The course aims to provide students with the basic practical knowledge to apply statistical methods to biomedical sciences using the statistical programming software R, the most versatile and widely used free statistical program for data analysis in the scientific field. Using the software, students will learn to: i) import, understand, and interpret clinical and experimental data; ii) implement the main descriptive and inferential methods for data analysis; iii) build and interpret a linear regression model. Upon completion of the course, students will be able to implement the statistical analysis required by scientific problems using R software, acquiring a critical approach to evaluating scientific evidence.
Course Prerequisites
Owning a laptop
Teaching Methods
Frontal lessons
Assessment Methods
The exam will be written and will consist of exercises to be completed using the R software. The test will last two hours. The exam will be graded out of 30.
Texts
Introduzione all' apprendimento statistico con applicazioni in R. James, Witten, Hastie, Tibshirani. 2020. Editor:Piccin
Contents
The course is structured around lectures using the R software. Specifically, the following topics will be covered:
1- Introduction to the R environment for data analysis (creating objects and matrices, data manipulation, importing and exporting data files) 2- Descriptive statistics (frequency distributions, measures of dispersion) 3- Graphical representation of data in R 4- Parametric and nonparametric statistical tests 5- Statistical inference 6- Correlation and linear regression
Lecture slides will be available to students from the beginning of the course.
Course Language
Italian
More information
Please contact andrea.nova@unipv.it for further information.
