Somewhere in your last analysis, there might be two predictors that are almost the same variable, and the collinearity check you ran to catch it told you everything was fine. It wasn’t lying. The calculation was right. The scale it reports on is the problem. Here’s how Harshit Singh and Simoni Pant found out.
predictors
Equity and Bias in Algorithms: A Discussion of the Landscape and Techniques for Practitioners
Algorithmic bias can occur as a result of decisions made throughout the algorithm development and deployment process. Left unaddressed, it can deeply affect equity. Emily Hadley looks at techniques to consider when developing algorithms.
Surveys, Dashboards, and Innovations in Response to COVID-19
ASA members share their experiences and offer insights into how COVID-19 has changed and will continue to change statistics and data science.