MF9130E – Introductory course in statistics

Schedule, syllabus and examination date

Choose semester

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 STATA 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

PhD candidates at UiO will have first priority at admission to this course.

How to apply:

  • 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 PhD courses in medicine and health sciences in SøknadsWeb before they can apply for this course. External applicants should apply for a right to study minimum 3 weeks before the course application deadline. See information about how to apply for at right to study and how to apply for PhD courses here: How external applicants can apply for elective PhD courses in medicine and health sciences.

Reply to course application:

  • This course has registration type Application.
  • Applicants must wait for a reply to the course application. A reply will be given in StudentWeb and sent by e-mail about 1 week after the application deadline has expired.

Prerequisites

Formal prerequisite knowledge

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

Teaching

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

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

Examination

A take-home exam will be given at the end of the course.

Submit assignments in Inspera

You submit your assignment in the digital examination system Inspera. Read about how to submit your assignment.

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

8

Level

PhD

Teaching

Every spring

This course is organized as a 8 days course.

Teaching spring 2022: 25.4.- 28.4 and 9.5.- 12.5.    Application period: 1.12.2021 - 1.2.2022

Course registration:  See information on how to apply in the section "Admission" in the course description below.

Examination

Every spring

Teaching language

English