63 citations · 158 across the 20 of their papers we have counts for
22 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…
Smoothing for age-period-cohort models: a comparison between splines and random process
Connor Gascoigne, Theresa Smith, Andrea Riebler
Age-Period-Cohort (APC) models are well used in the context of modelling health and demographic data to produce smooth estimates of each time trend. When smoothing in the context o…
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…