Course - Statistics for Medicine and Health Sciences - MH3061
MH3061 - Statistics for Medicine and Health Sciences
About
New from the academic year 2023/2024
Examination arrangement
Examination arrangement: School exam
Grade: Letter grades
| Evaluation | Weighting | Duration | Grade deviation | Examination aids |
|---|---|---|---|---|
| School exam | 100/100 | 4 hours | G |
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 MH3006, 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 MH3006, 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 MH3006, the student should
- have a basis for understanding the presentation of statistical analyses and results in scientific literature
Learning methods and activities
Lectures and exercises.
Compulsory assignments
- Mandatory 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: Code G: Specified printed and handwritten aids. Any calculator.
Recommended previous knowledge
It is recommended that the student has previous knowledge in coherence with the learning outcome of MH3000 Introduction to research methods.
Required previous knowledge
Completed bachelor's degree or equivalent.
Course materials
To be announced
No
Version: 1
Credits:
7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: AUTUMN 2023
Language of instruction: Norwegian
Location: Ålesund , Gjøvik , Trondheim
- Medicine
- Statistics
Department with academic responsibility
Department of Public Health and Nursing
Examination
Examination arrangement: School exam
- Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
- Autumn ORD School exam 100/100 G 2023-12-11 09:00 INSPERA
-
Room Building Number of candidates G326 Gnisten/Fagskolen 4 M438 Eksamensrom 4.etg, Inngang D Mustad, Inngang D 5 SL120 blå sone Sluppenvegen 14 4 SL210 Sluppenvegen 14 41 SL274 Sluppenvegen 14 1 - Spring ORD School exam 100/100 G 2024-06-14 09:00 INSPERA
-
Room Building Number of candidates SL310 Sluppenvegen 14 1
- * 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.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"