G-formula with missing data via multiple imputation
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.
Dr Jonathan Bartlett, Professor in Medical Statistics, LSHTM
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