[News from our website: https://www.osc.uni-muenchen.de/news/workshop_privacy11/index.html] We have a few free places for the: # Workshop: "Design of Replication Experiments" led by Leonhard Held, Charlotte Micheloud and Samuel Pawel (University of Zurich) Abstract: Statistical power is of central importance in assessing the reliability of science. Appropriate design of a replication study is key to tackling the replication crisis as many such studies are currently severely under-powered. The workshop will describe standard and more advanced methods to calculate the required sample size of a replication study taking into account the results of an original discovery study. Participants will learn how to use the R-package ReplicationSuccess. Prerequisites include basic R-knowledge and familiarity with concepts of statistical inference. *Trainer*: Leonhard Held is Professor of Biostatistics at the University of Zurich and Director of the Center for Reproducible Science. Charlotte Micheloud and Samuel Pawel are PhD students developing new methodology for the design and analysis of replication experiments. **When**: February 6th 2020, 8am-12pm **Where**: Richard-Wagner-Straße 10, Room D105, 80333 München **Interested to participate? Please sign-up** by sending an email to Prof. Ulrich Mansmann ulrich.mansmann@lmu.de --- This workshop comes as a "bundle" with a talk by Leonhard Held:

##Upcoming talk "The harmonic mean chi-squared test to substantiate scientific findings"

by Prof. Dr. Leonhard Held, Professor of Biostatistics at the University of Zurich and Director of the Center for Reproducible Science

**Abstract**:

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.

**Speaker**:

Leonhard Held is Professor of Biostatistics at the University of Zurich and Director of the Center for Reproducible Science.

**When**: 5.2.2020 von 16:00 - 18:00 Uhr **Where**: Luisenstrasse 37, Raum C006

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