Let's add n to this table too, just to make sure we are doing the right thing (and also fix the data table).

[oesteban]

          Let's add n to this table too, just to make sure we are doing the right thing (and also fix the data table).

Originally posted by @oesteban in #38 (comment)

[celprov]

@oesteban you can take care of this when you deleted the duplicated IQMs and regenerate the BA plot, the table is generated by the same code

defacing-and-qc-analysis/statistical_analysis/IQMs/bland_altman_plot.py

Line 285 in 85979b8

stats.append({"Name": key, "Bias": md, "loa_lower": loa_lower, "loa_upper": loa_upper, "ci_lower": ci_lower, "ci_upper": ci_upper, "ci_lower_non_param": ci_lower_non_param, "ci_upper_non_param": ci_upper_non_param})

[oesteban]

Sure, that'd be easy for the data table but I'm more concerned about the data actually.