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20172020
most citedPointless Continuous Spatial Surface Reconstruction

3 citations · 3 across the 4 of their papers we have counts for

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5 papers · 1 filter

stat.ME2024

Direct-Assisted Bayesian Unit-level Modeling for Small Area Estimation of Rare Event Prevalence

Alana McGovern, Katherine Wilson, Jon Wakefield

Small area estimation using survey data can be achieved by using either a design-based or a model-based inferential approach. Design-based direct estimators are generally preferabl…

stat.ME2020

A Probabilistic Model for Analyzing Summary Birth History Data

Katie Wilson, Jon Wakefield

BACKGROUND There is an increasing demand for high quality subnational estimates of under-five mortality. In low and middle income countries, where the burden of under-five mortalit…

stat.ME2020

Estimation of Health and Demographic Indicators with Incomplete Geographic Information

Katie Wilson, Jon Wakefield

In low and middle income countries, household surveys are a valuable source of information for a range of health and demographic indicators. Increasingly, subnational estimates are…

stat.ME2017

Estimating Under Five Mortality in Space and Time in a Developing World Context

Jon Wakefield, Geir-Arne Fuglstad, Andrea Riebler +3

Accurate estimates of the under-5 mortality rate (U5MR) in a developing world context are a key barometer of the health of a nation. This paper describes new models to analyze surv…

stat.ME20173 cited

Pointless Continuous Spatial Surface Reconstruction

Katherine Wilson, Jon Wakefield

The analysis of area-level aggregated summary data is common in many disciplines including epidemiology and the social sciences. Typically, Markov random field spatial models have…