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New module for LEMMA online course

21 October 2013

Module 14: Missing Data has been added to the LEMMA online course

Module 14: Missing Data has been added to the LEMMA online course.

Summary:

In this module we aim to introduce the issues raised by missing data and the central assumptions on which any analysis of partially observed data must rest. We then review commonly used ad-hoc approaches for handling missing data, before going on to introduce and contrast two increasingly widely used methods for the analysis of partially observed data: multiple imputation and inverse probability weighting.

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