Bayesian Statistics [EL003]
Course highlights
EC points
1.4
Start date
13-02-2024
End date
22-02-2024
Course days
Full days
Faculty
Prof. Emmanuel Lesaffre, PhD
Course fee
€ 975
Location
Erasmus MC, Rotterdam NL
Level
Advanced
Prerequisites
Biostatistical Methods I: Basic Principles (CK020), Biostatistical Methods II: Classical Regression Models (CK030) or equivalent knowledge, this is intermediate level epidemiology and statistics.
Review of Mathematics and Introduction to Statistics (online course CK001), Repeated Measurements (EL002) and Missing Values in Clinical Research (EL009) are strongly recommended.
Disciplines
- Biostatistics
Application
How to applyDownloads
Detailed information about this course:
Description
There is growing acknowledgement of the value of Bayesian methods for complex models in biostatistics and epidemiology, in dealing with issues such as multiplicity, measurement error, spatial associations and hierarchical structure. This course will introduce the essentials of Bayesian ideas, emphasizing practical application using exact and simulation-based software. Examples will include the use of Bayesian methods in clinical trials, institutional comparisons, smoothing of disease rates, and frailty models.
See 'how to apply' for the course registration period.
Objectives
- Introduce Bayesian concepts and contrast them with the frequentist approach;
- Understand the background and the importance of computer intensive methods in Bayesian statistical analyses, such as the Markov Chain Monte Carlo (MCMC) techniques: Gibbs and Metropolis-Hastings sampling;
- Be able to work with some Bayesian software, such as WinBUGS etc.;
- Understand the applications and developments in the epidemiological literature involving Bayesian approaches.Keywords: Bayesian analysis, Gibbs sampling, MCMC.
Participant profile
Epidemiologists and clinical researchers.
Assessment
Assignment(s), Attendance
Reduction on fees
PLEASE NOTE: This does not apply to the fee of the research master programmes (120 EC points)
No fees are charged for Erasmus MC PhD candidates, provided they have an account in Hora Finita, the Erasmus University PhD registration system. When submitting the application, you can state that someone else pays your tuition fee.
In case of cancellation or no show, the cancellation policy applies based on the full course fee.
25% reduction for all (international) PhD candidates without formal appointment at Erasmus MC
Upon receipt of your application you will receive a request to upload proof of enrollment as a PhD candidate.