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. 

The participants are introduced to analysis of studies with different designs and reporting of results from register-based studies. The primary focus in this course will be on analysis of cohort studies, case-control studies and longitudinal studies.

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

The participants will achieve knowledge about the assessment of (and adaptive plasticity) in: mechanical muscle function, neuronal function, muscle morphology and architecture, myofibre growth and atrophy factors, apoptosis signalling, myogenic satellite

The course will provide an introduction to the statistical software R for people with a basic knowledge of statistical concepts. R has become the lingua franca in statistics and many applied fields. The flexibility and large number of user-contributed pac

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

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