Introduces extended bridge functions and derives identification results for joint interventional distributions retaining proxy variables in proximal causal inference.
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Introduces progressive visualization for comparing causal discovery algorithms and comparative graph layouts for analyzing multi-outcome causal graphs in healthcare.
Distinguishing mechanistic causality from difference-making causality through applied mathematics alongside statistics can help explain discrepant results and improve the reliability of scientific inquiry.
citing papers explorer
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Identifying Interventional Joint Distributions via Extended Bridge Functions
Introduces extended bridge functions and derives identification results for joint interventional distributions retaining proxy variables in proximal causal inference.
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Visual Analysis of Multi-outcome Causal Graphs
Introduces progressive visualization for comparing causal discovery algorithms and comparative graph layouts for analyzing multi-outcome causal graphs in healthcare.
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Causality and Scientific Inquiry: Lessons from Space Physics and Medical Sciences
Distinguishing mechanistic causality from difference-making causality through applied mathematics alongside statistics can help explain discrepant results and improve the reliability of scientific inquiry.