A comprehensive overview of unit-level modeling of survey data for small area estimation under informative sampling

PA Parker, R Janicki, SH Holan - Journal of Survey Statistics and …, 2023 - academic.oup.com
Abstract Model-based small area estimation is frequently used in conjunction with survey
data to establish estimates for under-sampled or unsampled geographies. These models …

Comparison of Unit-Level Small Area Estimation Modeling Approaches for Survey Data Under Informative Sampling

PA Parker, R Janicki, SH Holan - Journal of Survey Statistics and …, 2023 - academic.oup.com
Unit-level modeling strategies offer many advantages relative to the area-level models that
are most often used in the context of small area estimation. For example, unit-level models …

Bayesian estimation methods for survey data with potential applications to health disparities research

SM Wu, BJK Stephenson - Wiley Interdisciplinary Reviews …, 2024 - Wiley Online Library
Understanding how and why certain communities bear a disproportionate burden of disease
is challenging due to the scarcity of data on these communities. Surveys provide a useful …

A Spatial Variance‐Smoothing Area Level Model for Small Area Estimation of Demographic Rates

PA Gao, J Wakefield - International Statistical Review, 2023 - Wiley Online Library
Accurate estimates of subnational health and demographic indicators are critical for
informing policy. Many countries collect relevant data using complex household surveys, but …

Bayesian modeling of spatial ordinal data from health surveys

MÁ Beltrán‐Sánchez, MA Martinez‐Beneito… - Statistics in …, 2024 - Wiley Online Library
Health surveys allow exploring health indicators that are of great value from a public health
point of view and that cannot normally be studied from regular health registries. These …

Computationally efficient Bayesian unit-level random neural network modelling of survey data under informative sampling for small area estimation

PA Parker, SH Holan - Journal of the Royal Statistical Society …, 2023 - academic.oup.com
The topic of neural networks has seen a surge of interest in recent years. However, one of
the main challenges with these approaches is quantification of uncertainty. The use of …

The Link Between Health Insurance Coverage and Citizenship Among Immigrants: Bayesian Unit-Level Regression Modeling of Categorical Survey Data Observed …

PA Parker, SH Holan, JD Bachmeier… - arXiv preprint arXiv …, 2023 - arxiv.org
Social scientists are interested in studying the impact that citizenship status has on health
insurance coverage among immigrants in the United States. This can be done using data …

Bayesian modeling of spatial ordinal data from health surveys

MÁB Sánchez, MÁM Beneito, AC Vallet - arXiv preprint arXiv:2401.09994, 2024 - arxiv.org
Health surveys allow exploring health indicators that are of great value from a public health
point of view and that cannot normally be studied from regular health registries. These …

Small area estimates for Voting Rights Act Section 203 (b) coverage determinations

E Slud, C Franco, A Hall - Calcutta Statistical Association …, 2024 - journals.sagepub.com
The Director of the US Census Bureau every five years, under the Voting Rights Act (VRA)
Section 203 (b), determines which states and political subdivisions must provide ballot …

Bayesian Unit-level Models for Longitudinal Survey Data under Informative Sampling: An Analysis of Expected Job Loss Using the Household Pulse Survey

D Vedensky, PA Parker, SH Holan - arXiv preprint arXiv:2304.07897, 2023 - arxiv.org
The Household Pulse Survey (HPS), recently released by the US Census Bureau, gathers
timely information about the societal and economic impacts of coronavirus. The first phase of …