A hot deck imputation procedure for multiply imputing nonignorable missing data: the proxy pattern-mixture hot deck

DOI10.1016/J.CSDA.2014.09.008OpenAlexW2032627149MaRDI QIDQ1623754

Danielle Sullivan, Rebecca R. Andridge

Publication date: 23 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1387301284

zbMATH Keywords

sensitivity analysisnonignorable missingnesshot deckdonor selection

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Sampling theory, sample surveys (62D05)

Related Items (2)

Imputing missing values in unevenly spaced clinical time series data to build an effective temporal classification framework ⋮ Recent Developments in Dealing with Item Non‐response in Surveys: A Critical Review

Cites Work

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• On Variance Estimation With Imputed Survey Data
• On the Bias of the Multiple-Imputation Variance Estimator in Survey Sampling
• Jackknife variance estimation with survey data under hot deck imputation
• A class of pattern-mixture models for normal incomplete data
• Bootstrap for Imputed Survey Data
• Pattern-Mixture Models for Multivariate Incomplete Data

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