MOESM1 of Multiple imputation using linked proxy outcome data resulted in important bias reduction and efficiency gains: a simulation study (2017)

First Author: R. Cornish

Attributed to: Using linked health and administrative data to reduce bias due to missing data and measurement error in observational research funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.6084/m9.figshare.5721187

Publication URI: https://springernature.figshare.com/articles/MOESM1_of_Multiple_imputation_using_linked_proxy_outcome_data_resulted_in_important_bias_reduction_and_efficiency_gains_a_simulation_study/5721187

Type: Other