March 2, 2021 at h. 18.00 CET (duration 1 h)
Speaker: Matteo Vidali (IT)
Moderator: Andrea Padoan (IT)
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ABSTRACT: 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.
ABOUT THE SPEAKER :
Matteo Vidali works at the Central Laboratory, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milano.
He is the coordinator of the Italian Working Group on “Statistics for the Laboratory” of the Italian Society of Clinical Biochemistry and Clinical Molecular Biology (SIBioC).
His research activities include: application of statistical techniques and machine learning algorithms to laboratory medicine; analytical method development and validation; analytical method comparison; analytical quality; instrument alignment development of software tools for Laboratory Medicine.