MF9510E – Logistic regression, survival analysis and Cox-regression
Course description
Schedule, syllabus and examination date
Course content
Learning outcome
The participants shall get a basic understanding in the following areas:
- Analysis of proportions and relative risk
- Logistic regression
- Survival analysis and Cox regression
Admission to the course
Applicants admitted to a PhD programme at UiO sign up for classes and exam to this course in StudentWeb.
Applicants who are not admitted to a PhD programme at UiO must apply for a right to study before they can sign up for classes and exam to this course. See information here: How to apply for a right to study and admission to elective PhD courses in medicine and health sciences..
Applicants will upon registration receive an immediate reply in StudentWeb as to whether a seat at this course is granted or not.
Formal prerequisite knowledge
Recommended previous knowledge
Overlapping courses
- 4 credits overlap with MF9510 – Logistisk regresjon, overlevelsesanalyse og Cox-regresjon (continued).
- 4 credits overlap with MEDFL5510.
- 4 credits overlap with MEDFL5510E – Logistic regression, survival analysis and Cox-regression.
- 4 credits overlap with FHE4120 – Introduction to Logistic and Cox regression.
Teaching
The course is organized as full day teaching over four days and includes lectures, exercises and PC-labs.
Computer demonstrations and exercises will be based on the statistical software package Stata. However, code in R will also be provided as an alternative for participants who are familiar with R from before.
You have to participate in at least 80 % of the teaching to be allowed to take the exam. Attendance will be registered.
Examination
Language of examination
Grading scale
More about examinations at UiO
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- How to use AI as a student
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.