Corrupted data are commonplace in edge applications. Data can get corrupted in a variety of ways. In a distributed compute setting, network congestion can cause some data to reach late, resulting in ...

Laboratory data from Electronic Health Records (EHR) are often used in prediction models where estimation bias and model performance from missingness can be mitigated using imputation methods. We ...

The Centre for Multilevel Modelling has a long-standing interest in developing methods and software to aid researchers in handling missing data. As discussed below, we have developed functionality in ...

When census-takers can’t reach anyone at a particular address or obtain information about occupants in other ways, they sometimes use a last-resort statistical technique called “imputation” to fill in ...