Assessing nonresponse bias in a business survey: proxy pattern-mixture analysis for skewed data

DOI10.1214/15-AOAS878zbMath1397.62044OpenAlexW2253932153MaRDI QIDQ262417

Katherine Jenny Thompson, Rebecca R. Andridge

Publication date: 29 March 2016

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.aoas/1453994199

zbMATH Keywords

missing datamultiple imputationbusiness surveysnonignorable missingnessnonresponse bias analysisproxy pattern-mixture modelsskewed data

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Sampling theory, sample surveys (62D05)

Uses Software

• R

Cites Work

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• Simulating bessel random variables
• On variance estimation under auxiliary value imputation in sample surveys
• Logistic regression analysis of sample survey data
• Exact simulation of Bessel diffusions
• The computer generation of bivariate binomial variables with given marginals and correlation
• Missing Data, Imputation, and the Bootstrap
• A class of pattern-mixture models for normal incomplete data
• Bayesian estimation in Kibble's bivariate gamma distribution
• On the Bessel distribution and related problems

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