Diagnostic Test Evaluation
Learning Outcomes
At the end of this course, participants shall be able to:
- Correctly interpret diagnostic test results in human and animal health
- Explain and apply sensitivity, specificity, predictive values, likelihood ratios
- Distinguish apparent and true prevalence
- Assess test agreement with kappa
- Explain the principles of ROC curve
- Assess if a diagnostic test accuracy study complies with STARD reporting guidelines
Topics/Content
- Introduction to diagnostic tests
- Analysis of diagnostic test results from human and animal health in R
- Sensitivity, specificity, PPV, NPV, likelihood ratios
- Agreement with kappa
- ROC curves
- No gold standard: Bayesian latent class modeling
- STARD reporting guidelines
Activities / Program
Lectures in workshop style, exercises individually and in groups. A written homework assignment after the course.
Basic information
| Number | E046.214.24 |
|---|---|
| Dates | Mo, 24.06.2024 |
| Times | 09:00-17:00 |
| Course location | Institute of Social and Preventive Medicine ISPM room 320, third floor Situation plan |
| Lead | Prof. Sonja Hartnack, Section of Veterinary Epidemiology, Vetsuisse Faculty, University of Zurich |
| Seats max. | 25 people |
| Course language | English |
| Registration deadline | 10.06.2024 |
| Format | Individual event from Public Health Sciences Course Program You will receive a certificate of attendance. |
| Governing Unit |
Faculty of Medicine, University of Bern |
| ECTS info |
0.5 ECTS point will be credited for this course For an accreditation of the ECTS, a minimum of 80% attendance and active participation incl. completion of assignments and assessments are required. |
Target audience
All PhD students, Post-docs, clinicians and public health practitioners who would like to acquire skills in the topics.
Special
Students have to bring their own laptops with a recently installed version of R and RStudio.
Admission requirements
Successful completion of the R introductory course, experience with projects in R or similar qualification.
Application and admission procedure
A tertiary education degree is required. The program manager decides on the final admission. Priority is given to PhD students.
Application process: You are requested to enroll online. Seats will be allocated according to date of enrolment. Three weeks before the course/workshop at the latest, the administration will decide and inform about running or cancelling the course/workshop.
Costs
Amount still open
Administrative / Payment modalities
Registration fees are waived for PhD students of the University of Bern who commit to the whole course attendance. To avoid being invoiced, it is mandatory that you indicate your institute and the matriculation number upon registration for the course. Please note cancellation regulations below.
Course fees for other participant categories:
PostDocs Uni Bern CHF 50
Other participants Uni Bern CHF 150
Participants other academic institutions 300
Other participants CHF 420
Participants completing the entire PHS Course Program benefit from a reduction; overview course fees here.
Cancellation regulations
After the closing date for registrations, the organisers will decide whether the course can take place. The decision is based on the number of registrations.
These cancellation rules apply to PhD students of the University of Bern.
Processing fee of CHF 100 will be applied for:
- Cancellations after the registration deadline (late cancellations)
- Participants with course attendance of less than 80% of the on-site course time
- Absence on the first day of the course (considered as a late cancellation).
Course attendance must be cancelled at the latest 2 weeks before the first course day. Write an email to phs-admin.ispm@unibe.ch.
The cancellation has to be confirmed by the course coordination.
For your registration the General Terms and Conditions of the PHS Course Program apply.
Contact
University of Bern
Public Health Sciences Course Program
c/o Institute of Social and Preventive Medicine (ISPM)
Mittelstrasse 43
3012 Bern
Switzerland
Tel: +41 31 684 34 04