activity
20122017
most citedInSilicoVA: A Method to Automate Cause of Death Assignment for Verbal Autopsy

9 citations · 12 across the 4 of their papers we have counts for

collaborators

5 papers

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.AP2017

Spatio-Temporal Analysis of Surveillance Data

Jon Wakefield, Tracy Qi Dong, Vladimir N. Minin

In this chapter, we consider space-time analysis of surveillance count data. Such data are ubiquitous and a number of approaches have been proposed for their analysis. We first des…

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…

stat.OT20159 cited

InSilicoVA: A Method to Automate Cause of Death Assignment for Verbal Autopsy

Samuel J. Clark, Tyler McCormick, Zehang Li +1

Verbal autopsies (VA) are widely used to provide cause-specific mortality estimates in developing world settings where vital registration does not function well. VAs assign cause(s…

stat.ME2012

Bayesian sandwich posteriors for pseudo-true parameters

Peter Hoff, Jon Wakefield

Under model misspecification, the MLE generally converges to the pseudo-true parameter, the parameter corresponding to the distribution within the model that is closest to the dist…