[Forum SIS] SHORT COURSE in causal inference in epidemiology: 7-11 November 2011, London School of Hygiene & Tropical Medicine

[Bianca DeStavola]

************FEW PLACES REMAINING*******************
Causal inference in epidemiology: recent methodological developments

7-11 November 2011

London School of Hygiene & Tropical Medicine
____________________________________________________________________________

COURSE ORGANISERS
Bianca De Stavola, Simon Cousens, Mike Kenward and Rhian Daniel
Guest lecturer: Stijn Vansteelandt (Ghent University, Belgium)

THE COURSE
 
Most courses on statistical modelling in epidemiology concentrate on
the use of regression models to estimate causal effects while adjusting
for measured confounders. These address uncertainty due to sampling
error but not, in general, other sources of error and uncertainty which
may arise from missing data, measurement error, uncontrolled
confounding, and/or selection bias. 
 
Recent methodological advances make it feasible to incorporate at least
some of these sources of error into statistical models so that
quantitative assessments can be made of their impact on estimates of
causal effect and the uncertainty around those estimates. 
 
The course will discuss the current state of the art with respect to
these issues, while retaining a practical focus.
 
 Participants will acquire awareness of the common threads across these
new methods and competence in applying them in simple settings.
 
 
COURSE CONTENT
The topics covered will be:
•Causal diagrams and the backdoor criterion for the identification of
confounders

• Missing data and measurement error mechanisms as components of
causal diagrams
• Methods to deal with the bias introduced by measured and
unmeasured confounders, measurement error and missing data. 
These will include: regression calibration, propensity score and
instrumental variable methods, multiple imputation, structural
equation models, inverse probability weighting of marginal
structural models and sensitivity analysis.
• Practical experience of the above methods in Stata.
 
WHO SHOULD APPLY?
Participants will be expected to be numerate epidemiologists, or
applied statisticians with an interest in epidemiology and clinical
trials. 


COURSE FEE: £ 945

FOR FURTHER INFORMATION CONTACT: bianca.destavola at lshtm.ac.uk 

TO REGISTER CONTACT:shortcourses at lshtm.ac.uk 
 
 
Centre for Statistical Methodology
http://csm.lshtm.ac.uk/
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