MF9510E – Logistic regression, survival analysis and Cox-regression
Course description
Schedule, syllabus and examination date
Course content
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.
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. The program package Stata will be used in the exercises.
Admission
PhD candidates at UiO will get first priority to the course. Maximum number of participants is 70.
How to apply:
- 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 PhD courses in medicine and health sciences in S?knadsWeb before they can apply for this course.
- External applicants should apply for a right to study minimum 3 weeks before the course application deadline.
- When a right to study is granted, external applicants apply for this course in StudentWeb.
- See information about how to apply for at right to study and how to apply for PhD courses here: How external applicants can apply for elective PhD courses in medicine and health sciences.
Reply to course application:
- This course has registration type Application.
- Applicants must wait for a reply to the course application. A reply will be given in StudentWeb and sent by e-mail about 1 week after the application deadline has expired.
Prerequisites
Formal prerequisite knowledge
MF9130E – Introductory course in statistics / MF9130 – Innf?ring i statistikk or equivalent.
Recommended previous knowledge
Knowledge of linear regression.
Teaching
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.
Examination
A take-home exam will be given at the end of the course.
Submit assignments in Inspera
You submit your assignment in the digital examination system Inspera. Read about how to submit your assignment.
Use of sources and citation
You should familiarize yourself with the rules that apply to the use of sources and citations. If you violate the rules, you may be suspected of cheating/attempted cheating.
Grading scale
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.
Evaluation
The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.