Training and Research

PhD school courses/classes - 2023/2024

Please note: Additional information will be added during the year. Currently missing information is labelled as “TBD” (i.e. To Be Determined).

1. PhD students must obtain a specified number of CFUs each year by attending teaching activities offered by the PhD School.
First and second year students must obtain 8 CFUs. Teaching activities ex DM 226/2021 provide 5 CFUs; free choice activities provide 3 CFUs.
Third year students must obtain 4 CFUs. Teaching activities ex DM 226/2021 provide 2 CFUs; free choice activities provide 2 CFUs.
More information regarding CFUs is found in the Handbook for PhD Students: https://www.univr.it/phd-vademecum

2. Registering for the courses is not required unless explicitly indicated; please consult the course information to verify whether registration is required or not. When registration is actually required, no confirmation e-mail will be sent after signing up. Please do not enquiry: if you entered the requested information, then registration was silently successful.

3. When Zoom links are not explicitly indicated, courses are delivered in presence only.

4. All information we have is published here. Please do not enquiry for missing information or Zoom links: as soon as we get new information, we will promptly publish it on this page.

Teaching Activities ex DM 226/2021: Linguistic Activities

Teaching Activities ex DM 226/2021: Research management and Enhancement

Teaching Activities ex DM 226/2021: Statistics and Computer Sciences

Teaching Activities: Free choice

Credits

1.5

Language

English

Class attendance

Free Choice

Learning objectives

The course will provide an overview on the main designs applied in observational (cross-sectional, cohort, case-control, ecologic) and experimental (parallel groups, cross-over, factorial) research. Strengths and limitations of these designs will be discussed.

Prerequisites and basic notions

There are no prerequisites for this course.

Program

The course is designed to offer doctoral students an introductory understanding of epidemiological methods, focusing on the key designs of observational and experimental studies. Additionally, an overview of inference and various models for statistical data analysis will be presented.
Course topics:
- descriptive vs analytic epidemiology
- experimental vs observational research
- measures of disease frequency and estimates of association
- main observational and experimental study designs
- methods for the analysis of binary outcomes
- internal validity
- precision and power
- external validity
-hypothesis testing and confidence intervals
- superiority, non-inferiority, and equivalence trials
- logical pitfalls of statistical significance based on thresholds
- multiple testing issues

Bibliography

Visualizza la bibliografia con Leganto, strumento che il Sistema Bibliotecario mette a disposizione per recuperare i testi in programma d'esame in modo semplice e innovativo.

Didactic methods

The teaching is structured in frontal theoretical lessons (8 hours). Lessons will be delivered in presence + Zoom. Full attendance is required.

https://univr.zoom.us/j/86816660978?pwd=emhaandUVWlnNk9SZ3RFMC9LcUNIQT09

The teaching material is available on the teaching e-learning web page (Moodle platform).

Learning assessment procedures

There is no final exam.

Students with disabilities or specific learning disorders (SLD), who intend to request the adaptation of the exam, must follow the instructions given HERE

Assessment

Not applicable

Criteria for the composition of the final grade

Not applicable

Scheduled Lessons

When Classroom Teacher topics
Friday 29 March 2024
13:00 - 17:00
Duration: 4:00 AM
Istituti Biologici Blocco B Ala NUOVA - PROF. DE MARCO [ - II] Alessandro Marcon Study design in observational and experimental research https://univr.zoom.us/j/86816660978?pwd=emhaandUVWlnNk9SZ3RFMC9LcUNIQT09
Thursday 04 April 2024
13:00 - 17:00
Duration: 4:00 AM
Istituti Biologici Blocco B Ala NUOVA - PROF. DE MARCO [ - II] Alessandro Marcon Study design in observational and experimental research https://univr.zoom.us/j/86816660978?pwd=emhaandUVWlnNk9SZ3RFMC9LcUNIQT09

Sustainable Development Goals - SDGs

This initiative contributes to the achievement of the Sustainable Development Goals of the UN Agenda 2030. More information on sustainability