Real-world study: from real-world data to real-world evidence

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...

Modeling Real-World Data Sets

Traditionally, the performance of algorithms is evaluated using worst-case analysis. For a number of problems, this type of analysis gives overly pessimistic results: Worst-case inputs are rather artificial and do not occur in practical applications. In this lecture we review some alternative analysis approaches leading to more realistic and robust performance evaluations. Specifically, we focu...

Inferring Real-World Relationships from Spatiotemporal Data

The pervasiveness of GPS-enabled mobile devices and the popularity of location-based services have generated, for the first time, massive data that represents the movements of people in the real world at a high resolution, aka spatiotemporal data. Such collections of spatiotemporal data constitute a rich source of information for studying various social behaviors, and in particular, give a boos...

Measuring Real-World Data Availability

This paper examines how server marketing claims of high reliability (e.g., 99.999%) stack up against real world data measurements. Our goals were to: measure discretionary NFS data availability, compare data availability between standalone and clustered systems, and draw some conclusions about best practices for customers. We explain our methodology for measuring, filtering, and categorizing av...

Learning from Data Some Real World Considerations