Missing data present a perennial challenge in scientific research, potentially undermining the validity of conclusions if not addressed rigorously. The analysis of missing data encompasses a broad ...

In recent years, the application of estimands in clinical trials has emerged as a cornerstone for achieving clarity in the interpretation of treatment effects. An estimand is a precise definition of ...

A new review published in Artificial Intelligence and Autonomous Systems（AIAS） highlights how artificial intelligence can tackle the pervasive problem of missing traffic data in intelligent ...