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Pragmatic Clinical Trials in the Rubric of Structural Causal Models
Explanatory studies, such as randomized controlled trials, are targeted to extract the true causal effect of interventions on outcomes and are by design adjusted for covariates through randomization.
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.
Causal Discovery on the Effect of Antipsychotic Drugs on Delirium Patients in the ICU using Large EHR Dataset
To explore safety outcomes associated with APD, we aim to build a causal model for delirium in the ICU using large observational data sets connecting various covariates correlated with delirium.
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.
