Name: Statistical inference in the tidyverse framework: the Infer package.
Start: 2019-05-16T18:00:00+02:00
End: 2019-05-16T20:00:00+02:00
Location: EPFL

• Description •
This talk will be about the infer package which aim is both to perform statistical inference using a syntax coherent with the tidyverse framework and to make the common logic behind statistical inference more apparent and intuitive.

• Speaker •
Elise Dupuis Lozeron

• Agenda •
18h00 Arrival
18h15 Presentation
19h15 Apéro

• Elise Dupuis Lozeron •

Statistician, Division of Clinical Epidemiology and Methodological Support Unit, Clinical Research Center (CRC), University Hospitals of Geneva and University of Geneva, Geneva (CH).
Elise Dupuis Lozeron has a PhD in statistics from the University of Geneva. Before joining her current position she has worked for 5 years as a statistician for the Swiss study on Air Pollution And Lung Disease in Adults (SAPALDIA) and for the Department of Adult Intensive Care Medicine, University Hospital of Lausanne (CHUV). Her own research is related to the statistical estimation of complex models using simulation based bias-correction methods.

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Statistical inference in the tidyverse framework: the Infer package.

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Statistical inference in the tidyverse framework: the Infer package.

R-Ladies Lausanne

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