I recently ran some simulation analyses for a multi-level randomized control trial design in a separate programming software and generated the results. Briefly, the design has a level of clustering at the individual-level and cluster-level. I calculated the power given different combinations of number of clusters and individuals.
What I am wondering is whether it would be possible to plot a power curve given those results, with power on the y-axis, number of clusters on the x-axis, and separate curves for the number of individuals per cluster.
I took a look at some of the commands that are available and the power command seems like a potential candidate: https://blog.stata.com/2019/01/10/ca...-1-the-basics/. However, I am not sure that it accommodates my current situation where I am bringing in results from external to Stata.
Is this something that is workable?
Version: Stata 15.1
Number of clusters | Cluster size | Intervention coefficient | Estimated power |
3 | 5 | 5 | 0.4474474 |
3 | 10 | 5 | 0.7377377 |
3 | 15 | 5 | 0.8538539 |
3 | 20 | 5 | 0.9489489 |
3 | 25 | 5 | 0.982983 |
6 | 5 | 5 | 0.7127127 |
6 | 10 | 5 | 0.956957 |
6 | 15 | 5 | 0.995996 |
6 | 20 | 5 | 0.997998 |
6 | 25 | 5 | 1 |
I took a look at some of the commands that are available and the power command seems like a potential candidate: https://blog.stata.com/2019/01/10/ca...-1-the-basics/. However, I am not sure that it accommodates my current situation where I am bringing in results from external to Stata.
Is this something that is workable?
Version: Stata 15.1
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