Space-time smoothing models for subnational measles routine immunization coverage estimation with complex survey data

DOI10.1214/21-AOAS1474zbMath1498.62209arXiv2007.03732OpenAlexW3041077946MaRDI QIDQ2078315

Jon Wakefield, Tracy Qi Dong

Publication date: 28 February 2022

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

Full work available at URL: https://arxiv.org/abs/2007.03732

zbMATH Keywords

survey samplingBayesian smoothingmeasles vaccinationroutine immunizationsupplementary immunization activity

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Sampling theory, sample surveys (62D05)

Uses Software

• Survey
• Unnamed Item

Cites Work

• Space-time smoothing of complex survey data: small area estimation for child mortality
• Bayesian image restoration, with two applications in spatial statistics (with discussion)
• Penalising model component complexity: a principled, practical approach to constructing priors
• A weighted composite likelihood approach for analysis of survey data under two-level models
• Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
• On the Variances of Asymptotically Normal Estimators from Complex Surveys
• Weighting for Unequal Selection Probabilities in Multilevel Models
• A Generalization of Sampling Without Replacement From a Finite Universe

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