Bioequivalence and Bioavailability Forum

Dear Hsin-ya & Yung-jin,

Wonderful!

Some remarks:
Which dataset are you using (I want to recalculate your results)?
It maybe nice to flag values (i.e., give the subject's no.) in the QQ-plots which are outside ±2·sigma.
Another suggestion would be a plot of ln(predicted) vs. studentized residuals. Such a plot allows the distinction between concordant outliers (T/R similar to the majority of subjects, but both T and R lower or higher than normal = parallel shift in plot) and discordant outliers (T or R lower or higher; suspected formulation failure or subject-by-formulation interaction). For an example see here.

P.S.
In your example pdf for v2.0.1 the labels for time and conc are mixed up (pages 30-32). A suggestion would be to scale both spaghetti-plots (pages 30-31) to the maximum concentration observed in the entire dataset (not within formulations). Then it's easier to compare both formulations visually.