Multiple Imputation
University of Alabama at Birmingham · Johns Hopkins University
Abstract
In this issue of JAMA, Asch et al1 report results of a cluster-randomized clinical trial designed to evaluate the effects of physician financial incentives, patient incentives, or shared physician and patient incentives on low density lipoprotein cholesterol (LDL-C) levels among patients with high cardiovascular risk. Because 1 or more follow-up LDL-C measurements were missing for approximately 7% of participants, Asch et al used multiple imputation (MI) to analyze their data and concluded that shared financial incentives for physicians and patients, but not incentives to physicians or patients alone, resulted in the patients having lower LDL-C levels. Imputation is the process of replacing missing data with 1…
Citation impact
- FWCI
- 92.14
- Percentile
- 100%
- References
- 9
Authors
3Topics & keywords
- Medicine
- Imputation (statistics)
- Statistics
- Missing data
- Reduced inequalities