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MF9130E - Introductory course in statistics

Course content

The aim of the course is to make the participants acquainted with basic statistical ideas and methods. No special previous knowledge of mathematics or statistics is assumed. The statistical program package SPSS will be used in many of the exercises. Analysis of examples from medical research will be emphasized.

Learning outcome

The participants shall get a basic understanding in the following areas: Elementary probability; probability distributions: binomial distribution and normal distribution; design of clinical trials and epidemiological studies; statistical theory of estimation; construction of confidence intervals; testing statistical hypotheses; analysis of paired data and comparison of two samples; analysis of tables; linear regression analysis with one or several explanatory variables; survival analysis.

Admission

Ph.D. candidates and students at the Medical Student Research Programme will get first priority to the course. The maximum number of participant is 35.

The StudentWeb is open for registration from 1st June to 1st August.

Registration for applicants without access to the StudentWeb from 1st June to 1st August.

Applicants will be notified by email 1 - 2 weeks after the final date for registration.

Prerequisites

Formal prerequisite knowledge

No obligatory prerequisites beyond the minimum requirements for entrance to higher education in Norway.

Teaching

The course will be taught 2.9.-5.9. and 16.9.-19.9.2013

The course is organized as full day teaching over 8 days (4 + 4 days) and includes lectures, group exercises and PC-labs.

The participants must also have time for literature studies and take home exercises after study period 1.

The course is also taught in Norwegian:
MF9130 Innføring i statistikk

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.

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.

Facts about this course

Credits

8

Level

PhD

Teaching

Every autumn

Examination

Every autumn

Teaching language

English

Semester pages

Teaching schedule, syllabus, examination date