2 papers
stat.ME2019
A review and evaluation of standard methods to handle missing data on time-varying confounders in marginal structural models
Clemence Leyrat, James R Carpenter, Sebastien Bailly +1
Marginal structural models (MSMs) are commonly used to estimate causal intervention effects in longitudinal non-randomised studies. A common issue when analysing data from observat…
stat.AP2019
The population-attributable fraction for time-dependent exposures and competing risks - A discussion on estimands
Maja von Cube, Martin Schumacher, Sebastien Bailly +5
The population-attributable fraction (PAF) quantifies the public health impact of a harmful exposure. Despite being a measure of significant importance an estimand accommodating co…