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Found 4 papers, 1 papers with code
CKH: Causal Knowledge Hierarchy for Estimating Structural Causal Models from Data and Priors
Using CKH, we present a methodological framework for encoding causal priors from various information sources and combining them to derive an SCM.
Structural Causal Model with Expert Augmented Knowledge to Estimate the Effect of Oxygen Therapy on Mortality in the ICU
Recent advances in causal inference techniques, more specifically, in the theory of structural causal models, provide the framework for identification of causal effects from observational data in the cases where the causal graph is identifiable, i. e., the data generating mechanism can be recovered from the joint distribution.
Identifying and Analyzing Sepsis States: A Retrospective Study on Patients with Sepsis in ICUs
Sepsis accounts for more than 50% of hospital deaths, and the associated cost ranks the highest among hospital admissions in the US.
A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model
Randomized controlled trials (RCTs) are considered the gold standard for identifying causal relationships.
