Bayesian Biostatistics: 20-24 October 2014 (Stellenbosch): Deadline extended to 8 September 2014
Prof. Emmanuel Lesaffre (Department of Biostatistics, Erasmus University Medical Center, Rotterdam, the Netherlands, and Catholic University of Leuven, Belgium) presented this five-day course at Stellenbosch under the auspices of the South African DST/NRF Centre for Epidemiological Modeling and Analysis (SACEMA).
Course summary: In the last two decades the Bayesian approach has become increasingly popular in virtually all application areas. The approach is especially known for its capability to tackle complex statistical modeling tasks. The aim of this course is to introduce the participants smoothly into Bayesian statistical methods, from basic concepts to hierarchical models, model building and model testing. Numerous biostatistical examples illustrate the theoretical concepts. The course is scheduled into classroom teaching and computer exercises, and uses the software packages FirstBayes, WinBUGS, OpenBUGS, JAGS and R. The course is based on a recently published Wiley book of Lesaffre and Lawson, entitled Bayesian Biostatistics. Each participant received a copy of this book, included in the course fee.
The course assumes a good knowledge of regression techniques (linear, logistic, etc.) and some knowledge of models for correlated data. Experience with R is beneficial though not essential; however programming skills are required for the course.
For the full announcement, click here.
Emmanuel Lesaffre is Professor of Biostatistics at L-Biostat, K.U.Leuven, Leuven, Belgium. His research interests include Bayesian methods, longitudinal data analysis, statistical modelling, analysis of dental data, interval censored data, misclassification issues and clinical trials. He has written more than 300 papers in peer-reviewed statistical and medical journals. He is the founding chair of the Statistical Modelling Society, past-president of the International Society for Clinical Biostatistics and fellow of ISI and ASA.
He (co-)authored four books among which the recently published Wiley book Bayesian Biostatistics (2012) together with Andrew Lawson.