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09/21/2023
Pseudo-Bayesian unit level modeling for small area estimation under informative sampling
When mapping subnational health and demographic indicators, direct weigh...
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09/05/2023
Estimating Subnational Under-Five Mortality Rates Using a Spatio-Temporal Age-Period-Cohort Model
Producing subnational estimates of the under-five mortality rate (U5MR) ...
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09/01/2023
Adaptive Gaussian Markov Random Fields for Child Mortality Estimation
The under-5 mortality rate (U5MR), a critical health indicator, is typic...
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08/29/2023
Small Area Estimation with Random Forests and the LASSO
We consider random forests and LASSO methods for model-based small area ...
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06/11/2023
A Penalized Poisson Likelihood Approach to High-Dimensional Semi-Parametric Inference for Doubly-Stochastic Point Processes
Doubly-stochastic point processes model the occurrence of events over a ...
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09/21/2022
Modeling Urban/Rural Fractions in Low- and Middle-Income Countries
In low- and middle-income countries, household surveys are the most reli...
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09/06/2022
A spatial variance-smoothing area level model for small area estimation of demographic rates
Accurate estimates of subnational health and demographic indicators are ...
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08/08/2022
Incorporating testing volume into estimation of effective reproduction number dynamics
Branching process inspired models are widely used to estimate the effect...
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07/14/2022
Spatial Aggregation with Respect to a Population Distribution
Spatial aggregation with respect to a population distribution involves e...
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05/18/2022
Estimating Global and Country-Specific Excess Mortality During the COVID-19 Pandemic
Estimating the true mortality burden of COVID-19 for every country in th...
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03/23/2022
A Computationally Efficient Approach to Fully Bayesian Benchmarking
In small area estimation, it is often necessary to resort to model-based...
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01/21/2022
Smoothed Model-Assisted Small Area Estimation
In countries where population census and sample survey data are limited,...
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12/18/2021
A Bayesian hierarchical small-area population model accounting for data source specific methodologies from American Community Survey, Population Estimates Program, and Decennia
Small area estimates of population are necessary for many epidemiologica...
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12/06/2021
Statistical implications of relaxing the homogeneous mixing assumption in time series Susceptible-Infectious-Removed models
Infectious disease epidemiologists routinely fit stochastic epidemic mod...
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10/18/2021
The Two Cultures for Prevalence Mapping: Small Area Estimation and Spatial Statistics
The emerging need for subnational estimation of demographic and health i...
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03/17/2021
A Statistical Introduction to Template Model Builder: A Flexible Tool for Spatial Modeling
The integrated nested Laplace approximation (INLA) is a well-known and p...
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01/22/2021
Revisiting Identifying Assumptions for Population Size Estimation
The problem of estimating the size of a population based on a subset of ...
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11/18/2020
Estimating Seroprevalence of SARS-CoV-2 in Ohio: A Bayesian Multilevel Poststratification Approach with Multiple Diagnostic Tests
Globally the SARS-CoV-2 coronavirus has infected more than 59 million pe...
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11/13/2020
A Probabilistic Model for Analyzing Summary Birth History Data
BACKGROUND There is an increasing demand for high quality subnational ...
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10/17/2020
Estimating efficacy of measles supplementary immunization activities via discrete-time modeling of disease incidence time series
Measles is a significant source of global disease burden and child morta...
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10/07/2020
Estimating the Stillbirth Rate for 195 Countries Using A Bayesian Sparse Regression Model with Temporal Smoothing
Estimation of stillbirth rates globally is complicated because of the pa...
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09/17/2020
Estimation of Health and Demographic Indicators with Incomplete Geographic Information
In low and middle income countries, household surveys are a valuable sou...
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07/10/2020
Space-Time Smoothing of Demographic and Health Indicators using the R Package SUMMER
The increasing availability of complex survey data, and the continued ne...
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07/07/2020
Space-time smoothing models for sub-national measles routine immunization coverage estimation with complex survey data
Despite substantial advances in global measles vaccination, measles dise...
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06/18/2020
Small Area Estimation of Health Outcomes
Small area estimation (SAE) entails estimating characteristics of intere...
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05/24/2020
Bayesian Multiresolution Modeling Of Georeferenced Data
Current implementations of multiresolution methods are limited in terms ...
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04/07/2020
Modeling and presentation of vaccination coverage estimates using data from household surveys
It is becoming increasingly popular to produce high-resolution maps of v...
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03/01/2020
A flexible Bayesian framework to estimate age- and cause-specific child mortality over time from sample registration data
In order to implement disease-specific interventions in young age groups...
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01/31/2020
Harmonizing Child Mortality Data at Disparate Geographic Levels
There is an increasing focus on reducing inequalities in health outcomes...
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01/15/2020
A linear noise approximation for stochastic epidemic models fit to partially observed incidence counts
Stochastic epidemic models (SEMs) fit to incidence data are critical to ...
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10/15/2019
Design- and Model-Based Approaches to Small-Area Estimation in a Low and Middle Income Country Context: Comparisons and Recommendations
The need for rigorous and timely health and demographic summaries has pr...
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10/09/2018
Child Mortality Estimation Incorporating Summary Birth History Data
The United Nations' Sustainable Development Goal 3.2 aims to reduce unde...
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11/02/2017
Estimating Under Five Mortality in Space and Time in a Developing World Context
Accurate estimates of the under-5 mortality rate (U5MR) in a developing ...
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11/01/2017