Course - Statistical and epidemiological methods 2 - MH3024
MH3024 - Statistical and epidemiological methods 2
About
New from the academic year 2024/2025
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 requires basic knowledge of quantitative methods in medicine and health sciences. The course will introduce more advanced statistical methods and epidemiological concepts. The teaching will emphasize correspondence between research questions, study planning and design, data collection and analytical approach. A central topic will be performing and interpreting multivariable regression analyzes to estimate causal relationships, including linear and logistic regression, as well as survival analyses. Topics such as handling missing data, random and systematic errors, effect modification and non-parametric tests are also covered.
Learning outcome
Knowledge:
After completing and passing the course, the student should:
- Have in-depth knowledge of systematic errors related to confounding, selection bias and measurement error, and have knowledge of statistical methods to control for confounding
- Have in-depth knowledge of random errors, with a focus on the use and interpretation of confidence intervals and p-values.
- Have knowledge of the terms association, prediction and causality
- Have in-depth knowledge of various regression models and basic methods for assessing effect modification
- Have knowledge of different methods for survival analyses
Skills:
After completing and passing the course, the student should be able to:
- Assess the consequences of systematic errors
- Summarize results of statistical analyzes for handling confounding
- Perform and interpret simple and multiple regression analyses
- Perform and interpret simple analyzes of lifetime data
General competence:
After completing and passing the course, the student should be able to:
- Critically assess various studies with a focus on study design, effect size and precision, as well as sources of systematic errors
- Apply knowledge and skills in statistical and epidemiological methods to carry out simple research projects
Learning methods and activities
For most topics, relatively short introductions will be given, followed by practical exercises in Stata, partly with ready-made syntax (.do files), but this will vary somewhat between the different topics.
Compulsory assignments
- Mandatory written exercise
Further on evaluation
An approved mandatory practical exercise in Stata is required to sit for the exam. The approved mandatory exercise will be valid for three consecutive semesters after approval. Written exam 4 hours. Letter grade. Permitted aids: Code G: Specified printed and handwritten aids permitted. All calculators allowed.
Specific conditions
Admission to a programme of study is required:
Advanced Clinical Nursing (MAKALLMSP)
Advanced Nursing (SPVAKSPL)
Ageing and Elderly's Health (SPVIDAEHS)
Clinical Health Science (MKLIHEL)
Clinical Nursing (MKLISP)
Global Health (MSPUHE)
Health Care Management (MHLED)
Healthcare Informatics (MHI)
MH - Subjects on scientific methods at master's level (MHMETODE-H)
Master of Science in Specialised Nursing (MSPL)
Medical Imaging Technologies (MMEDBT)
Medical studies (CMED)
Mental Health (MPHLS)
Midwifery (MJORDMOR)
Miscellaneous Courses - Faculty of Medicine and Health Sciences (EMNE/MH)
Molecular Medicine (MSMOLMED)
Neuroscience (MSNEUR)
Nursing education in cardiology (SPVKAR)
Pharmacy (MFARMASI)
Physical Activity and Health (MSPAHE)
Public Health (MFHLS)
Public Health Nursing (MHELSP)
Recommended previous knowledge
Statistical and epidemiological methods 1 (MH3021/MH3022/MH3023) or equivalent
Required previous knowledge
The course requires basic knowledge of quantitative methods in medicine and health sciences
No
Version: 1
Credits:
7.5 SP
Study level: Second degree level
Term no.: 1
Teaching semester: SPRING 2025
Language of instruction: English
Location: Ålesund , Gjøvik , Trondheim
- Health Science
- Public Health
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 *
- Spring ORD School exam 100/100 G 2025-05-08 09:00 INSPERA
-
Room Building Number of candidates SL210 Sluppenvegen 14 38 SL111 lyseblå sone Sluppenvegen 14 62
- * 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"