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 ...

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 ...

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 ...

The Social and Health Statistics Seminar series is for faculty, research staff (e.g., biostatisticians, statisticians or data analysts), and senior doctoral students to share and get feedback on their ...