Sample size, power and TOST for a comparability/equivalence test against a gold standard
I have a historical dataset as a baseline (key product measure) for a manufacturing process, then the process has changed due to optimization. How do I: 1) estimate sample size and power for a comparability study? 2) use TOST to establish if the product from the optimized process produced the same/comparable product? (assuming equal variance between the 2 datasets) For the 1) my current approach ...