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G-formula with missing data via multiple imputation

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The G-formula method is an increasingly popular method for estimating causal effects from observational data with a time-varying treatment or exposure. Most implementations of G-formula cannot accommodate missing values in exposure or confounder measurements, which are ubiquitous in study data.

In this talk, Dr Jonathan Bartlett will describe how G-formula can be implemented via the method of multiple imputation and that as part of this, missing data can be readily accommodated. 

Speaker

Dr Jonathan Bartlett, Professor in Medical Statistics, LSHTM 


  • Please note that you can join this event in person or you can watch the live broadcast. 
  • Please note that the recording link will be listed on this page when available.

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Free and open to all. No registration required.

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