MH3003 - Statistics for Medicine and Health Sciences

Examination arrangement

Examination arrangement: School exam

Evaluation Weighting Duration Grade deviation Examination aids
School exam 100/100 4 hours HJELPEMIDD

Course content

The course gives a basic introduction to statistical methods relevant for medicine and health science. The course will provide knowledge of and practice in the application of methods for comparing means and proportions, studying association between continuous variables, and evaluating reliability and validity of measured data. The course deals with descriptive statistics, probability and probability distributions, point and interval estimation, hypothesis testing for continuous and categorical data, correlation and linear regression. The course includes exercises using SPSS.

Learning outcome

Knowledge:

After completing the course MH3003, the student should

• have knowledge of different types of variables and probability distributions, and be able to apply the knowledge in relation to statistical analysis of data
• have knowledge of basic terminology and methodological elements within point and interval estimation and hypothesis testing
• have knowledge of methods for estimating correlation and linear association between continuous variables
• have knowledge of the most important assumptions for the chosen method of analysis

Skills:

After completing the course MH3003, the student should be able to

• choose appropriate summary measures and graphical display for describing quantitative data
• perform and interpret results from hypothesis tests (t-test) for mean values in one and two samples, and correspondingly for the non-- parametric alternatives for these tests
• perform and interpret results from hypothesis tests for proportions in one and two samples
• perform and interpret analyses for estimating correlation and linear association between continuous variables
• evaluate reliability of measurements and agreement between two methods of measurement
• perform statistical analyses by using a statistical program package (SPSS)
• justify the chosen method of analysis based on the problem at hand, study design, and variable types

General competence:

After completing the course MH3003, the student should

• have a basis for understanding the presentation of statistical analyses and results in scientific literature

Learning methods and activities

Intensive lectures over the semester. Lectures and exercises. The course will be taught in Norwegian during the autumn semester and in English in the spring semester.

Compulsory assignments

• Approved compulsory exercise activities

Further on evaluation

Approved compulsory exercise activities are required to sit for the exam. Approved compulsory activities are valid for three subsequent semesters after approval. Written exam, 4 hours. Letter grades. Approved examination aids: Specified printed and handwritten aids. Any calculator.

Specific conditions

Compulsory activities from previous semester may be approved by the department.

Required previous knowledge

Completed bachelor's degree or equivalent.

To be announced

Credit reductions

Course code Reduction From To
KLH3100 7.5 AUTUMN 2018
KLH3004 7.5 AUTUMN 2018
HLS3550 7.5 AUTUMN 2018
KLMED8004 5.0 AUTUMN 2018
MNFSIB1 7.5 AUTUMN 2018
PH3003 7.5 AUTUMN 2018
ST3000 7.5 AUTUMN 2018
ST3001 7.5 AUTUMN 2018
MH3006 7.5 AUTUMN 2020
More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2021

Term no.: 1
Teaching semester:  SPRING 2022

Language of instruction: English, Norwegian

Location: Ålesund , Gjøvik , Trondheim

Subject area(s)
• Health Science
• Epidemiologi
• Statistics
Contact information
Course coordinator: Lecturer(s):

Department of Public Health and Nursing

Examination

Examination arrangement: School exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system
Autumn ORD School exam 100/100 2021-12-13 09:00
Spring ORD School exam 100/100 2022-06-07 09:00
• * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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