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

Applicazioni della meta-analisi in campo epidemiologico e medico  (2023/2024)

Teacher

Giuseppe Verlato

Referent

Giuseppe Verlato

Credits

1

Language

Inglese

Class attendance

Free Choice

MoodleMoodle Seminars 0

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

Students should have basic knowledge of Mathematics and Statistics.

Program

The course will present examples of meta-analyses performed in the medical field, with special reference to: publication/small series bias; prevalence estimates; evaluation of diagnostic tools.

Didactic methods

Lessons will take place in the computer room. Participants will replicate the results of published meta-analyses by using a statistical software during the class (Stata or R-Commander).

Learning assessment procedures

Students will orally answer some questions on the program carried out.

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

Assessment

The exam will evaluate not only the acquisition of statistical knowledge, but also the ability to adopt it critically to solve health problems.

Criteria for the composition of the final grade

The final mark will be expressed on a scale ranging from 0 to 30. A minimum mark of 18 will be required in order to pass the exam

Scheduled Lessons

When Classroom Teacher topics
Wednesday 29 May 2024
14:00 - 18:00
Duration: 4:00 AM 		Aula d'Informatica della Piastra Odontoiatrica. https://univr.zoom.us/j/92638650019 Giuseppe Verlato Examples of meta-analyses performed in the medical field, with special reference to: publication/small series bias; prevalence estimates; evaluation of diagnostic tools.