Advanced Multiple Imputation Methods to Deal with Missing Data

Multiple imputation is a principled approach to account for missing data in analyses where valid results depends on careful construction of the imputation model. The potential for misspecification of the imputation model depends on several factors including the complexity of the analysis of interest, assumed reasons for missing data and the types of variables to be imputed. This course will introduce you to advanced multiple imputation methods that have been developed to address complex missing data analyses.

Date 11 December 2023
Fee £220
Format Online
Audience Open to all applicants (prerequisites apply)

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This course builds on prior knowledge of multiple imputation for dealing with missing data, and extends this to the application of multiple imputation in complex analyses.

Please click on the sections below for more information. 

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The course was very focused, with clear learning objectives and good materials. Rachel and Jon are experts in the field, willing to share their knowledge, which is wonderful for learners

Course feedback, December 2023

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Find out about the self-paced Materials & Recordings version of this course [UoB only].

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