About The Study: Adoption of the proposed framework to identify when causal interpretation is appropriate in observational studies promises to facilitate better communication between authors, ...
One of the most popular applications of artificial intelligence to date has been to use it to predict things, using algorithms trained with historical data to determine a future outcome. But ...
In the article that accompanies this editorial, Lu et al 5 conducted a systematic review on the use of instrumental variable (IV) methods in oncology comparative effectiveness research. The main ...
Causal machine learning with Microsoft's next-best-question model could replace AB testing to help you make better business decisions. Image: ZinetroN/Adobe Stock AI that analyzes data to help you ...
The rapid spread of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) caused the coronavirus disease 2019 (COVID-19) pandemic. Several pharmaceutical and non-pharmaceutical measures have ...
Hypertension is among the leading cardiovascular diseases. Despite extensive research, evidence concerning the relationship between long-term exposure to ambient particulate matter and hypertension ...
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