Public Health

Analytical work in qualitative and ethnographic health research

In this PhD course we will present, explore and reflect on different ways of conducting qualitative analyses.

Course dates: 22-23/10 + 27/11 2025

Biostatistics II

The student is introduced to a number of statistical techniques applied to medical and health related examples.

Course dates: 23/10 + 30/10 + 6/11 + 13/11 + exam 10-11/12 2025

Analysis of qualitative data; Introduction and "hands on" with a phenomenological-hermeneutical approach inspired by Paul Ricoeurs interpretation theory

The aim is to give the students in debt knowledge about how to argue critically and reflect on how Ricoeurs philosophy forms the framework of a phenomenologic-hermeneutical approach and how it provides a structured analysis and interpretation process of qualitative data.

Course dates: 18-20/11 2025

Survival Analysis

This course gives an introduction to survival analysis for clinical and observational studies.

Course dates: 20/11 + 27/11 2025

Responsible Conduct of Research

The course introduces PhD students from the health sciences to basic concepts, principles, and norms concerning responsible conduct of research.

Course dates: 1 + 10/12 - 2025

AI Statistical Learners in Health Science

The course aims to introduce recent methodology of statistical learning that has proven useful at least in assisted diagnostics and prognosis, useful in detecting patterns and is expected to play an increasing role in clinical settings.

Course dates: 3-4/2 + 2026

Introduction to "R"

The course will provide an introduction to the statistical software R for people with a basic knowledge of statistical concepts.

Course dates: 5-6/2 2026

Biostatistics I

The student is introduced to the basic statistical techniques applied to biological and medical examples.

Course dates: 19/2 + 26/2 + 5/3 + 12/3 + 17/3 + Exam 18-25/3 2026

Advanced Biostatistical methods in Health Sciences – a bootcamp course

This course aims at medical scientists who probably already have collected part of their data for an actual project and are facing a concrete data analytical problem.

Course dates: 23-24/2 2026

Reproducible data analysis in Stata

Course dates: 3/3 + 10-11/3 2026

Global Health Metrics and Economics

The course emphasizes practical experience in estimating mortality, morbidity, and economic burden using real-world data and fosters critical thinking about the ethical and methodological challenges in global health metrics and economics.

Course dates: 16-19/3 2026

Patient and User involvement in Health Research

Course dates: 16-19/3 2026

Introduction to Quantitative Bias Analysis to Epidemiologic Data

The course aims at providing the background, implementation, and interpretation of quantitative bias analyses concerning epidemiological studies.

Course dates: 16/3 + 18-20/3 2026

Biostatistics II

The student is introduced to a number of statistical techniques applied to medical and health related examples.

Course dates: 26/3 + 9/4 + 16/4 + 23/4 + exam 21/5 or 28/5 2026

Weight Stigma

Stigmatisation of people with high weight is common and widespread in Denmark as well as in most of the world.

Course dates: 14/4 2026

Analytical work in qualitative and ethnographic health research

In this PhD course we will present, explore and reflect on different ways of conducting qualitative analyses.

Course dates: 22-23/10 + 27/11 2025

Introduction to estimation of the causal effects in an observational study and g-methods

Course dates: 4-8/5 2026

An Introduction to Genomics in Health Science

This course aims at introducing to biomedical researchers a foundational understanding of genomics, epigenomics and transcriptomics, laboratory techniques, and motivating practical applications in disease and health researches. 

Course dates: 20-22/5 2026

Which covariates to adjust for: An introduction to directed acyclic graphs

The course aims to provide participants with an introduction to the use of directed acyclic graphs (DAGs) as a tool to control confounding and other sources of bias in observational studies.

Course dates: 24/8 + 26-28/8 2026

Dilemmas in Intervention Research

The course will stimulate the students to address and consider the dilemmas involved in developing, implementing, and evaluating intervention programs.

Course dates: 25-27/8 +24/9 2026

Introduction to "R"

The course will provide an introduction to the statistical software R for people with a basic knowledge of statistical concepts.

Course dates: 3-4/9 2026

Biostatistics I

The student is introduced to the basic statistical techniques applied to biological and medical examples.

Course dates: 10/9 + 17/9 + 24/9 + 1/10 + 06/10 + Exam 7-20/10 2026

Register-based Epidemiology

The participants are introduced to registers and register-based studies, epidemiological problems within register-based research and how to design register-based studies.

Course dates: 14-18/9 2026

Mixed models in Health Science

This course provides an intensive introduction to multilevel models, a class of regression models for hierarchical or clustered data or measurements taken repeatedly over time.

Course dates: 15/9 + 22/9 2026

Biostatistics II

The student is introduced to a number of statistical techniques applied to medical and health related examples.

Course dates: 22/10 + 29/10 + 5/11 + 12/11 + exam 15-16/12 2026

Analysis of twin data in health research

This course gives an introduction to the modern analysis in genetic studies of twins.

Course dates: 27-28/10 2026

From project to field engagement in qualitative research

In this PhD course, we will explore and reflect on how to analytically engage in and identify a research field

Course dates: 2-4/11 2026

Health Economic Evaluation Based on Clinical Trials

The aim of the course is to provide an overview and a basic understanding of economic evaluation in health care, to enable participants to perform economic evaluations themselves, and to critically assess the quality of economic evaluations of health care interventions in the literature.

Course dates: 16-19/11 2026

Analysis of qualitative data; Introduction and "hands on" with a phenomenological-hermeneutical approach inspired by Paul Ricoeurs interpretation theory

The aim is to give the students in debt knowledge about how to argue critically and reflect on how Ricoeurs philosophy forms the framework of a phenomenologic-hermeneutical approach and how it provides a structured analysis and interpretation process of qualitative data.

Course dates: 17-19/11 2026

Survival Analysis

This course gives an introduction to survival analysis for clinical and observational studies.

Course dates: 19/11 + 26/11 2026