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<p dir="auto">[News from our website: <a href="https://www.osc.uni-muenchen.de/news/held/index.html">https://www.osc.uni-muenchen.de/news/held/index.html</a>]</p>
<h2>Upcoming talk "The harmonic mean chi-squared test to substantiate scientific findings"</h2>
<p dir="auto">by Prof. Dr. Leonhard Held, Professor of Biostatistics at the University of Zurich and Director of the Center for Reproducible Science</p>
<p dir="auto"><strong>Abstract</strong>:</p>
<p dir="auto">Statistical methodology plays a crucial role in drug regulation. Decisions by the FDA or EMA are typically made based on multiple primary studies testing the same medical product, where the two-trials rule is the standard requirement, despite a number of shortcomings. A new approach is proposed for this task based on the (weighted) harmonic mean of the squared study-specific test statistics. Appropriate scaling ensures that, for any number of studies, the null distribution is a chi-squared distribution with one degree of freedom. Further properties are discussed and a comparison with the two-trials rule is made, as well as with alternative research synthesis methods. An attractive feature of the new approach is that a claim of success requires each study to be convincing on its own to a certain degree depending on the significance level and the number of studies. A real example with 5 clinical trials investigating the effect of Carvedilol for the treatment of patients with moderate to severe heart failure patients is used to illustrate the methodology. As a by-product, the approach provides a calibration of the sceptical p-value recently proposed for the analysis of replication studies.</p>
<p dir="auto"><strong>Speaker</strong>:</p>
<p dir="auto">Leonhard Held is Professor of Biostatistics at the University of Zurich and Director of the Center for Reproducible Science.</p>
<p dir="auto"><strong>When</strong>: 5.2.2020 von 16:00 - 18:00 Uhr<br>
<strong>Where</strong>: Luisenstrasse 37, Raum C006</p>
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