Bayesian Statistics [EL003]

Course highlights

EC points

1.4

Start date

15-02-2022

End date

23-02-2022

Course days

Full days

Faculty

Prof. Emmanuel Lesaffre, PhD

Course fee

€ 910

Location

Erasmus MC, Rotterdam NL

Level

Advanced

Prerequisites

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 (CK020). Before 2017-2018 CK020 (BST02) was part of Courses for the Quantitative Researcher (SC17). 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.

Disciplines

  • Biostatistics

Application

How to apply

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.

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 RESEARCH MASTERS (120 EC points)

No fees are charged for participation of Erasmus MC PhD candidates

Please note that in case of cancellation or no show, the cancellation policy applies based on the full course fee.

 

25% reduction for all (international) PhD students without formal appointment at Erasmus MC

Upon receipt of your application you will receive a request to upload proof of enrollment as a PhD student.