4 citations · 6 across the 9 of their papers we have counts for
9 papers
A joint model for DHS and MICS surveys: Spatial modeling with anonymized locations
John Paige, Geir-Arne Fuglstad, Andrea Riebler
Anonymizing the GPS locations of observations can bias a spatial model's parameter estimates and attenuate spatial predictions when improperly accounted for, and is relevant in app…
Estimating Subnational Under-Five Mortality Rates Using a Spatio-Temporal Age-Period-Cohort Model
Connor Gascoigne, Theresa Smith, John Paige +1
Producing subnational estimates of the under-five mortality rate (U5MR) is a vital goal for the United Nations to reduce inequalities in mortality and well-being across the globe.…
GeoAdjust: Adjusting for Positional Uncertainty in Geostatistial Analysis of DHS Data
Umut Altay, John Paige, Andrea Riebler +1
The R-package GeoAdjust https://github.com/umut-altay/GeoAdjust-package implements fast empirical Bayesian geostatistical inference for household survey data from the Demographic a…
Impact of Jittering on Raster- and Distance-based Geostatistical Analyses of DHS Data
Umut Altay, John Paige, Andrea Riebler +1
Fine-scale covariate rasters are routinely used in geostatistical models for mapping demographic and health indicators based on household surveys from the Demographic and Health Su…
Spatial Aggregation with Respect to a Population Distribution
John Paige, Geir-Arne Fuglstad, Andrea Riebler +1
Spatial aggregation with respect to a population distribution involves estimating aggregate quantities for a population based on an observation of individuals in a subpopulation. I…
Fast geostatistical inference under positional uncertainty: Analysing DHS household survey data
Umut Altay, John Paige, Andrea Riebler +1
Household survey data from the Demographic and Health Surveys (DHS) Program is published with GPS coordinates. However, almost all geostatistical analyses of such data ignore that…
Space-Time Smoothing of Survey Outcomes using the R Package SUMMER
Zehang Richard Li, Bryan D Martin, Tracy Qi Dong +5
The increasing availability of complex survey data, and the continued need for estimates of demographic and health indicators at a fine spatial and temporal scale, which leads to i…
Bayesian Multiresolution Modeling Of Georeferenced Data
John Paige, Geir-Arne Fuglstad, Andrea Riebler +1
Current implementations of multiresolution methods are limited in terms of possible types of responses and approaches to inference. We provide a multiresolution approach for spatia…
Design- and Model-Based Approaches to Small-Area Estimation in a Low and Middle Income Country Context: Comparisons and Recommendations
John Paige, Geir-Arne Fuglstad, Andrea Riebler +1
The need for rigorous and timely health and demographic summaries has provided the impetus for an explosion in geographic studies, with a common approach being the production of pi…