Correcting for misclassification under edit restrictions in combined survey-register data using Multiple Imputation Latent Class modelling (MILC)

L. Boeschoten

Research output: Contribution to conferencePaperOther research output

Conference

ConferenceUN/ECE Work Session on Statistical Data Editing 2017: New perspectives for data editing in the context of new data sources and data integration. New and emerging methods
Period24/04/17 → …

Cite this

Boeschoten, L. (2017). Correcting for misclassification under edit restrictions in combined survey-register data using Multiple Imputation Latent Class modelling (MILC). Paper presented at UN/ECE Work Session on Statistical Data Editing 2017: New perspectives for data editing in the context of new data sources and data integration. New and emerging methods , .