A bridging model to reconcile statistics based on data from multiple surveys

DOI10.1214/20-AOAS1437zbMath1477.62311OpenAlexW3179733647MaRDI QIDQ2245184

F. Jay Breidt, Jean D. Opsomer, Andreea L. Erciulescu

Publication date: 15 November 2021

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

Full work available at URL: https://doi.org/10.1214/20-aoas1437

zbMATH Keywords

disaggregationhierarchical Bayescombining datafishing participation

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Statistical aspects of big data and data science (62R07)

Related Items (1)

Statistical data integration using multilevel models to predict employee compensation

Cites Work

• Inference from iterative simulation using multiple sequences
• Blending domain estimates from two victimization surveys with possible bias
• Combining Information From Two Surveys to Estimate County-Level Prevalence Rates of Cancer Risk Factors and Screening
• Measuring Discontinuities in Time Series Obtained with Repeated Sample Surveys

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