Insights into the cross-world independence assumption of causal mediation analysis
RM Andrews, V Didelez - Epidemiology, 2021 - journals.lww.com
Causal mediation analysis is a useful tool for epidemiologic research, but it has been
criticized for relying on a “cross-world” independence assumption that counterfactual …
criticized for relying on a “cross-world” independence assumption that counterfactual …
Outcomes of various classes of oral antidiabetic drugs on nonalcoholic fatty liver disease
Importance Several oral antidiabetic drug (OAD) classes can potentially improve patient
outcomes in nonalcoholic fatty liver disease (NAFLD) to varying degrees, but clinical data on …
outcomes in nonalcoholic fatty liver disease (NAFLD) to varying degrees, but clinical data on …
Counterfactual neural temporal point process for estimating causal influence of misinformation on social media
Recent years have witnessed the rise of misinformation campaigns that spread specific
narratives on social media to manipulate public opinions on different areas, such as politics …
narratives on social media to manipulate public opinions on different areas, such as politics …
An interventionist approach to mediation analysis
Probabilistic and Causal Inference: The Works of Judea Pearl: An Interventionist Approach to
Mediation Analysis Page 1 38 Judea Pearl’s insight that, when errors are assumed …
Mediation Analysis Page 1 38 Judea Pearl’s insight that, when errors are assumed …
A generalized theory of separable effects in competing event settings
In competing event settings, a counterfactual contrast of cause-specific cumulative
incidences quantifies the total causal effect of a treatment on the event of interest. However …
incidences quantifies the total causal effect of a treatment on the event of interest. However …
Defining causal mediation with a longitudinal mediator and a survival outcome
V Didelez - Lifetime data analysis, 2019 - Springer
In the context of causal mediation analysis, prevailing notions of direct and indirect effects
are based on nested counterfactuals. These can be problematic regarding interpretation and …
are based on nested counterfactuals. These can be problematic regarding interpretation and …
Time-varying intensity of oxygen exposure is associated with mortality in critically ill patients with mechanical ventilation
Z Zhu, M Zhou, Y Wei, H Chen - Critical Care, 2022 - Springer
Background There is no consensus exists regarding the association between oxygen
exposure (arterial oxygen tension or fraction of inspired oxygen) and outcomes for patients …
exposure (arterial oxygen tension or fraction of inspired oxygen) and outcomes for patients …
Reducing socio-economic inequalities in all-cause mortality: a counterfactual mediation approach
Background Socio-economic inequalities in mortality are well established, yet the
contribution of intermediate risk factors that may underlie these relationships remains …
contribution of intermediate risk factors that may underlie these relationships remains …
Causal modeling of policy interventions from treatment-outcome sequences
A treatment policy defines when and what treatments are applied to affect some outcome of
interest. Data-driven decision-making requires the ability to predict what happens if a policy …
interest. Data-driven decision-making requires the ability to predict what happens if a policy …
Causal inference for event pairs in multivariate point processes
T Gao, D Subramanian… - Advances in …, 2021 - proceedings.neurips.cc
Causal inference and discovery from observational data has been extensively studied
across multiple fields. However, most prior work has focused on independent and identically …
across multiple fields. However, most prior work has focused on independent and identically …