Announcing a
Two-Day Course Sequence:
Introduction to
Bayesian Disease Mapping (IBDM)
Advanced Bayesian
Disease Mapping(ABDM)
April 15th - 16th
and 18th - 19th 2013
University of
Edinburgh, Scotland, UK
*Course content*
These courses are
designed to provide a comprehensive introduction to
the area of
Bayesian disease mapping in applications to Public Health
and
Epidemiology: The IBDM
course will run
on April 15th – 16th and the ABDM course will run on April 18th
– 19th 2013.
The IBDM two-day
course consists of sessions dealing with:
· Basic
concepts of Bayesian methods and
disease mapping
· Bayesian
computation and MCMC
· Basic
R and WinBUGS use
· Demonstration
of risk estimation and
cluster detection using WinBUGS
· Hands-on
with simple WinBUGS
models: Poisson-gamma;
convolution
models for risk estimation
· Ecological
analysis, cluster models
and space-time analysis
· Basic
Space-Time models:
Bernardinelli, Knorr-Held, Waller;
seasonal
effects
· Space-Time
Kalman-filtering
* Use of
R2WinBUGS, BRugs, INLA and related software
This is designed
for those who want to cover more advanced mapping methods, and
includes
ecological analysis and the use of WinBUGS software. The course
will include
theoretical input, but also practical elements and participants
will be
involved hands-on in the use of R and WinBUGS in disease mapping
applications.
Both human and veterinary examples will
be covered in the
course as well as simple infectious disease space-time
modelling. Examples will
range over congenital anomaly birth data, Ohio respiratory
cancer and oral
cancer in Georgia.
The ABDM course
consists of:
· Spatial
models and simple variants:
convolution, proper CAR,
full MVN
· Special
application: Case event
modelling
Special
applications: sparse count
data: zip and factorial regression
· Special
applications: latent structure
(L&C and mixtures)
· Spatial
survival modelling
· Measurement
error, SEMS and Joint
modelling. CPO and pseudo Bayes factor
· Multiple
disease analysis
· Clustering
in ST data; surveillance
and Infectious disease models;
· INLA
demonstration and use
This course is
designed for those who want to cover advanced BDM methods, and
includes
advanced use of WinBUGS. The course will include theoretical
input, but also
practical elements and participants will be involved hands-on in
the use of R
and WinBUGS in disease mapping applications.
Both spatial and
spatio-temporal analyses will be considered.
Examples
will range over
childhood asthma data from Georgia, influenza in South Carolina,
and
foot-and-mouth disease in the UK.
In addition to
the main course a special mid-week tutorial session will be held
on Wednesday
17th April to allow additional support for novice WinBUGS users.
*The speaker*
Professor Andrew
B. Lawson (Division of Biostatistics & Epidemiology,
College of
Medicine, Medical University of South Carolina) is a World
Health
Organization (WHO) advisor on Disease Mapping and organized with
the WHO an
International workshop on this topic which has led to an edited
volume “Disease
Mapping and Risk Assessment for Public Health”.
He has published
a number of books focused on disease mapping and
spatial
epidemiology. In particular, the 2nd edition of the title
Lawson, A. B. (2013)
Bayesian Disease Mapping, CRC press, will be a course text for
the IBDM course.
A copy of
the book is included
in the course fee for that course only.
*Who should
attend*
The courses are
intended for epidemiologists, research scientists
and public health
workers who need to analyse geographical disease incidence. In
addition, the
courses may be of
interest to statisticians or geographers and planners
who deal with
spatial disease data. Some statistical/epidemiological
background would
be beneficial but is not essential.
*Why attend*
Participants will
gain an in-depth understanding of the basic issues,
methods and
techniques used in the analysis of spatial health data using
a Bayesian
approach. They will gain insight into the detailed analysis
of practical
problems in risk estimation and cluster detection. The
course is
presented by a leading researcher in the field of disease
mapping and
spatial epidemiology.
*course fees*
IBDM Two-day
Course – 495 GBP
Two-day course
fee includes comprehensive course notes, lunch,
refreshments and
a copy of the 2nd Edition of Bayesian Disease Mapping:
Hierarchical Modeling in
Spatial Epidemiology, Lawson, A. B., (2013), CRC press, New
York.
ABDM Two-day
Course – 460 GBP
Two-day course
fee includes comprehensive course notes, lunch, and
refreshments.
Joint booking of
both courses in the sequence is discounted to 800 GBP and with
an
academic/charity rate of 720 GBP
Attendees must
bring a laptop with R and WinBUGS 1.4.3 software
preloaded*. Datasets
will be provided. R and
WinBUGS software can be
downloaded from
the following websites: http://cran.wustl.edu
<http://cran.wustl.edu/>
and/or www.mrc-bsu.cam.ac.uk/bugs
<http://www.mrc-bsu.cam.ac.uk/bugs>
*VENUE*
The courses will
take place at the Paterson's Land, Holyrood Campus, University
of Edinburgh,
Edinburgh EH8 8AG, Scotland.
*REGISTRATION
INFORMATION*
The form and
further course information is available from
http://www.lifelong.ed.ac.uk/bayesian/