PhD in Psychology Neurology and Data Science
Department
Department of Nervous System and Behavior Sciences
Instructor
Toraldo Alessio
Credit
5 Credits
Obligatoriness
Mandatory
Curriculum
Neuro Science and Psychology

Aim of the Course

The course is aimed at providing the students with the basic practical skills for running both frequentist and Bayesian statistics, after a brief theoretical overview of the latter. The teacher will try to tackle the main issues met by researchers when analyzing data, both in exploratory and in confirmatory research. Examples will span from elementary statistical objects (t-test, ANOVA, etc.) to more complex estimation procedures (simple linear regression, multiple regression, Mixed Linear Models, etc.). Basic (master-degree level) understanding of statistics is required in order to apply more complex concepts and analyses.

Programme

Suggested readings

 

McElreath (2016, 2020).

Statistical Rethinking. https://xcelab.net/rm/statistical-rethinking/

Date and Registration Form