diagnostic-test-evaluation

Diagnostic Test Evaluation

Information and course material for the Diagnostic Test Evaluation course of the Public Health Sciences Course Program at the University of Bern

Table of contents

  1. Preparation
  2. Faculty
  3. Timetable
  4. Slides
  5. Exercises
  6. Contact

Preparation

Course participants will bring their own laptops with recently installed versions of R and RStudio:

  1. Download and install R:
    • Windows: Click on “Download R for Windows”, then click on “base”, then click on the Download link.
    • macOS: Click on “Download R for macOS”, then under “Latest release:” click on R-X.X.X-arm64.pkg or R-X.X.X-x86_64.pkg for Apple silicon (M1/M2) or older Intel Macs, respectively.
    • Linux: Click on “Download R for Linux” and choose your distribution for more information on installing R for your setup.
  2. Download and install RStudio.

If you are new to R and RStudio, we recommend you to follow the 90-minute video tutorial Introduction to R and RStudio.

Faculty

Lecturer: Prof. Dr. Sonja Hartnack, Vetsuisse Faculty, Section of Veterinary Epidemiology, University of Zurich, Zurich, Switzerland

Course coordination: PD Dr. Christian Althaus, Institute of Social and Preventive Medicine, University of Bern, Bern Switzerland

Timetable

Time Topic
09:00-12:00 Introduction and analysis to diagnostic test results
12:00-13:00 Lunch break
13:00-17:00 No gold standard models, ROC curves, STARD guidelines

Slides

The course slides can be downloaded here.

Exercises

The material for the exercises can be found here.

Literature

  1. Bramwell R, West H, Salmon P. Health professionals’ and service users’ interpretation of screening test results: experimental study. BMJ. 2006;333(7562):284.
  2. Sackett DL, Haynes RB. The architecture of diagnostic research. BMJ. 2002;324(7336):539-541.
  3. Gill CJ, Sabin L, Schmid CH. Why clinicians are natural bayesians. BMJ. 2005;330(7499):1080-1083.
  4. Sarangi LN, Surendra KSNL, Rana SK, et al. Evaluation of commercial ELISA kits for diagnosis of brucellosis in cattle and buffaloes in different epidemiological scenarios. J Microbiol Methods. 2022;195:106449.

Contact

If you have any questions regarding the course, please get in touch with us at phs-info.ispm@unibe.ch or christian.althaus@unibe.ch.