Training and Research

PhD Programme Courses/classes - 2023/2024

Optical Imaging technique: principles and applications

Credits: 1

Language: English

Teacher:  Federico Boschi

Nanomaterials and green chemistry: from synthesis to applications

Credits: 1

Language: English

Teacher:  Adolfo Speghini

Tecniche di deposizione a film sottile per biomateriali, applicazioni biomediche e energia solare

Credits: 1,5

Language: English

Teacher:  Alessandro Romeo

Protein crystallization and structure solving: classical and novel methods

Credits: 1,5

Language: English

Teacher:  Massimiliano Perduca

Forensic toxicology and analitics

Credits: 6

Language: English

Teacher:  Rossella Gottardo

Erasmus + seminars

Credits: 5,3

Language: English

Forensic Genetics

Credits: 4

Language: English

Teacher:  Stefania Turrina

An introduction to NMR spectroscopy for the study of biomacromolecules

Credits: 1

Language: English

Teacher:  Mariapina D'Onofrio

Tecniche di immagine per l'analisi della composizione corporea

Credits: 1

Language: English

Teacher:  Carlo Zancanaro

Tecniche ultrastrutturali e citochimiche per individuare le nanoparticelle in cellule e tessuti

Credits: 1

Language: English

Teacher:  Manuela Malatesta

Application of multimodal imaging techniques in the study of the skeletal muscle

Credits: 0,5

Language: English

Teacher:  Barbara Cisterna

Biophysical Methods for the Analysis of Protein-Ligand interactions

Credits: 1

Language: English

Teacher:  Filippo Favretto

Engineering photosynthesis to enhance productivity

Credits: 1

Language: English

Teacher:  Stefano Cazzaniga

Inibitori e stabilizzatori delle interazioni proteina-proteina

Credits: 0,5

Language: English

Teacher:  Francesca Munari

Luminescent lanthanide complexes for bioimaging and sensing applications

Credits: 0,5

Language: English

Teacher:  Fabio Piccinelli

Magnetic Resonance Imaging for the characterization of the central and peripheral nervous system

Credits: 1,5

Language: English

Teacher:  Pietro Bontempi

Markers of chronic alcohol abuse: analytical and interpretative aspects

Credits: 1

Language: English

Teacher:  Federica Bortolotti

Surface Metrology with optical techniques

Credits: 1

Language: English

Teacher:  Claudia Daffara

Synthesis, characterization and applications of luminescent nanostructured materials (titolo ridotto rispetto AA 2022-23)

Credits: 1

Language: English

Teacher:  Francesco Enrichi

virtopsy: general aspects and new trends

Credits: 0,5

Language: English

Teacher:  Francesco Ausania

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).

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.

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.

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

0.5

Language

English

Class attendance

Free Choice

Location

VERONA

Learning objectives

The course will provide an overview on the assessment of validity and reliability of diagnostic tests, introducing the concepts of sensitivity, specificity, positive and negative predictive values, and interobserver agreement.

Prerequisites and basic notions

There are no prerequisites for this course.

Program

This course aims to equip PhD candidates with an understanding of the main sources of measurement error and the implications of measurement error in scientific research. We will delve into the distinctions between precision, accuracy, and validity of measurements and explore methods for assessing the validity and reliability of diagnostic tests.
Course topics:
1. Precision (random error)
- Measures of variability
- Reliability vs precision
- Effects of measurement error on association estimates
2. Validity
- Prevention and screening tests
- Validity of diagnostic tests
- Validity of epidemiological definitions
3. Accuracy (error systematic)
- Selection bias
- Information bias

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.

When and where

The teaching is structured as frontal theoretical lessons (4 hours) delivered in presence + Zoom. Full attendance is required.
The teaching material is available on the teaching e-learning web page (Moodle platform).
Please note: this course was previously named "Sensitivity, specificity, positive and negative predictive values of a screening test. Roc curves. Cohen’s kappa coefficient of agreement"

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

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 01 March 2024
13:00 - 17:00
Duration: 4:00 AM
Istituti Biologici Blocco B Ala NUOVA - PROF. DE MARCO [ - II] Alessandro Marcon Validity and reliability of measurements and diagnostic tests 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
Salute e benessere (GOAL 3)

Faculty

A B C D E F G M N P R S T Z

Ausania Francesco

symbol email francesco.ausania@univr.it symbol phone-number 0458127455

Bontempi Pietro

symbol email pietro.bontempi@univr.it symbol phone-number +39 045 802 7614

Bortolotti Federica

symbol email federica.bortolotti@univr.it symbol phone-number 045 8124618

Boschi Federico

symbol email federico.boschi@univr.it symbol phone-number +39 045 802 7272

Calderan Laura

symbol email laura.calderan@univr.it symbol phone-number 0458027562

Carta Angela

symbol email angela.carta@univr.it symbol phone-number +39 045 812 8270

Cazzaniga Stefano

symbol email stefano.cazzaniga@univr.it symbol phone-number +39 045 8027075

Cisterna Barbara

symbol email barbara.cisterna@univr.it symbol phone-number +39 045 802 7564

Daffara Claudia

symbol email claudia.daffara@univr.it symbol phone-number +39 045 802 7942

D'Onofrio Mariapina

symbol email mariapina.donofrio@univr.it symbol phone-number 045 802 7801

Enrichi Francesco

symbol email francesco.enrichi@univr.it symbol phone-number +390458027051

Favretto Filippo

symbol email filippo.favretto@univr.it symbol phone-number 045 802 7865

Gottardo Rossella

symbol email rossella.gottardo@univr.it symbol phone-number 045 8124247

Malatesta Manuela

symbol email manuela.malatesta@univr.it symbol phone-number +39 045 802 7569

Manfredi Riccardo

symbol email riccardo.manfredi@univr.it symbol phone-number +39 045 802 74 89

Munari Francesca

symbol email francesca.munari@univr.it symbol phone-number +39 045 802 7920

Nardon Chiara

symbol email chiara.nardon@univr.it

Perduca Massimiliano

symbol email massimiliano.perduca@univr.it symbol phone-number +39 045 8027984

Piacentini Giorgio

symbol email giorgio.piacentini@univr.it symbol phone-number +39 045 812 7120

Piccinelli Fabio

symbol email fabio.piccinelli@univr.it symbol phone-number +39 045 802 7097

Porru Stefano

symbol email stefano.porru@univr.it symbol phone-number Diretto 045 812 4294 - Segreteria 045 802 7421-7422

Romeo Alessandro

symbol email alessandro.romeo@univr.it symbol phone-number +39 045 802 7936; Lab: +39 045 802 7808

Sbarbati Andrea

symbol email andrea.sbarbati@univr.it symbol phone-number +39 045 802 7266

Speghini Adolfo

symbol email adolfo.speghini@univr.it symbol phone-number +39 045 8027900

Turrina Stefania

symbol email stefania.turrina@univr.it symbol phone-number 045/8027622

Zancanaro Carlo

symbol email carlo.zancanaro@univr.it symbol phone-number 045 802 7157 (Medicina) - 8425115 (Scienze Motorie)

PhD students

PhD students present in the:

No people are present.

Course lessons
PhD Schools lessons

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Guidelines for PhD students

Below you will find the files that contain the Guidelines for PhD students and rules for the acquisition of ECTS credits (in Italian: "CFU") for the Academic Year 2023/2024.

Documents

Title Info File
File pdf Dottorandi: linee guida generali (2023/2024) pdf, it, 111 KB, 26/02/24
File pdf PhD students: general guidelines (2023/2024) pdf, en, 127 KB, 26/02/24