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Found 3 papers, 1 papers with code
Causal Analysis of the TOPCAT Trial: Spironolactone for Preserved Cardiac Function Heart Failure
We describe the results of applying causal discovery methods on the data from a multi-site clinical trial, on the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist (TOPCAT).
Data Generating Process to Evaluate Causal Discovery Techniques for Time Series Data
We propose a flexible and simple to use framework for generating time series data, which is aimed at developing, evaluating, and benchmarking time series causal discovery methods.
Unsuitability of NOTEARS for Causal Graph Discovery
Causal Discovery methods aim to identify a DAG structure that represents causal relationships from observational data.
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