4 citations · 4 across the 6 of their papers we have counts for
6 papers
Decision-analytical models as causal models
Maurice Korf, Myriam Hunink, Richard Post +1
Health economic evaluations are fundamentally concerned with answering causal questions by targeting estimands that contrast the costs and health consequences that would be observe…
Bias of the additive hazard model in the presence of causal effect heterogeneity
Richard Post, Edwin van den Heuvel, Hein Putter
Hazard ratios are prone to selection bias, compromising their use as causal estimands. On the other hand, the hazard difference has been shown to remain unaffected by the selection…
The built-in selection bias of hazard ratios formalized
Richard Post, Edwin van den Heuvel, Hein Putter
It is known that the hazard ratio lacks a useful causal interpretation. Even for data from a randomized controlled trial, the hazard ratio suffers from built-in selection bias as,…
Beyond Conditional Averages: Estimating The Individual Causal Effect Distribution
Richard Post, Edwin van den Heuvel
In recent years, the field of causal inference from observational data has emerged rapidly. The literature has focused on (conditional) average causal effect estimation. When (rema…
Flexible machine learning estimation of conditional average treatment effects: a blessing and a curse
Richard Post, Isabel van den Heuvel, Marko Petkovic +1
Causal inference from observational data requires untestable identification assumptions. If these assumptions apply, machine learning (ML) methods can be used to study complex form…
Individual causal effects from observational longitudinal studies with time-varying exposures
Richard Post, Zhuozhao Zhan, Edwin van den Heuvel
Causal effects may vary among individuals and can even be of opposite signs. When significant effect heterogeneity exists, the population average causal effect might be uninformati…