PhD Courses in Denmark

A scientific article typically provides the first table presenting characteristics for the study population. The characteristics include for example frequencies for categorical variables, mean and standard deviations for continuous variables, p values etc

This course will introduce the participants to how they can use news media and social media to increase awareness and dissemination of their research. The course will be a combination of lectures by journalists and researchers highly experienced in using

To build bridges between different research fields, so we can talk across disciplines, that is, the understanding of the other disciplines research and value.

Research impact will be the topic of lectures and discussion on what makes research matter and the ways that researchers’ impact is measured. Lectures and discussions will cross different academic fields and research traditions. Thus, you will come to ref

This course gives an introduction to survival analysis for clinical and observational studies. The students will be able to apply modern survival analysis ranging from design of study to selection and interpretation of publishable results. The students le

Systematic critical literature reading is an introduction into the three aspects of efficient reading: 1 how to set up different grids used for systematic reading, 2. how to scan the literature for relevant items, and 3. how to divide these items into tho

Systematic critical literature reading is an introduction into the three aspects of efficient reading: 1 how to set up different grids used for systematic reading, 2. how to scan the literature for relevant items, and 3. how to divide these items into tho

Stigmatisation of people with high weight is common and widespread in Denmark as well as in most of the world. As the prevalence of overweight and obesity is increasing, so is the problem of weight stigmatisation. People with high weight do not only suffe

Directed acyclic graphs (DAGs) are increasingly used in modern epidemiology to visually present causal assumptions. Once one can manage the rules for translating the causal assumptions into a DAG and reading off statistical associations from the causal as