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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 software R and the RStudio environment will be used in many of the exercises. Analysis of examples from biomedical 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
• Non-parametric statistics and bootstrap
• Linear regression analysis with one or several explanatory variables
• Logistic regression with one or several explanatory variables
• Survival analysis

Admission to the course

Applicants admitted to a PhD programme ̽»¨¾«Ñ¡ apply to this course in .

Applicants who are not admitted to a PhD programme ̽»¨¾«Ñ¡ must apply for a right to study before they can apply to this course. See information here: Ìý

Applicants will receive a reply to the course application inÌýÌýat the latest one week after the application deadline.

Overlapping courses

• 8 credits overlap with MF9130 – Innføring i statistikk.
• 8 credits overlap with MEDFL5130 – Innføring i statistikk.
• 8 credits overlap with MEDFL5130E – Introductory course in statistics.
• 6 credits overlap with STK1000 – Introduction to Applied Statistics.
• 5 credits overlap with OD9210.

Teaching

The course is organized as a full-time course over eight full days (four + four days) and includes lectures, group and class discussions, group exercises and computer labs.

The participants must also have time for literature studies and take home exercises after the first course period.

You have to participate in at least 80 % of the teaching to be allowed to take the exam. Attendance will be registered.

This course is also taught in Norwegian:ÌýMF9130 Innføring i statistikk

Examination

Home exam to be submitted four weeks after the course.

Language of examination

The examination text is given in English, and you submit your response in English.

Grading scale

Grades are awarded on a pass/fail scale. Read more about the grading system.

More about examinations ̽»¨¾«Ñ¡

• Use of sources and citations
• Special exam arrangements due to individual needs
• Withdrawal from an exam
• Illness at exams / postponed exams
• Explanation of grades and appeals
• Resitting an exam
• Cheating/attempted cheating

You will find further guides and resources at the web page on examinations ̽»¨¾«Ñ¡.