The London School of Hygiene & Tropical Medicine is now accepting
applications for:
- Introduction to Genetic Epidemiology in the GWAS era (6th - 9th
September 2011)
- High throughput sequencing in disease studies (12th - 15th September
2011)
- Methods for addressing selection bias in health economic evaluation
(21 - 22 September 2011)
Introduction to Genetic Epidemiology in the GWAS era
A short course taught in London by the Bloomsbury Centre for Genetic
Epidemiology and Statistics, a joint centre of LSHTM and UCL.
Applicants for this course may also be interested in our companion
course:
High Throughput Sequencing in Disease Studies
The Course
Genetic epidemiology holds great potential for personalised medicine
and improved biological knowledge of disease processes. This course
provides an introduction to the design, analysis and interpretation of
genetic studies of disease, with a focus on state of the art analysis of
genomewide association scans. The course consists of two 2-day modules.
In the first module, basic genetics will be introduced and relevant
statistical methods for linkage and association analysis will be
described. The second module covers the design and analysis of
genomewide association scans, including emerging applications to risk
prediction and biological pathway analysis. Throughout the course
participants will gain practical experience of analysing genetic data in
population and family studies. By the end of the course participants
will have an understanding of the fundamental concepts of genetic
epidemiology, will have a working knowledge of the terminology and
current status of the field, and will be able to perform many basic
analyses of genetic data. This course is followed by the companion
course “High throughput sequencing in disease studies”.
For further information please go to:
http://www.lshtm.ac.uk/prospectus/short/genepi_gwas.html
High throughput sequencing in disease studies
A short course taught in London by the Bloomsbury Centre for Genetic
Epidemiology and Statistics, a joint centre of LSHTM and UCL.
Rapidly developing technologies now allow genomes to be sequenced more
quickly and cheaply than ever before. This course will cover state of
the art methods and applications of next generation sequencing. The
course is organised in two 2-day modules. In the first module,
participants will be introduced to tools for analysing high throughput
sequence data, including methods for measuring copy number variants and
allele-specific expression, and conducting disease association analysis
with sequence data. The second module focuses on applications in
pathogen genomics, including sequencing of pathogen genomes,
evolutionary analysis and transcriptomics by RNA-seq. In both modules
there will be considerable opportunities to gain practical experience
with new data types such as whole genome sequence and ChIP-seq data. By
the end of the course participants will have a broad knowledge of the
state of the art and will be well equipped to analyse their own data.
This course follows the companion course “Introduction to Genetic
Epidemiology in the GWAS era”.
For further information please go to:
http://www.lshtm.ac.uk/prospectus/short/genepi_sequencing.html
Methods for addressing selection bias in health economic evaluation
A short course taught in London by health economists and statisticians
working in the Faculty of Public Health and Policy, and part of the
LSHTM Centre for Statistical Methodology.
Health economic evaluations often make use of observational data. A
major concern is that cost-effectiveness results may be subject to
selection bias. While sophisticated methods for addressing selection
bias are routinely used in other literatures, their use in economic
evaluation is limited.
This course offers an in depth description of methods for addressing
treatment selection bias. These methods include regression, propensity
score matching and a novel approach that extends propensity score
matching, Genetic Matching. The course will highlight underlying
assumptions and the pros and cons of each method.
There is a strong emphasis on applying the methods in practice, with
practical sessions illustrating how to implement each technique using
readily available software (STATA and R).
The course is aimed at health economists, or statisticians with an
interest in health economic evaluation. It is envisaged that
participants will be interested in undertaking or interpreting
cost-effectiveness analyses that use observational data.
For further information please go to:
http://www.lshtm.ac.uk/prospectus/short/smasbee.html
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