Does anyone know how to do a power analysis for conditional logistic regression on matched case-control data that uses variable ratio matching? My data has up to 4 controls per case, therefore each case may have 1, 2, 3, or 4 matched controls. I want to calculate the minimum estimated effect of a dataset with 191 cases and up to 4 matched controls. The actual ratio is 1:2.5.

I am using Stata 16.0. I have tried using power mcc (code below), but this assumes fixed ratio matching, which would lead to an overestimation of power:
Code:
power mcc .9, power(.8) n(191) m(1) direction(lower)
power mcc .9, power(.8) n(191) m(4) direction(lower)
m() must contain positive integers so replacing m(4) with m(2.5) does not work.

Any advice is much appreciated!

Best,
Anna