title: Estimating analytical variability in two-dimensional data.
abstract: Throughout the course of drug development there are many instances in which a variability assessment within a set of analytical data is required, which may be challenging for techniques that produce two-dimensional data. This note describes an interval-based approach to variability assessment and demonstrates its applicability for analysis of near-UV circular dichroism (CD) spectra. The approach is generalizable and could be applied to two-dimensional data from other analytical techniques as well.
authors: Biopharmaceutical Research and Development, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN 46285, USA.
authors: Ivan L
authors: IL
authors: Budyak
authors: Global Statistical Sciences, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN 46285, USA.
authors: Kristi L
authors: KL
authors: Griffiths
authors: Biopharmaceutical Research and Development, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN 46285, USA. Electronic address: weisswf@lilly.com.
authors: William F
authors: WF
authors: Weiss
mesh_terms: D002942:Circular Dichroism / Q000379:methods*; D008962:Models, Theoretical
keywords: Higher order structure; Interval; Noise reduction; Spectrum