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Department of Epidemiology and Public Health, Imperial College
at St Mary's.
Short Course Series 2001
Modern Statistical Methods in Epidemiology
Four short courses will be held in the spring of 2001 designed to give
in-depth knowledge of the principles and applications of modern statistical
methods in epidemiology, with a particular focus on Bayesian implementation.
There will be a large practical component to each course with time for hands
on data analysis. The courses are designed to be of interest to researchers
in areas such as biostatistics, epidemiology, medical geography and
environmental science, together with public health specialists, regulators
and other health-care professionals with an interest in understanding and
applying advanced quantitative methods.
1. Bayesian hierarchical models 12-14th February
2. Longitudinal data analysis 26-28th February
3. Spatial Epidemiology 12-14th March
4. Measurement error models 2nd and 3rd April
Course outlines:
1. Bayesian hierarchical models
This 3-day course covers the fundamentals of Bayesian inference; Markov
chain Monte Carlo methods; the Gibbs sampler; MCMC in practice - its
strengths and weaknesses; convergence issues; hierarchical models in the
analysis of epidemiological data; and practical experience of using the
WinBUGS software.
(Course organisers: Dr Clare Marshall and Professor Sylvia Richardson)
2. Longitudinal data analysis
Course content: merits of longitudinal studies; understanding dependence
structures in longitudinal data; marginal models; Bayesian hierarchical
modeling -- random effects and dynamic models; age-period-cohort modeling;
practical applications in epidemiology.
(Course organiser: Dr Leo Knorr-Held)
3. Spatial Epidemiology
Course content: strengths and weaknesses of spatial studies; confounding;
environmental exposures; ecological vs individual design; binomial and
Poisson regression; analysis of point source studies; Bayesian approaches;
spatially dependent random effects; Markov-random field models; disease
clustering and cluster investigations; analysis of spatial data using the
GeoBUGS software.
(Course organisers: Dr Nicky Best and Prof Paul Elliott)
4. Measurement Error Models
Course content: linear measurement error models; classical and Berkson error
models; identifiability issues; modeling error in logistic and Poisson
regression; calibration techniques; Bayesian methods for assessing the
impact of measurement error; practical applications in epidemiology.
(Course organisers: Dr Mark Little and Prof Sylvia Richardson)
REGISTRATION FEES: The registration fee for the 3-day courses is £225
(academic rate), and £450 (standard rate). The 2-day course is set at £150
(academic rate) and £300 (standard rate). The fee covers participation in
the course, course materials, tea/coffee and lunches, but does not cover
travel costs, accommodation or evening meals.
If you would like to reserve a place on any of the courses, please fill out
the following registration form. Numbers are limited and so places will be
assigned on a first come first served basis.
For further information please contact the course administrator on 020 7594
3318 or
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APPLICATION FORM:
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To: Ms Julitta Iranek-Osmecka, Short Course Administrator, Dept.
Epidemiology and Public Health, Imperial College School of Medicine, Norfolk
Place, London, W2 1PG.
Title Forename Surname
Position:
Organisation:
Address:
Postcode:
Telephone:
Email:
Please tick below to reserve a place on the following course(s):
__ Bayesian hierarchical models 12-14th February
__ Longitudinal data analysis 26-28th February
__ Spatial Epidemiology 12-14th March
__ Measurement error models 2nd and 3rd April
Please tick below where appropriate:
__ I apply for a place on the above course(s) at the standard rate of £450
(3-day) or £300 (2-day).
__ I apply for a place on the above course(s) at the reduced rate of £225
(3-day) or £150 (2-day).
__ I enclose a cheque for £............., payable to `Imperial College of
Science, Technology and Medicine'.
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