Performance Characterization of EDA and Its Potential to Improve Decision Making in Product Batch Release - Good Cascade Impactor Practices, AIM and EDA for Orally Inhaled Products - page 211

Fig. 8.39 MMAD calculated
for each APSD using a
4-parameter logistic curve fit
as shown in Fig. 7.4
Fig. 8.40 Representative APSD histogram and corresponding EDA and grouped-stage metrics
chosen by Christopher-Dey
outcome of the grouped stages predicts MMAD . Similarly, the ability of the EDA
approach to make the correct decision is directly related to the ability of the ratio
metric to predict the value of MMAD .
In the context of hypothesis testing, the null hypothesis presented here is that a
characteristic of the CI data, MMAD (analogous to a population mean), lies within