“The multiplicity of analysis strategies jeopardizes replicability: Lessons learned across disciplines”

We would like to invite you to the next event in our Open Science lecture series. On July 13 at 11 am, Dr. Sabine Hoffmann from LMU Munich will give a talk entitled “The multiplicity of analysis strategies jeopardizes replicability: Lessons learned across disciplines”. 

Scientific work over the past decade has shown that many effects considered robust in empirical sciences such as psychology, medicine, and biomedicine cannot be found again in replications. This raises questions about their veracity, but also questions about the reasons for differences between study results. In her talk, Dr. Sabine Hoffmann will discuss one possible reason for this: The diversity of accepted strategies in data analysis. In addition to describing the reasons for this diversity, the talk will also address the criteria by which analysis strategies should be selected in order to increase the likelihood of replicability. The talk will be based on Ms. Hoffmann’s publication of the same name: https://royalsocietypublishing.org/doi/10.1098/rsos.201925

The event will take place in WebEx.

Information about the speaker:

Dr. Sabine Hoffmann is a statistician at the Institute for Medical Information Processing, Biometry and Epidemiology (IBE) at the Ludwig-Maximilians-Universität in Munich. On her homepage she writes:  “As a statistician, I believe that we not only need to promote transparency in research, but also to provide guidance on how to apply research methods in a way that will improve the replicability of research findings. In my research, I engage in projects on the effects of fishing for significance on statistical inference and on methods that allow to handle the variability of results when applying alternative analytical strategies (involving for instance different data pre-processing steps and method choices). In my consulting activities, I try to convey these ideas in order to raise awareness on how common research practices can have devastating effects on the replicability of research findings.”

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We look forward to seeing you!
Open Science Initiative Lübeck

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