FRM9915 – NFIF-Introduction to and Application of Propensity Scores
Changes in the course due to coronavirus
Autumn 2020 we plan for teaching and examinations to be conducted as described in the course description and on semester pages. However, changes may occur due to the corona situation. You will receive notifications about any changes at the semester page and/or in Canvas.
Spring 2020: Teaching and examinations was digitilized. See changes and common guidelines for exams at the MN faculty spring 2020.
After completing the course the student should:
- Understand the role of the propensity score as a method for controlling confounding in observational studies
- Be able to build a propensity score model and use the resulting propensity score in a variety of applications (matching, adjustment, stratification, weighting)
- Perform diagnostics and balance checks on propensity score models
- Communicate the results of a propensity score analysis in an oral presentation
Admission to the course
All PhD candidates within the Norwegian PhD School in Pharmacy, open to non-NFIF PhD candidates or researchers, but with 75% of seats reserved for NFIF students.
PhD candidates who are admitted to other faculties at UiO or education institutions than UiO must at the same time apply for visiting status. They must submit, by the registration deadline, the same documentation as regular visiting status applicants, but the application and documentation (Official documentation of your admission to a PhD programme and confirmation from your supervisor/administration that the course/courses you wish to follow will be included as a part of the training component in your Phd programme) is to be sent by e-mail to the Department of Pharmacy, email@example.com and not to the Faculty point of contact.
Applicants must be able to present original documentation on request.
The course will be offered to maximum 12 participants. The course will not be offered if there are fewer than 5 participants.
Formal prerequisite knowledge
Students should have previous experience in epidemiology (equivalent to MF9230) and biostatistics (equivalent to MF9560), and prior experience with multivariable logistic regression is required. The course will be taught primarily in R, with some support available for SAS and Stata; prior experience in R is recommended but not required.
The course is centered on a four day obligatory session held in Oslo; students will be expected to have done substantial reading prior to the course meeting.
The individual program during the intensive four-day course includes:
- 8 50-minute lectures (students expected to do 1-2 hours of preparation for each lecture)
- 3 journal club-style discussions of current literature (each student will be responsible for presenting 1 article and will be expected to have read the other articles discussed - 1-2 hours prep for each session)
- 3 3.5-hour practical skills data labs (lab assignments will be completed within the lab session; final presentation may require additional preparation, depending on student progress in lab)
- 1 15-minute presentation on the students mini-project
The intensive four-day course will include: lectures by local, national and foreign invited speakers within the field of pharmacoepidemiology who are experienced in propensity score methods; journal club-style discussions of important literature on propensity score methods (1-2 students will be assigned to present each article); and practical lab sessions for skill practice and development.
Additional reading will complete work hours requirements according to the ECTS Users´ Guide 2015. Reading list to be determined at a later point.
Four-day course in Oslo which includes
- 8 lectures
- 3 lab sessions
- 3 student-led discussions of assigned reading
- 1 presentation for each candidate
At the beginning of the course, students will choose from one of several research questions. These topics will be designed in advance to highlight important topics in observational epidemiology, with a particular focus on confounding, as this is the main source of bias that propensity scores aim to address. Students may apply in advance of the course to use their own data for the lab session. Students will apply knowledge from the morning lecture sessions during afternoon lab sessions, and will receive formative feedback on lab work (e.g. identifying potential confounders, fitting propensity score models, diagnostics and balance checks, etc). On the last day of the course, each student will give a 15-minute presentation on his or her mini-Project.
Examination support material
No examination support material is allowed.
Language of examination
The examination text is given in English, and you submit your response in English.
Grades are awarded on a pass/fail scale. Read more about the grading system.
Resit an examination
If students are unable to give this final presentation due to illness or other valid reasons for absence, the alternative assignment is to complete a written report of their findings. The report should be approximately 5000 words in length, structured as a scientific manuscript and follow standard IMRAD layout including appropriate tables and figures, with special attention paid to the propensity score methods. This assignment will be due 2 weeks after the course ends, and will be graded pass/fail.
Re-scheduled examinations are not offered to students who withdraw during, or did not pass the original examination.