Good day,
I am attempting to do a simulation analysis to calculate the sample size for a stepped-wedged randomized control trial. The trial is designed such that there are repeated measures of individuals that are nested in clusters. In other words, there are three levels in this multi-level model. I have already defined the number of steps, step length, etc., and I have a number of different input parameters that I want to test (i.e. different numbers of clusters), but I was wondering if anybody has any experience or reference papers that they can share on how to properly generate the artificial data. I know the steppedwedge command exists (A menu-driven facility for power and detectable-difference calculations in stepped-wedge cluster-randomized trials), but I don't think that is what I am looking for...Any suggestions would be greatly appreciated.
I am attempting to do a simulation analysis to calculate the sample size for a stepped-wedged randomized control trial. The trial is designed such that there are repeated measures of individuals that are nested in clusters. In other words, there are three levels in this multi-level model. I have already defined the number of steps, step length, etc., and I have a number of different input parameters that I want to test (i.e. different numbers of clusters), but I was wondering if anybody has any experience or reference papers that they can share on how to properly generate the artificial data. I know the steppedwedge command exists (A menu-driven facility for power and detectable-difference calculations in stepped-wedge cluster-randomized trials), but I don't think that is what I am looking for...Any suggestions would be greatly appreciated.
