MF9130E – Introductory course in statistics

Schedule, syllabus and examination date

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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 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

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

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.

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.

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

 

Dates spring 2018:

8 days course

Week 1: 23.4.- 26.4.

Week 2: 7.5.- 9.5., 11.5

Application period:

1.12. - 1.2.

Applicants will be notified week 6

 

Examination

Every spring

Teaching language

English