Course Information
Course Title: Statistically Sound Calibration Studies, Detection Limits, and Quantitation Limits - Part 2 of 2 - Computer Workshop
Categories: 1 - Data Analysis
2 - Data Management
3 - Environmental Analysis
4 - Liquid Chromatography-Mass Spectrometry
5 - Statistics
6 - Validation
Instructor(s): Lynn Vanatta, David Coleman Course Number: 9
Affiliation: self
Course Date: 03/11/2012 - Sunday Course Length: 1 Day Course
Start Time: 08:30 AM End Time: 05:00 PM
Fee: $455 ($655 after 2/13/12) Textbook Fee:

Course Description
Computers will be available for use in this class. JMP software will be used; an Excel spreadsheet also will be made available and demonstrated. Participants will be shown how to perform calibration/recovery diagnostics, determine prediction intervals (the key to estimating the all-important uncertainty associated with a method), generate Receiver Operating Characteristic (ROC) curves, and compute detection and quantitation limits. Both intra- and inter-laboratory data sets will be used. Suggestions for fulfilling regulatory requirements will also be discussed.

Target Audience
The class is for: analytical chemists, analysts, lab managers, analytical-method developers, regulators, scientists who use analytical measurements, and instrument developers; those wanting hands-on experience in: 1) statistical analysis of calibration and recovery data, 2) calculation of measurement uncertainty, detection limits, and quantitation limits.

Course Outline
1) Review of basic concepts, especially the importance of measurement uncertainty  
2) Performance of calibration diagnostics on data sets 
3) Calculation of detection limits and use of ROC curves 
4) Fulfillment of ISO 17025 measurement-uncertainty requirements for chromatographic and spectrometric methods; discussion of regulatory requirements for measurement uncertainty and detection/quantitation limits  
5) Use of ASTM’s Interlaboratory Detection Estimate and Interlaboratory Quantitation Estimate procedures 
6) Calculation of spike recovery  
7) Use of internal standards with electrospray mass spectrometry  
Throughout the course, emphasis will be on how sound statistics can strengthen a laboratory's reported data.  Prior experience with statistical software is not necessary, although familiarity with such packages would be a plus.  Participants in this workshop should have taken the companion PITTCON short course, “Statistically Sound Calibration Studies, Detection Limits, and Quantitation Limits – Part 1 of 2 – Theory” either at PITTCON 2011 or some previous year.  While the prerequisite will not be enforced, the workshop’s pace will assume that everyone has had the theory portion.  

Course Instructor's Biography
Lynn Vanatta is a research analytical chemist in Dallas, Texas. She specializes in ion chromatography. In 1995, Lynn was a participant in the theory portion of this class. Since then, she has continued to learn statistics from David Coleman; they collaborate on research projects and present their results at international conferences. They have published in Journal of Chromatography A and in 2002, they began writing a bi-monthly statistics column for American Laboratory. Lynn is the chairman of ASTM task groups of Precision and Bias, Measurement Uncertainty, and Semiconductor-Grade Water, and also is a Definitions Advisor. She is on the Scientific Committee of the International Ion Chromatography Symposium, and organized and chaired a conference session for the semiconductor industry from 1997 through 2005; she was Program Chairman of the entire Symposium in 2001, 2002, and 2008, and was co-chairman in 2003, 2004, and 2005. David Coleman is a Sr. Technical Specialist in Statistics in the Applied Stat Group within the Manufacturing Systems and Technology platform at Alcoa Labs. See his bio under the short course, “Statistically Sound Calibration Studies, Detection Limits, and Quantitation Limits – Part 1 of 2 – Theory.”