Doctoral courses

Doctoral courses at MEB

Doctoral courses within the Epi-program given at the department

Spring 2018

Biostatistics II: Logistic regression for epidemiologists This course focuses on the application of logistic regression in the analysis of epidemiological studies.
Biostatistics III: Survival analysis for epidemiologists The course aims to introduce statistical concepts and methods for analysing time-to-event data with emphasis on applications in epidemiology and public health.
Causal inference for epidemiological research Causal inference from observational data is a key task of epidemiology and of allied sciences such as sociology, education, behavioral sciences, demography, economics, health services research, etc.
Epidemiology I: Introduction to epidemiology The aim of the course is to give an introduction to epidemiological theory and practice.

Introduction to R

The course will cover the basic elements of a standard statistical workflow.

Fall 2017

Applied Longitudinal Data Analysis The aim of the course is to introduce modern methods for the analysis of longitudinal and repeated measures studies which are commonly used in epidemiological studies and in clinical trials.
Biostatistics I - Introduction for epidemiologists The course aims to introduce statistical concepts and methods with emphasis on applications in epidemiology and public health.
Infectious disease epidemiology The course aims to show how epidemiological tools apply to the study of infectious diseases.
Biostatistics III: Survival analysis for epidemiologists in R The course aims to introduce statistical concepts and methods for analysing time-to-event data with emphasis on applications in epidemiology and public health.
Extensions to the design and analysis of case-control studies

To enable practicing epidemiologists to make more efficient use of already-available case-control data and to design case-control studies that will extend the possibilities for future analysis.

Multivariate prediction modelling with applications in precision medicine This course aims to provide an introduction to both supervised and unsupervised methodologies for prediction modelling with a focus on biomedical applications, molecular epidemiology and personalised medicine.

Other courses within the Epi-program

Introduction to Stata for epidemiologists The aim of the course is to provide a basic knowledge of Stata, a statistical software program, for the analysis of epidemiological data.
Reproductive Epidemiology Fundamentals of human reproduction, overview of reproductive physiology, definitions and epidemiology of reproductive terms.
Genetic Epidemiology The course is about concepts and methods used in studies of genetic variation influencing disease and other phenotypes.
   
   
   
   

Links

BiostatisticsEpidemiology