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 ...

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 ...

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 ...