re-randomisation trials in multi-episode settings: a simulation study

  Parameters Estimand values
Scenario βTRTxEP βTRTxM γ δ \({\upbeta}_E^{AB}\) \({\upbeta}_P^{AB}\) \({\upbeta}_E^{PB}\) \({\upbeta}_P^{PB}\)
Scenario 1: Constant treatment effect 0 0 0 0 3 3 3 3
Scenario 2: Treatment effect varies across episode 1.5 0 0 0 3.5 3.38 3.5 3.38
Scenario 3: Treatment effect varies across patients with different values of Mi 0 3 0 0 5 4.5 5 4.5
Scenario 4: Treatment effect carries forward 0 0 1 0 3 3 3.33 3.25
Scenario 5: Treatment becomes less effective on re-use 0 0 0 -3 2.5 2.63 2 2.25
Scenario 6: Treatment effect varies across episodes, across patients with different values of Mi, carries forward, and becomes less effective on re-use 1,5 3 1 -3 5 4.5 4.83 4.38