PhD Courses in Denmark

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

This PhD course addresses PhD- students, who work with or intend to include phenomenology and phenomenological related discussions in their research of sports, dance or health related topics. The course will focus on methodological questions and possible

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

Programmes:PhD in Physics and Technology/PhysicsSubject Director:N. Asger MortensenTeachers: Joel D. Cox, N. Asger Mortensen, Christos TserkezisRegistration and more information: Registration is done via email to Christos Tserkezis (ct@mci.

Programmes:PhD in Physics and Technology/Physics Subject Director:N. Asger Mortensen Teachers:Joel D. CoxN. Asger MortensenChristos TserkezisRegistration and more information: Registration is done via email to Christos Tserkezis (ct@mci.sdu.dk)

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

The aim of the course is to - obtain knowledge on existing health, social and welfare related registers - design studies using existing registers - identify epidemiological problems in register-based research Content: The participants are introduced to re

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

The present course will cover topics on how to run a RCT in health sciences, different types of trial designs, sample size calculation, choice of outcome, bias, placebo effect and the publication procedure.