MF9510E – Logistic regression, survival analysis and Cox-regression

Schedule, syllabus and examination date

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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 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.

Prerequisites

Formal prerequisite knowledge

MF9130E – Introductory course in statistics / MF9130 – Innføring 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.

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.

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.

Facts about this course

Credits

4

Level

PhD

Teaching

Autumn 2018

22.10. - 25.10.

Application period

1.6 - 1.9.

Applicants will be notified after the course registration deadline

Examination

Every autumn

Teaching language

English