Quantitative Methods to Support Healthcare Decisions

A.Y. 2020/2021
6
Max ECTS
40
Overall hours
SSD
SECS-S/01 SECS-S/06
Language
Italian
Learning objectives
Undefined
Expected learning outcomes
Undefined
Single course

This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.

Course syllabus and organization

Single session

Teaching methods
The lectures can be held alternately, due to the emergency and regulatory provisions:
· face-to-face in the classroom, with synchronous streaming and asynchronously as they will be recorded and uploaded on the Ariel platform.
· on the Microsoft Teams platform both synchronously (on the basis of the timetable of the third quarter) and asynchronously as they will be recorded and uploaded on the same platform.

Program and reference material
The contents and reference material will not be changed.
Assessment methods and criteria
Written exams can be held alternately, due to the emergency and regulatory provisions:
· in the classroom;
· via computer-based written exam platforms (exam.net + seb + zoom, or moodle + seb + zoom, or moodle + e-proctoring systems).
Group or individual work will be carried out remotely and sent to the instructors. The presentations can be held alternately, due to the emergency and regulatory provisions:
· in the classroom;
· via the Microsoft Teams platform.
Course syllabus
1. Comparison of Two Groups
2. Analyzing Association between Categorical Variables
3. Linear Regression and Correlation
4. Introduction to Multivariate Relationships
5. Multiple Regression and Correlation
6. The Analysis of Variance (ANOVA)
7. Combining regression and ANOVA: categorical and quantitative predictors
8. Regressione multipla: la scelta dei modelli
Further info concerning the course content will be provided on https://ariel.unimi.it
Prerequisites for admission
Knowledge of the elements of Statistics provided in an introductory course is required (Descriptive statistics; Sampling and measurement; Probability distributions; Statistical inference: significance estimation and tests; Linear regression and correlation) and the basic notions for the use of pc.
Teaching methods
The lectures can be held alternately, due to the emergency and regulatory provisions:
· face-to-face in the classroom, with synchronous streaming and asynchronously as they will be recorded and uploaded on the Ariel platform.
· on the Microsoft Teams platform both synchronously (on the basis of the timetable of the third quarter) and asynchronously as they will be recorded and uploaded on the same platform.
Teaching Resources
Reference materials
Agresti A., Finlay B. - Metodi statistici di base e avanzati per le scienze sociali, Pearson, ISBN 9788865189498
or
Agresti A., Statistical Methods for the Social Sciences, 5th Edition, Pearson, ISBN 780134507101, 013450710X, eBook ISBN 9780134512822, 0134512820

Instructors will upload the slides and additional materials on https://ariel.unimi.it
Assessment methods and Criteria
Written exams can be held alternately, due to the emergency and regulatory provisions:
· in the classroom;
· via computer-based written exam platforms (exam.net + seb + zoom, or moodle + seb + zoom, or moodle + e-proctoring systems).
Group or individual work will be carried out remotely and sent to the instructors. The presentations can be held alternately, due to the emergency and regulatory provisions:
· in the classroom;
· via the Microsoft Teams platform.
SECS-S/01 - STATISTICS
SECS-S/06 - MATHEMATICAL METHODS OF ECONOMICS, FINANCE AND ACTUARIAL SCIENCES
Lessons: 40 hours
Professor: Vernizzi Achille