Masterclass: Multilevel multiple imputation of missing data

15 July 2020

On 13 July 2020 the Network for Applied Statisticians in Health (NASH) hosted masterclass on Multilevel Multiple Imputation

Multilevel multiple imputation of missing data

Masterclass resources

The slides and recordings related to this event are available below:

JOMO: software for multilevel multiple imputation in R

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JOMO: software for multilevel multiple imputation in R (Matteo Quartagno)

Handling missing data for interrupted time series analysis

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Handling missing data for interrupted time series analysis (Juan Carlos Alvarez Bazo)

Missing data Multilevel models

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Missing data multilevel models (James Carpenter)

Further information on missing data

Organised by UCL's Network of Applied Statistician in Health