Short Course Listings
Short Course

Course Information
Course Title: Statistically Sound Calibration Studies, Detection Limits, and Quantitation Limits
Categories: 1 - Data Analysis
2 - Quality/Regulatory/Compliance
3 - Environmental Analysis
4 - Statistics
5 - Validation
Instructor(s): Lynn Vanatta Course Number: 18
Course Date: 03/06/2016 - Sunday Course Length: 1 Day Course
Start Time: 08:30 AM End Time: 05:00 PM
Fee: $550 ($750 after 2/12/16) Textbook Fee:

Course Description
This class will benefit anyone who must generate or use calibration and recovery curves (i.e., use simple linear regression to relate response data to true concentrations). After a discussion of basic regression principles, participants will learn how to: design calibration/recovery studies, 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. Statistical software will be discussed. Attendees also will gain hands-on experience performing basic regression analyses in Excel (computers and data sets will be provided).

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, and detection and quantitation limits.

Course Outline
1) Basic regression concepts, including the importance of measurement uncertainty
2) Design of calibration/recovery studies
3) Calibration/recovery diagnostics
4) Calculation of detection limits and use of ROC curves
5) Quantitation limits and the reporting of measurement uncertainty
6) Calculation of spike recovery
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.

Course Instructor's Biography
Lynn Vanatta is a retired analytical chemist who now volunteers as a research chemist/statistician. In 1995, Lynn was a participant in a theory-only version of this class; that course was taught by David Coleman, an applied statistician. Subsequently, she continued to learn statistics from David. They collaborated on research projects and presented their results at international conferences. They published in Journal of Chromatography A and, for ten years, wrote a bi-monthly statistics column for American Laboratory. They co-instructed a two-day PITTCON regression class from 2001 through 2013. Lynn is the chairman of ASTM task groups for Precision and Bias, Measurement Uncertainty, and Semiconductor-Grade Water, and also is a Definitions Advisor. She was on the Scientific Committee of the International Ion Chromatography Symposium from 1977 until the meeting’s termination in 2013; she was Program Chairman several years.