Missing data imputation is a critical process in data analysis, enabling researchers to infer plausible values for absent observations. Over recent decades, a variety of methods have emerged, ranging ...

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 ...

In longitudinal clinical trials, missing data is a threat to scientific integrity. Whether due to patient dropouts, missed visits, or protocol deviations, these gaps can distort results, reduce ...

Resonate, the leading provider of predictive consumer intelligence, today announced that its data science team has been recognized with multiple prestigious awards and speaking invitations at some of ...

US CPI data relied on 36% estimates in August, sparking concerns over inflation accuracy and Federal Reserve policy.

NEW YORK (Reuters) -U.S. bond firm DoubleLine said on Wednesday it is using a variety of official and private data sources to assess the health of the U.S. economy, as it is worried about a decline in ...