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 ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 69, No. 3 (2020), pp. 547-564 (18 pages) We introduce a selection model-based multilevel imputation approach to be used ...

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 ...

While electronic health records present a rich and promising data source for observational research, they are highly susceptible to missing data. For settings like these, Seaman et al. (Biometrics 68 ...