Isn’t Bland-Altman simpler to use than regression?
That’s the claim being made by advocates of the Bland-Altman approach. They think that regression is too complicated because the slope and intercept can be affected by lack of linearity, presence of outliers, and a narrow range of test results. On the other hand, Bland-Altman analysis requires the use of t-test statistics to make a quantitative estimate of systematic error. Remember that this estimate of bias is reliable only at the mean of the data if there is any proportional error present. It turns out that a difference plot must be very carefully constructed if an objective decision is to be made about method performance.
