Quantitative Analysis

2-3-4-8-9 April 2025
Milan

Teacher: Sara Marceglia (UNIMI) - Dates: 2-3-4-8-9 April 2025

Location: IEO Hospital, Milan

Aim of the course: The course aims at providing the PhD students of the Medical Humanities curriculum with the methodological foundations of data analysis, from data visualization to interpretation of the findings. The course will propose theoretical and practical lessons aimed to make students familiar with the basic tools required for quantitative data analysis, interpretation and management.

Timetable
14.00-16-00
Lesson Argument

Introduction to medical data: characteristics, uncertainty, data taxonomy, qualitative vs quantitative data

Lesson Location
Cascina Brandezzata
Timetable
16.00-18.00
Lesson Argument

Introduction to quantitative analysis: data types, measurement scales, data visualization, and descriptive statistics

Lesson Location
Cascina Brandezzata
Timetable
10.00-12.00
Lesson Argument

Practical session: Data visualization and descriptive statistics

Lesson Location
Cascina Brandezzata
Timetable
12.00-14.00
Lesson Argument

Inferential statistics and hypothesis tests, regression and correlation

Lesson Location
Cascina Brandezzata
Timetable
10.00-14.00
Lesson Argument

Practical session: Case studies

Lesson Location
Cascina Brandezzata
Timetable
14.00-16.00
Lesson Argument

Types of clinical studies and sample size determination

Lesson Location
Cascina Brandezzata
Timetable
16.00-18.00
Lesson Argument

Measures of effects, measures of frequencies, diagnostic tests and ROC curves

Lesson Location
Cascina Brandezzata
Timetable
14.00-16.00
Lesson Argument

Introduction to advanced quantitative analysis techniques using machine learning

Lesson Location
Cascina Brandezzata
Timetable
16.00-18.00
Lesson Argument

Application examples

Lesson Location
Cascina Brandezzata