When Data Is Missing, Scientists Guess. Then Guess Again.

Data is almost always incomplete. Patients drop out of clinical trials and survey respondents skip questions; schools fail to report scores, and governments ignore elements of their economies. When data goes missing, standard statistical tools, like taking averages, are no longer useful. “We cannot calculate with missing data, just as we can’t divide by zero,” said Stef van Buuren…

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