Results 41 to 50 of about 1,760,812 (299)
Robust Small Area Estimation and Oversampling in the Estimation of Poverty Indicators
There has been rising interest in research on poverty mapping over the last decade, with the European Union proposing a core of statistical indicators on poverty commonly known as Laeken Indicators. They include the incidence and the intensity of poverty
Caterina Giusti +3 more
doaj +1 more source
Many countries, including South Africa, have implemented population-based household surveys to estimate HIV prevalence and the burden of HIV infection.
S. Gutreuter +4 more
semanticscholar +1 more source
Small area estimation under a measurement error bivariate Fay–Herriot model
The bivariate Fay–Herriot model is an area-level linear mixed model that can be used for estimating the domain means of two correlated target variables.
J. P. Burgard +3 more
semanticscholar +1 more source
A Method of Complex Disclosure Risk Assessment for Microdata
This article proposes a method for constructing an aggregate measure of disclosure risk: the risk that a user or an intruder can derive an individual’s confidential information from a given data set.
Andrzej Młodak
doaj +1 more source
Small area estimation with covariates perturbed for disclosure limitation
We exploit the connections between measurement error and data perturbation for disclosure limitation in the context of small area estimation. Our starting point is the model in Ybarra and Lohr (2008), where some of the covariates (all continuous) are ...
Silvia Polettini, Serena Arima
doaj +1 more source
BETA-BINOMIAL MODEL IN SMALL AREA ESTIMATION USING HIERARCHICAL LIKELIHOOD APPROACH
Small Area Estimation is a statistical method used to estimate parameters in sub-populations with small or even no sample sizes. This research aims to evaluate the Beta-Binomial model's performance for estimating small areas at the area level.
Etis Sunandi +3 more
doaj +1 more source
Outlier Robust Small Area Estimation [PDF]
SummaryRecently proposed outlier robust small area estimators can be substantially biased when outliers are drawn from a distribution that has a different mean from that of the rest of the survey data. This naturally leads one to consider an outlier robust bias correction for these estimators.
Chambers R +3 more
openaire +5 more sources
Small area estimation of proportions under area-level compositional mixed models
This paper introduces area-level compositional mixed models by applying transformations to a multivariate Fay–Herriot model. Small area estimators of the proportions of the categories of a classification variable are derived from the new model, and the ...
M. Esteban +4 more
semanticscholar +1 more source
ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman +7 more
wiley +1 more source
Mapping heterogeneity in family planning indicators in Burkina Faso, Kenya, and Nigeria, 2000–2020
Background Family planning is fundamental to women’s reproductive health and is a basic human right. Global targets such as Sustainable Development Goal 3 (specifically, Target 3.7) have been established to promote universal access to sexual and ...
GBD Local and Small Area Estimation Family Planning Collaborators
doaj +1 more source

