
Inference and Models
Inference and Models
Statistical inference is intended to aid in answering scientific questions about a population, based on a sample from this population, i.e. on data that are subject to variability. The data generating mechanism is described as a probability model that is completely specified except for a limited number of unknown parameters. The questions that can be answered are a) are the data consistent with the model? and b) assuming that a) is fulfilled, what can be concluded about values of the unknown parameters? In this course, the basic principles of statistical inference are presented, with an emphasis on likelihood methods. Methods are illustrated by the classical linear model.
Learning Objectives
At the end of the course, the student will:
- understand the sampling principles of statistical inference
- be familiar with the principles of likelihood theory
- know the different types of hypothesis tests
- know the standard methods of point estimation
- know the standard methods of interval estimation
- be familiar with numerical methods for statistical inference
- know different modeling strategies and when to use them
Target Group
Our courses are aimed at clinical researchers, nurses, general practitioners, and other health professionals who want to improve their skills in epidemiology, statistics and (clinical) research.
Duration & Blended Learning
1 week, fulltime
This face to face course of Introduction to Statistics is offered via blended learning i.e. e-learning, computer practicals, exercises, self-study.
Questions on theory and exercises can be posted on the appropriate forum on the learning environment or asked during the computer labs in the afternoon (on location, attendance is optional). The exam will be on location (i.e. not online).
Once every two years
This course is offered once every two years. The next course will take place in the academic year 2025-2026.
Application
Please note that this course is part of an existing program within the Graduate School of Life Sciences. Tuitition fees may alter during the year.
MSc Epidemiology Educational Office
+31 (0)88 75 69710
msc-epidemiology@umcutrecht.nl