Speaker: Dr. Matteo Vidali (IT)
Moderator: Dr. Andrea Padoan (IT)
Webinar manager: Dr. Dganit Itzhaky (IL)
Indirect methods are data mining techniques for establishing reference intervals. Despite limitations (no precise control of the reference population and preanalytical factors, no consensus on the best procedure to select data or the best statistical algorithm), they present many advantages over the traditional direct approach: reduced costs, better matching between preanalytical and analytical conditions with routine conditions, narrower confidence limits, usefulness in specific age groups or with uncommon sample types, possibility to derive continuous reference limits.
In this presentation, advantages, limitations and the main statistical algorithms of the indirect approach will be introduced. The use of indirect methods for reference intervals verification will be discussed.
The webinar is accessible for EFLM Academy members only.
