(600a) Avoiding Distribution Confusion: Using the Information in Particle Size Distributions
AIChE Annual Meeting
Wednesday, November 13, 2019 - 3:30pm to 3:55pm
By using concepts from nonparametric statistics and information theory, the information loss incurred by using these summary metrics and histogram binning can be quantified. A method is proposed for compressing a high resolution distribution into a summary measure that best captures the underlying particle characteristics. In addition to a theoretical study of information, an example of different summarization approaches applied to a PBPK model for a model API will be presented. The resulting approach of maximizing the value of particle characterization data is a useful methodology for communicating and modeling the behavior of particulate pharmaceutical compounds.