Doctoral courses

Doctoral courses at MEB

Doctoral courses within the Epi-program given at the department during spring 2017

Biostatistics II: Logistic regression for epidemiologists

This course focuses on the application of logistic regression in the analysis of epidemiological studies.

Epidemiology I: Introduction to epidemiology The aim of the course is to give an introduction to epidemiological theory and practice.
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.

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.
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.
Genetic Epidemiology The course is about concepts and methods used in studies of genetic variation influencing disease and other phenotypes.

Links

BiostatisticsEpidemiology