71 citations · 152 across the 35 of their papers we have counts for
5 papers · 1 filter
A Bayesian hierarchical small-area population model accounting for data source specific methodologies from American Community Survey, Population Estimates Program, and Decennial Census data
Emily N Peterson, Rachel C Nethery, Tullia Padellini +6
Small area estimates of population are necessary for many epidemiological studies, yet their quality and accuracy are often not assessed. In the United States, small area estimates…
Statistical implications of relaxing the homogeneous mixing assumption in time series Susceptible-Infectious-Removed models
Luis D. J. Martinez Lomeli, Michelle N. Ngo, Jon Wakefield +2
Infectious disease epidemiologists routinely fit stochastic epidemic models to time series data to elucidate infectious disease dynamics, evaluate interventions, and forecast epide…
The Two Cultures of Prevalence Mapping: Small Area Estimation and Model-Based Geostatistics
Jon Wakefield, Peter A. Gao, Geir-Arne Fuglstad +1
In low- and middle-income countries (LMICs), accurate estimates of subnational health and demographic indicators are critical for guiding policy and identifying disparities. Many i…
A Statistical Introduction to Template Model Builder: A Flexible Tool for Spatial Modeling
Aaron Osgood-Zimmerman, Jon Wakefield
The integrated nested Laplace approximation (INLA) is a well-known and popular technique for spatial modeling with a user-friendly interface in the R-INLA package. Unfortunately, o…
The Central Role of the Identifying Assumption in Population Size Estimation
Serge Aleshin-Guendel, Mauricio Sadinle, Jon Wakefield
The problem of estimating the size of a population based on a subset of individuals observed across multiple data sources is often referred to as capture-recapture or multiple-syst…