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 ...

Climate scientists are confronting a hard truth: some of the most widely used models are struggling to keep up with the pace ...

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 ...

I recently received the following question on data science methods from an avid reader of insideAI News who hails from Taiwan. I think the topics are very relevant to many folks in our audience so I ...

Investors, voters and the White House are all celebrating a sharp slowdown in inflation, but a crucial caveat is hiding in the fine print: the government's own statisticians say the latest numbers are ...