Statistics and data visualization - Lessons learned from the SARS-Coronavirus-2
Channel: SIB - Swiss Institute of Bioinformatics
Date: 2020-07-09

One of the side effects of the COVID19 crisis has been an abundant production of statistics, predictions and graphics that were published both in scientific papers and in the media.

These publications have elicited many different questions that are not specific to the COVID19 situation: What is the quality of the data ? How can we compare different groups (e.g. countries) ? How dangerous is it to make predictions ? What is the "best" way to represent data ?

This short webinar discusses some of these questions, using examples from the COVID19 crisis to illustrate various topics that should be of interest to most researchers in the life sciences.
Target audience: Master students, PhD students, postdocs and other researchers, from any life science environment (academia, facilities, companies, etc.). 
Speaker: Frédéric Schütz, head of the Biostatistics platform at the University of Lausanne, and SIB group Leader.