Missing data present a perennial challenge in scientific research, potentially undermining the validity of conclusions if not addressed rigorously. The analysis of missing data encompasses a broad ...

This is a preview. Log in through your library . Abstract Multiple imputation is popular for handling item nonresponse in survey sampling. Current multiple imputation techniques with complex survey ...

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 ...

Evaluating and tracking patients’ functional status through the post-acute care continuum requires a common instrument. However, different post-acute service providers such as nursing homes, inpatient ...