Estimating Classification Errors Under Edit Restrictions in Composite Survey-Register Data Using Multiple Imputation Latent Class Modelling (MILC)
By: Laura Boeschoten, Daniel Oberski and Ton de Waal
Authors
Laura Boeschoten
l.boeschoten@tilburguniversity.edu
Tilburg University, Tilburg School of Social and Behavioral Sciences – Methodology and Statistics, Centraal Bureau voor de Statistiek – Process development and methodology, Tilburg
Daniel Oberski
Universiteit Utrecht, Social and Behavioural Sciences, Utrecht, Tilburg University, Tilburg School of Social and Behavioral Sciences – Methodology and Statistics, Utrecht
Ton de Waal
Centraal Bureau voor de Statistiek – Process development and methodology Den Haag, Tilburg University, Tilburg School of Social and Behavioral Sciences – Methodology and Statistics, Tilburg
DOI: https://doi.org/10.1515/jos-2017-0044 | Journal eISSN: 2001-7367
Language: English
Page range: 921 - 962
Submitted on: Jul 1, 2016
Accepted on: May 1, 2017
Published online: Nov 18, 2017
Published in print: Dec 1, 2017
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Related subjects:
© 2017 Laura Boeschoten, Daniel Oberski, Ton de Waal, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.