course-details-portlet

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.

Required previous knowledge

The course requires basic knowledge of quantitative methods in medicine and health sciences

More on the course

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Facts

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

Coursework

Term no.: 1
Teaching semester:  SPRING 2025

Language of instruction: English

Location: Ålesund , Gjøvik , Trondheim

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

Department with academic responsibility
Department of Public Health and Nursing

Timetable

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Examination

Examination arrangement: School exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD School exam 100/100 G INSPERA
Room Building Number of candidates
  • * 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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