MF9510E – Logistic regression, survival analysis and Cox-regression
Schedule, syllabus and examination date
The aim of the course is to make the participants familiar with advanced statistical regression methods applied to clinical research and epidemiology. This will give the participants a better basis for following the increasing part of medical literature making use of such methods. The course will also be a good starting point for those who want to use these methods in their own research.
The participants shall get a basic understanding in the following areas: Analysis of proportions and relative risk, logistic regression, survival analysis and Cox regression. The program package Stata will be used in the exercises.
PhD candidates at UiO will get first priority to the course. Maximum number of participants is 35.
PhD candidates admitted to a PhD programme at UiO apply in StudentWeb
Applicants who are not admitted to a PhD programme at UiO must apply for a right to study in SøknadsWeb before they can apply for PhD courses in medicine and health sciences. Deadline for applying for a right to study this course is 15 August.
Formal prerequisite knowledge
Recommended previous knowledge
Knowledge of linear regression.
The course is organized as full day teaching over 4 days and includes lectures, exercises and PC-labs.
You have to participate in at least 80 % of the teaching to be allowed to take the exam. Attendance will be registered.
The course is also taugth in Norwegian MF9510 – Logistisk regresjon, overlevelsesanalyse og Cox-regresjon
A take-home exam will be given at the end of the course.
Use of sources and citation
Grades are awarded on a pass/fail scale. Read more about the grading system.
Explanations and appeals
Resit an examination
Withdrawal from an examination
It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.
Special examination arrangements
Application form, deadline and requirements for special examination arrangements.
The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.