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10/29/2022
On the distribution of individual causal effects of binary exposures using latent variable models
In recent years the field of causal inference from observational data ha...
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10/29/2022
Bias of the additive hazard model in the presence of causal effect heterogeneity
Hazard ratios are prone to selection bias, compromising their use as cau...
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10/29/2022
The built-in selection bias of hazard ratios formalized
It is known that the hazard ratio lacks a useful causal interpretation. ...
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10/29/2022
Flexible machine learning estimation of conditional average treatment effects: a blessing and a curse
Causal inference from observational data requires untestable assumptions...
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11/10/2021
Clustering of longitudinal data: A tutorial on a variety of approaches
During the past two decades, methods for identifying groups with differe...
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09/06/2021
Estimation of individual causal effects in observational longitudinal studies
Causal effect sizes may vary among individuals and they can even be of o...
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09/07/2020