Bayesian Statistics [EL003]
Prof. Emmanuel Lesaffre, PhD
Erasmus MC, Rotterdam NL
Biostatistical Methods I: Basic Principles (CK020), the Introduction to R course of NIHES*, Biostatistical Methods II: Classical Regression Models (CK030) and Using R for Statistics in Medical Research (BST02). As of 2021-2022, BST02 is part of CK020 and is no longer offered as a separate course. 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.
*If you have been registered for the EL003 course, you will be automatically enrolled in the Introduction to R course, a short online course.
Detailed information about this course:
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.
- 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.
Epidemiologists and clinical researchers.
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.
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.