PhD Courses in Denmark

This 3-day 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. 

This one-day course is intended to give the participants an insight into the world of systematic reviews; the various types, the varying quality, and how to quickly scan a systematic review article to see if it could be a useful document.

Students are encouraged to work on their own projectdata and share questions, troubleshooting and solving of problems in the classroom with peers, to increase the learning experience.

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 q

This course gives an introduction to the modern analysis in genetic studies of twins. The students will be able to apply basic methods and biometric models using the statistical package Mx. The students learn how to investigate genetic and environmental i

In this PhD course we will present, explore and reflect on different ways of conducting qualitative analyses. We will address questions such as What is a good qualitative analysis? What do we mean by theory and theoretical work, and how does theory influe

The student is introduced to the basic statistical techniques applied to biological and medical examples. Topics covered are: Descriptive statistics, data types, elementary probability concepts, statistical distributions, comparison of two samples by para

Topics covered are: analysis of longitudinal data, logistic regression, poisson regression, survival analysis, analysis of diagnostic studies, agreement and standardization. The statistical package Stata is used extensively for analysis of real medical an

Topics covered are: analysis of longitudinal data, logistic regression, poisson regression, survival analysis, analysis of diagnostic studies, agreement and standardization. The statistical package Stata is used extensively for analysis of real medical an

The course offers a wide assessment of the many aspects of the clinical cancer research from prevention to palliation. among the central topics are the structure of Danich clinical cancer research, design of clinical trials, their practical execution and