Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Journal of Official Statistics
Volume 36 (2020): Issue 3 (September 2020)
Open Access
Proxy Pattern-Mixture Analysis for a Binary Variable Subject to Nonresponse
Rebecca R. Andridge
Rebecca R. Andridge
and
Roderick J.A. Little
Roderick J.A. Little
| Jul 24, 2020
Journal of Official Statistics
Volume 36 (2020): Issue 3 (September 2020)
Special Issue on Nonresponse
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Jul 24, 2020
Page range:
703 - 728
Received:
Aug 01, 2018
Accepted:
Oct 01, 2019
DOI:
https://doi.org/10.2478/jos-2020-0035
Keywords
Missing data
,
nonignorable nonresponse
,
nonresponse bias
,
survey data
,
bayesian methods
© 2020 Rebecca R. Andridge et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Rebecca R. Andridge
The Ohio State University College of Public Health Division of Biostatistics,
Columbus
Roderick J.A. Little
University of Michigan, Department of Biostatistics