Statistics can lie but can also correct for lies: reducing response bias in NLAAS via Bayesian imputation

DOI10.4310/SII.2013.V6.N3.A9zbMath1327.62023MaRDI QIDQ897212

Jingchen Liu, Margarita Alegria, Chih-Nan Chen, Xiao-Li Meng

Publication date: 17 December 2015

Published in: Statistics and Its Interface (Search for Journal in Brave)

zbMATH Keywords

probit modelmultiple imputationmental healthcontinuation ratio modelchecking imputation qualityquestion ordering

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (1)

Statistical paradises and paradoxes in big data. I: Law of large populations, big data paradox, and the 2016 US presidential election

Uses Software

• BayesDA

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