Free Live Webinar Series offered by Forensic Technology Center of Excellence
Dates: May 9, May 23, May 30, June 20, July 11, July 18, 2024
In the field of Forensic Toxicology, numerical data and statistics abound, appearing in quantitative analyses, quality control, measurement uncertainty, proficiency testing, method validation, experimental design, peer-reviewed journal articles, business analytics, and more. Foundational statistical knowledge is critical to understanding forensic toxicology work, assessing its significance and reliability, and communicating such to stakeholders. This is not a comprehensive statistics course for forensic toxicologists, nor is it a replacement for formal coursework in mathematics, statistics, or applied statistics. This series attempts to connect statistical terms and concepts to the specific applications of statistics in forensic toxicology in a manner accessible to professionals of all levels of experience. The data and statistical terms commonly encountered in forensic toxicology form the focus of this series.
This six-part series provides a fundamental knowledge base in statistics before advancing into more complex concepts. This series aims to address common questions that arise in forensic toxicology and to increase both the attendees’ confidence of what they know and the awareness of what they have yet to learn. Commonly encountered data types and both descriptive and inferential statistics will be defined and discussed. Practical examples from toxicology applications are presented to help contextualize the terms and concepts.
The series invites participation and questions from live attendees and begins with an overview of basic terms and definitions in Session 1. Next, Session 2 introduces distributions and ways to characterize distributions and data. Session 3 demystifies statistical tests and hypothesis testing. Session 4 digs into the use of quality controls, covering theory, usage and the various elements of control charts. Session 5 covers a specific and practical application of control data, the calculation of Type A data for the estimation of measurement uncertainty, a common source of statistical knowledge uncertainty. The series concludes with a fireside chat with subject matter experts where specific questions and challenges are addressed. Live attendance and questions are highly encouraged.
Register for the series here.