MF9510E - Logistic regression, survival analysis and Cox-regression
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
Ph.D. candidates and students at the Medical Student Research Programme will get first priority to the course. Maximum number of participants is 35.
The StudentWeb is open for registration from 1st June to 15th August.
Registration for applicants without access to the StudentWeb from 1st June to 15th August.
Applicants will be notified by email 1 - 2 weeks after the final date for registration.
Prerequisites
Formal prerequisite knowledge
It is required that the participants have been through MF9130E -Introductory course in statistics / MF9130 - Innføring i statistikk or equivalent.
Recommended previous knowledge
Knowledge of linear regression.
Teaching
The course will be taught 21st - 24th October 2013
The course is organized as full day teaching over 4 days and includes lectures, exercises and PC-labs.
NB! You have to participate in at least 80 % of the teaching to be allowed to take the exam. Attendance at lectures will be registered.
The course is also taugth in Norwegian:
MF9510 Logistisk regresjon, overlevelsesanalyse og Cox-regresjon
Examination
A take-home exam will be given at the end of the course. Grading: Pass/fail.
Explanations and appeals
Students can request an explanation of their grades, and can also appeal against their grades or make a complaint about formal examination errors. Read more about explanations and appeals
Evaluation
Feedback from our students is essential to us in our efforts to ensure and further improve the high quality of our programmes and courses. All courses are subject to continuous evaluation. At regular intervals we also ask students on a particular course to participate in a more comprehensive, periodic evaluation of this course.