Free short Webinar: Kaplan-Meier survival curves taught in no more than 30 minutes, May 25 2016

This webinar is free, lasts one hour and is open to everyone, including people who do not own an XLSTAT license.

The class includes a presentation as well as a 10 minutes long Q&A session.

Kaplan-Meier survival curves taught in no more than 30 minutes

Teaching statistics to medical students is not an easy task. Using a convenient statistical software to illustrate statistical courses may improve the quality of the class. This webinar shows how data analysis in general and Kaplan-Meier survival curves in particular can be easily taught using the XLSTAT statistical software.


  • Teaching statistics to medical students
  • The characteristics a statistical software should have to let medical students love statistics
  • How XLSTAT meets the requirements
  • Live demo: teaching Kaplan-Meier survival curves with the help of XLSTAT




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Trainers' profiles

Jean-Paul Maalouf

Senior statistics consultant

Jean-Paul Maalouf is a senior statistics consultant working at Addinsoft since 2014. He holds a PhD in biology and has a substantial experience in teaching statistics, an activity he has been intensively practicing since 2012. His training beneficiaries include major French research institutes (INRA, CNRS, INSERM, CIRAD, several universities) as well as private companies around the world. His teaching methods rely on explaining statistical tools conceptually rather than mathematically. Statistics become very easy to understand for the users who do not necessarily have experience in mathematics and need to become operational very quickly.