MF9130E – Introductory course in statistics

Schedule, syllabus and examination date

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 at UiO apply to this course in StudentWeb.

Applicants who are not admitted to a PhD programme at UiO must apply for a right to study before they can apply to this course. See information here: ?How to apply for a right to study and admission to elective PhD courses in medicine and health sciences

Applicants will receive a reply to the course application in?StudentWeb?at the latest one week after the application deadline.

Overlapping courses