Real-World Usefulness Is Missing

Missing data analysis: making it work in the real world.

This review presents a practical summary of the missing data literature, including a sketch of missing data theory and descriptions of normal-model multiple imputation (MI) and maximum likelihood methods. Practical missing data analysis issues are discussed, most notably the inclusion of auxiliary variables for improving power and reducing bias. Solutions are given for missing data challenges s...

SDL for Real-Time: What is Missing?

Smog, Cognition and Real-World Decision-Making

Cognitive functioning is critical as in our daily life a host of real-world complex decisions in high-stakes markets have to be made. The decision-making process can be vulnerable to environmental stressors. Summarizing the growing economic and epidemiologic evidence linking air pollution, cognition performance and real-world decision-making, we first illustrate key physiological and psychologi...

The Real World: What Good Is It?

stepdad got a job in Ohio, so she had to move there. So she was in Ohio and she invited me up for a weekend. And I’ve always Any experimental science runs the risk of implosion. had so much fun when I’d go up there for a weekend. But, it The tasks that were created as surrogates for compliwas like my cousin’s graduation party was then, too—like on cated real-world situations can take on lives o...

Why Real-World Planning is Difficult

While work on AI planning systems dates back to the early 70’s, applications of AI planning systems are few and far between. This paper describes several major obstacles to the fielding of planning systems related to: plan representation and usage, operational contexts of planning systems, and knowledge acquisition and maintenance for planning knowledge. We use examples drawn from our experienc...