3 citations · 3 across the 6 of their papers we have counts for
7 papers
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…
A Pseudo-likelihood Approach to Under-5 Mortality Estimation
Taylor Okonek, Katherine Wilson, Jon Wakefield
Accurate and precise estimates of the under-5 mortality rate (U5MR) are an important health summary for countries. However, full survival curves allow us to better understand the p…
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…
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…
Child Mortality Estimation Incorporating Summary Birth History Data
Katie Wilson, Jon Wakefield
The United Nations' Sustainable Development Goal 3.2 aims to reduce under-5 child mortality to 25 deaths per 1,000 live births by 2030. Child mortality tends to be concentrated in…
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…