Learning objectives
Introduce to the student the use of modern information processing systems and make it able to autonomously produce models and data elaborations of increasing complexity.
Prerequisites
basic knowledge of univariate statistics.
Course unit content
The course will cover the use of various types of software, particularly developed for Statistics and numerical calculation, and the elaboration of clinical and biological data.
Full programme
Introduction to R, Jasp, Jamovi,
IBM-SPSS.
Descriptive analysis. Exploring data with graphs.
Non-parametric methods and models.
Correlation and regression.
ANOVA, ANCOVA and Repeated measures ANOVA. Factor models.
Logistic Regression.
Survival analysis.
Bibliography
Notes and material of the lessons.
Internet resources
Some hopefully useful texts:
1) Field A.P., Miles J., Field Z. "Discovering Statistics using R", ed. SAGE
2) Field A. "Discovering Statistics Using IBM SPSS" ed. SAGE
3) Davies T.M. "The Book of R. A first course in programming and statistics" ed. No Starch Press
Teaching methods
Lectures with the aid of multimedia tools and practical exercises on the computer.
Assessment methods and criteria
The learning verification test will consist of the preparation of a database of clinical data and the production of an appropriate written report to be presented and discussed in the examination context.
Other information
no
2030 agenda goals for sustainable development
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