Bioequivalence and Bioavailability Forum

dear Helmut,

Thanks you for your encouragement.

❝ Which dataset are you using (I want to recalculate your results)?

The data we used to test "outlier function" was the one built-in in bear. So it should be easy to find out from previous version of bear (e.g., v2.0.1..) Plz wait just a few days after we release the new version.

❝ It maybe nice to flag values (i.e., give the subject's no.) in the QQ-plots which are outside +2sigma.

Exactly. We have started adding this (subject labellings) into the normal probability plots (Q-Q plots) before I posted the previous message in this Forum. Indeed it will be easier to identify outliers if it can be done so.

❝ Another suggestion would be a plot of ln(predicted) vs. studentized residuals. Such a plot allows the distinction between (...)

What a fantastic idea ! In your slides, you even provide much more information about outlier detection than the textbook of Chow SH, Liu JP. "Design and Analysis of Bioavailability and Bioequivalence Studies", 3rd ed. (Chapman & Hall/Crc Biostatistics Series). Looks like that it's the great presentation you just made in India. Lucky audiences in that meeting. Just no budget to go this time .

❝ (...)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)(...)

Oops! it's funny mixed-up with labeling of x, y-axis. Yes, we will fix these soon. We want to thank you again for your valuable comments.