Examining small area estimation techniques for public health intervention: Lessons from application to under-5 mortality data in Uganda

2010 ◽  
Vol 32 (1) ◽  
pp. 1-15 ◽  
Author(s):  
John B Asiimwe ◽  
Peter Jehopio ◽  
Leonard K Atuhaire ◽  
Anthony K Mbonye
Keyword(s):  
Public Health ◽  
Small Area ◽  
Small Area Estimation ◽  
Public Health Intervention ◽  
Health Intervention ◽  
Mortality Data ◽  
Estimation Techniques ◽  
Area Estimation

scholarly journals Enhancing the precision of broad-scale forestland removals estimates with small area estimation techniques

2021 ◽  
Author(s):  
John W Coulston ◽  
P Corey Green ◽  
Philip J Radtke ◽  
Stephen P Prisley ◽  
Evan B Brooks ◽  
...  
Keyword(s):  
Small Area ◽  
Small Area Estimation ◽  
Species Group ◽  
Tree Cover ◽  
Estimation Techniques ◽  
Spatial And Temporal Scales ◽  
Area Estimation ◽  
Forest Inventories ◽  
Southeastern Us ◽  
Increasing Demand

Abstract National Forest Inventories (NFI) are designed to produce unbiased estimates of forest parameters at a variety of scales. These parameters include means and totals of current forest area and volume, as well as components of change such as means and totals of growth and harvest removals. Over the last several decades, there has been a steadily increasing demand for estimates for smaller geographic areas and/or for finer temporal resolutions. However, the current sampling intensities of many NFI and the reliance on design-based estimators often leads to inadequate precision of estimates at these scales. This research focuses on improving the precision of forest removal estimates both in terms of spatial and temporal resolution through the use of small area estimation techniques (SAE). In this application, a Landsat-derived tree cover loss product and the information from mill surveys were used as auxiliary data for area-level SAE. Results from the southeastern US suggest improvements in precision can be realized when using NFI data to make estimates at relatively fine spatial and temporal scales. Specifically, the estimated precision of removal volume estimates by species group and size class was improved when SAE methods were employed over post-stratified, design-based estimates alone. The findings of this research have broad implications for NFI analysts or users interested in providing estimates with increased precision at finer scales than those generally supported by post-stratified estimators.

Estimating unmet need for contraception by district within Ghana: An application of small-area estimation techniques

2012 ◽  
Vol 66 (2) ◽  
pp. 105-122 ◽  
Author(s):  
Fiifi Amoako Johnson ◽  
Sabu S. Padmadas ◽  
Hukum Chandra ◽  
Zoe Matthews ◽  
Nyovani J. Madise
Keyword(s):  
Small Area ◽  
Small Area Estimation ◽  
Unmet Need ◽  
Estimation Techniques ◽  
Area Estimation ◽  
Unmet Need For Contraception

scholarly journals Improving estimates of district HIV prevalence and burden in South Africa using small area estimation techniques

PLoS ONE ◽  
2019 ◽  
Vol 14 (2) ◽  
pp. e0212445 ◽  
Author(s):  
Steve Gutreuter ◽  
Ehimario Igumbor ◽  
Njeri Wabiri ◽  
Mitesh Desai ◽  
Lizette Durand
Keyword(s):  
South Africa ◽  
Small Area ◽  
Small Area Estimation ◽  
Hiv Prevalence ◽  
Estimation Techniques ◽  
Area Estimation
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