From Annals of Applied Statistics and tweet by Karin Nelsson
Statisticians are increasingly posed with thought-provoking and even
paradoxical questions, challenging our qualifications for entering the statistical paradises created by Big Data. By developing measures for data quality,
this article suggests a framework to address such a question: “Which one
should I trust more: a 1% survey with 60% response rate or a self-reported
administrative dataset covering 80% of the population?”
