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Webinar: Biostatistics and Bioinformatics Seminar – ‘Estimating the Reference Range from a Meta-Analysis using Aggregate or Individual Participant Data’

December 8, 2021, 12:00 pm to 1:00 pm

Presented by: Lianne Siegel, PhD, Assistant Professor of Biostatistics, University of Minnesota

About the presentation: Clinicians frequently must decide whether a patient’s measurement reflects that of a healthy “normal” individual. Thus, the reference range is defined as the interval in which some proportion (frequently 95%) of measurements from a healthy population is expected to fall. One can estimate it from a single study, or preferably from a meta-analysis of multiple studies for better generalizability. This range differs from the confidence interval for the pooled mean or the prediction interval for a new study mean in a meta-analysis, which do not capture natural variation across healthy individuals. We present three approaches for estimating the reference range: a frequentist, a Bayesian, and an empirical method. Each method can be applied to either aggregate or individual participant data meta-analysis, with the latter being the gold standard when available. We illustrate these approaches using a clinical scenario about the normal range of a liver stiffness test and evaluate their performance using a simulation study.

To join via phone, dial: 929-205-6099.

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Meeting ID is 948 6098 2030 and the passcode is 320367


December 8, 2021
12:00 pm to 1:00 pm
Event Category:


Department of Public Health Sciences
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