Decide with the data: How missing data biases data-driven decisions

from blog This is important, | ↗ original
This is the second post in a series about how missing data biases data-driven decisions. Start at the beginning: What’s missing? Reduce bias by addressing data gaps in your analysis process. Any decision based solely on the results of data analysis is missing data—the non-quantitative kind. But data can also go missing from data-driven decisions...