PhD Courses in Denmark

Welcome to Bayesian Statistics Simulation and Software (2025)Description: During the last decades, Bayesian statistics has gained enormous popularity as an elegant and powerful computational tool to perform statistical analysis in complex stocha

Doctoral Students can be stressed, and many experience a need for more productivity. Using simple tools and establishing good writing habits can make the PhD and the research process more enjoyable and rewarding. The writing workshop focuses on you and yo

FacultyProfessor Peter BogetoftDepartment of Economics, CBSPrerequisitesA basic knowledge of quantitative methods and statistics is required; however, the course will revisit and refresh participants’ prior knowledge as needed. The focus will be on

Aim and contentThis course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD Students from NorDoc member faculties. All other participants must pay the course fee.Anyone can apply for the course, bu

ContentRelevant for students within medical and biological sciences Aim and contentThis advanced biological imaging course module will introduce to X-ray imaging as possible with lab and hospital X-ray instruments or synchrotron beamlines. The course

General course objectives:Optical methods and instrumentation based on light interacting with tissue have emerged as powerful techniques for bio-medical diagnostics, monitoring wide spectra of tissue function and pathology together with therapy. The purpo

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

Welcome to BIOSTATISTICS IIDescription: This course on biostatistics focused on the complexity of data collected in biomedical research. Therefore, the course focused on topics like sample size estimation, meta-analysis and multi-factorial methods.Pr