This repository contains the material of the course Statistics for Neuroscience for the Ph.D. in Neuroscience at the PNC - Padova Neuroscience Center, University of Padua, Italy.
Topics:
- Review of Statistics and Reproducibility in Neuroscience
- Introduction to R and Rmarkdown
- Exploratory data analysis (EDA)
- Structure and summary of data
- Exploratory plots
- pre-processing steps
- Introduction to Statistical Inference
- Point estimators
- Confidence intervals and Statistical tests
- Multiple Linear models (i.e. t-test, Anova and Ancova)
This version is used as supporting material for teaching the basic concepts of probability and statistics using the R programming language. Throughout the sections, greater attention is placed on the application of statistical concepts. This material is not intended to be a book or a comprehensive guide.
- These notes are created on the basis of the material of the course "Statistics for Neuroscience" for the Ph.D. in Neuroscience in the academic year 2023/2024, available at the Repository PNC.
- The Example on Parkinson data has been provided by Federico Ferraccioli.