Workshop "Non-parametric Data Analysis"

25.02.2020 14:00 – 17:00

WORKSHOPS SERIES ON ADVANCED DATA ANALYSIS METHODS
Non-parametric Data Analysis

Conventional statistical tests and models (e.g., t-test, linear regression) depend on assumptions that are frequently violated in data. For some such violations, alternative methods have been developed which are called "non-parametric", and relax some of the distributional assumptions of conventional parametric tests. In this workshop, I give a practical introduction to non-parametric data analysis, focusing on (a) the relative importance of different statistical assumptions, (b) how to best check these assumptions, and (c) permutation testing as a general-purpose option for non-parametric data analysis. The workshop will also focus on dispelling common misconceptions about non-parametric methods, and include some interactive demonstrations of statistical concepts. Slides will contain R code which can be executed in parallel with the lecture, and for which you are invited to bring your laptop.

CONTENTS
- Assumptions in parametric data analysis
- Checking assumptions and applying corrections
- Non-parametric data analysis
- Permutation testing
- Miscellaneous non-parametric methods

To participate in the workshop on February 25, please apply at: https://formulaire.unige.ch/cisa/survey/index.php/166719?lang=en

DEADLINE: Friday, February 14

IMPORTANT: There is a limited number of seats and your participation will not be guaranteed until you receive a confirmation email, to be sent by February 18. In case of large demand, we will select the participants based on order of application and motivation statement, with priority given to members of the CISA Doctoral and Postdoctoral programs. For any additional information, feel free to contact us at missing email

Lieu

Bâtiment: Campus Biotech

H4-02

entrée libre

Fichiers joints

Workshop___Non_parametric_Data_Analysis.pdf

528.8 Kb