To look for a bias between 2 different machines measuring the same variable.
an individual performs 3 or 4 spirometric blows (fev1, FTC and peak flow are measured with each blow). Two of the blows have to be reproducible (within 150ml for fev1 and Fvc and say 40l/s peak flow). The best results are picked from the combination of blows. This is repeated during the same day on another machine. I could just do a repeated measures t-test of the overall result on each machine and a bland & Altman to compare the level of agreement between machines But this doesn’t take into account of the individual variability as each individual performs at least 3 blows on each machine. Any ideas of what statistical approach to use to compare the agreement between machines?
A repeated measures design with multiple repeats on two different machines or time points would involve having the same subjects participate in the same experiment multiple times, with each repetition taking place on a different machine or at different points in time. This would allow researchers to compare results across different machines or time points and examine if any differences exist between them. It is important to note that for this type of study to be valid, it is important that the conditions and stimuli remain as consistent as possible across all repetitions.
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