Created Date : Wednesday, August 22, 2018   Update Date : Wednesday, August 22, 2018    Visit : 530

Comparative Risk Assessment

Course summary

  • Course duration: one semester, September23th  2018
  • Location: International College
  • Course fee:
  • Application Open:
  • Application Deadline: August 21th-September23th
  • Course Directors: Dr. Farshad Farzadfar
  • Email:
  • Tel: +98 (21) 88970822
  • Fax: +98(21)  8897082



Comparative Risk Assessment (CRA) is a tool for evaluating the effect of risk factors on burden of diseases. CRA analysis estimates the number of deaths that would have been prevented if the past and current exposure to risk factors were reduced to hypothetical alternative distribution. This course introduces its concepts and related statistical methodology.


Learning objectives

This course will comprise 17 lectures and hands-on tutorials:

Lectures sessions:

  • Introduction and concepts
  • National and Sub-national Burden of Diseases (NASBOD) and introduction to Global Burden of Disease study
  • Estimating exposure
  • Risk-outcome pairs
  • Relative risk estimation
  • Theoretical Minimum Risk Exposure Level (TMREL)
  • Attributed deaths and burden
  • GBD compare and first Iranian health care data visualization system

All the above define objectives have lab sessions.


  • 50% final exam
  • 50% home work



Maximum of 15-20


Preliminary Knowledge

Basic knowledge in statistics and epidemiology

Software skills: Microsoft Excel, and R programming language


Teaching methods

Lectures, tutorials, home work, and team exercises





Dr. Farshad Farzadfar, Ms. Sahar Saeedi Moghaddam, Mrs. Parinaz Mehdipour, and Mr. Ali Ghanbari


Assessment methods

No formal assessment method.



This course requires you to complete the application form via the following link:


Who can attend this course?

For public health practitioners, epidemiologists, academics and students who are interested in applying Comparative Risk Assessment skills in their research. No prior knowledge is required, but experience in basic statistics, and use of a statistical software (preferably SPSS) is desirable.