5 papers
Exact variance estimation for model-assisted survey estimators using U- and V-statistics
Ameer Dharamshi, Peter Gao, Jon Wakefield
Model-assisted estimation combines sample survey data with auxiliary information to increase precision when estimating finite population quantities. Accurately estimating the varia…
Pseudo-Bayesian unit level modeling for small area estimation under informative sampling
Peter A. Gao, Jon Wakefield
When mapping subnational health and demographic indicators, direct weighted estimators of small area means based on household survey data can be unreliable when data are limited. I…
A spatial variance-smoothing area level model for small area estimation of demographic rates
Peter A. Gao, Jon Wakefield
Accurate estimates of subnational health and demographic indicators are critical for informing health policy decisions. Many countries collect relevant data using complex household…
Smoothed Model-Assisted Small Area Estimation
Peter A. Gao, Jon Wakefield
In countries where population census data are limited, generating accurate subnational estimates of health and demographic indicators is challenging. Existing model-based geostatis…
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…