afro-nets
[Top] [All Lists]

[afro-nets] Reminder: Short Course on Bayesian Analysis of Longitudinal Studies

Bayesian Analysis of Longitudinal Studies, 26-27 November 2015, Stellenbosch, 
South Africa (early bird registration deadline: 30 September 2015)

Prof. Emmanuel Lesaffre of the Leuven Biostatistics and Statistical 
Bioinformatics Centre (L-BioStat), Catholic University of Leuven, Belgium, will 
be presenting this intensive two-day course at Stellenbosch under the auspices 
of the South African DST/NRF Centre for Epidemiological Modelling and Analysis 
(SACEMA). The course will take place from 9 am to 4 pm daily at the 
Stellenbosch Institute for Advanced Study (STIAS).

The total course fee, including refreshments, lunches and social events, is 
R3000 for early bird registration by 30 September 2015 and R4000 for later 
registration, deadline 31 October 2015. Of this, R500 is a non-returnable 
registration fee. For international participants, the course fee is 400 euros 
for early bird registration, and 450 euros for late registration. Of this, 50 
euros is a non-returnable registration fee. Accommodation, breakfast and dinner 
is not included in the course fee, but accommodation packages may be negotiated 
through SACEMA.

Registration should be done online at 
http://www.sacema.org/node/bayesian-analysis-of-longitudinal-studies-26-27-november-2015-stellenbosch-south-africa-.
 Enquiries may be directed to the SACEMA Research Manager, Ms Lynnemore 
Scheepers, at scheepersl@sun.ac.za, or phone: +27(0)21 8082589.

Summary:
Longitudinal studies constitute an important class of studies in clinical 
research and arise when a response is repeatedly measured over time. This is in 
contrast to a survival study where the time to an event is recorded. In the 
first case the statistical analysis involves techniques for repeated measures, 
while in the second case one essentially uses survival analysis. In the last 
decade a combination of the two statistical techniques is becoming popular and 
involves the joint modeling of survival times and longitudinal measurements. 
Longitudinal data can be analyzed in the classical, frequentist framework, but 
the Bayesian approach offers more flexible modeling options which could be 
useful when the data structure is complex (multivariate outcomes, multiple 
levels in the data, some missing data patterns, joint modeling, etc.). We will 
illustrate the Bayesian approach for the analysis of such data, by means of a 
great variety of examples. Examples will be analysed using 
WinBUGS/OpenBUGS/JAGS and R-versions of them, but also other software will be 
used. The course consists of 2 parts: Part I: introduction to the Bayesian 
approach based on the newly released book Bayesian Biostatistics of Lesaffre 
and Lawson and Part II: devoted to the analysis of FU studies.

The course will be oriented towards an applied audience with a good knowledge 
of various regression models. Some advance knowledge of classical repeated 
measurements analysis and classical survival analysis will be helpful. The 
Bayesian concepts will be introduced only briefly; hence a prior course on the 
Bayesian approach will certainly be helpful. The concepts will be explained on 
real data examples for which either R, WinBUGS, etc. code will be provided 
together with data to try out at a later time. Knowledge of R will be quite 
useful for the course, but no prior knowledge of WinBUGS is assumed, although 
this also would be helpful.

Closing date for early bird registration: Wednesday, 30 September 2015.
Closing date for later registration: Saturday, 31 October 2015.

Lynnemore Scheepers
Research Manager
DST/NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA)
Stellenbosch University
19 Jonkershoek Road Stellenbosch 7600
Tel: +27 21 808 2589; Fax: +27 21 8082586
Website: http://www.sacema.org
Epidemiological update: http://www.sacemaquarterly.com
mailto:scheepersl@sun.ac.za

<Prev in Thread] Current Thread [Next in Thread>
  • [afro-nets] Reminder: Short Course on Bayesian Analysis of Longitudinal Studies, Lynnemore Scheepers <=