Bayesian Approaches to Handling Missing Data

Date:

30/01/2012

Organised by:

Imperial College London

Presenter:

Nicky Best

Level:

Advanced (specialised prior knowledge)

Contact:

n.best@imperial.ac.uk

Location:

View in Google Maps  (W2 1PG)

Venue:

Imperial College London, Praed Street

Description:This 1-day workshop will provide an overview of Bayesian methods for dealing with missing data in the analysis of experimental and observational studies, and will contrast the Bayesian approach with some other model-based methods for handling missing data. The workshop will be followed by an optional 2nd day practical class, in which participants will learn how to implement some Bayesian missing data models using the WinBUGS software.

Cost:

£30 UK registered PG students
£60 All other participants

Website and registration:

Register for this course

Region:

Greater London

Keywords:

Nonresponse , Quantitative Data Handling and Data Analysis, Statistical Theory and Methods of Inference, Regression Methods, Bayesian analysis , Multiple imputation , Missing data


Related publications and presentations from our eprints archive:

Nonresponse
Quantitative Data Handling and Data Analysis
Statistical Theory and Methods of Inference
Regression Methods

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