Microsoft researchers have developed On-Policy Context Distillation (OPCD), a training method that permanently embeds ...
Real-world data (RWD) derived from electronic health records (EHRs) are often used to understand population-level relationships between patient characteristics and cancer outcomes. Machine learning ...
Improving the conduct and reporting of newer methodological approaches Causal inference, the multidisciplinary field focused ...
In the quest to unravel the underlying mechanisms of natural systems, accurately identifying causal interactions is of paramount importance. Leveraging the advancements in time-series data collection ...
Our foray into causal analysis is not yet complete. Until we define the methods of causal inference, we can't get to the deeper insights that causal analysis can provide. This article details many of ...
The majority of recent empirical papers in operations management (OM) employ observational data to investigate the causal effects of a treatment, such as program or policy adoption. However, as ...
AWS Elemental Inference enables video customers to adapt video content into vertical formats optimized for mobile and social platforms in real time. Today’s viewers consume content differently than ...
Yılmaz, Övünç; Son, Yoonseock; Shang, Guangzhi; Arslan, Hayri A. Causal inference under selection on observables in operations management research: Matching methods and synthetic controls. Journal of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results