Results 31 to 40 of about 1,984,822 (289)

Robust Small Area Estimation and Oversampling in the Estimation of Poverty Indicators

open access: yesSurvey Research Methods, 2012
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

Two-stage Benchmarking as Applied to Small Area Estimation

open access: yes, 2013
There has been recent growth in small area estimation due to the need for more precise estimation of small geographic areas, which has led to groups such as the U.S.
Ghosh, Malay, Steorts, Rebecca C.
core   +1 more source

A Method of Complex Disclosure Risk Assessment for Microdata

open access: yesJournal of Probability and Statistics
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

open access: yesStatistica, 2015
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

open access: yesMedia Statistika, 2023
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

Nutritional and Behavioral Intervention for Long‐Term Childhood Acute Leukemia Survivors With Metabolic Syndrome

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine   +10 more
wiley   +1 more source

Mapping heterogeneity in family planning indicators in Burkina Faso, Kenya, and Nigeria, 2000–2020

open access: yesBMC Medicine
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

Stereotactic Body Radiation Therapy for Pediatric, Adolescent, and Young Adult Patients With Osteosarcoma: Local Control Outcomes With Dosimetric Analysis

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis   +13 more
wiley   +1 more source

Multi-outcome longitudinal small area estimation – a case study

open access: yesStatistical Theory and Related Fields, 2019
A recent paper [Thibaudeau, Slud, and Gottschalck (2017). Modeling log-linear conditional probabilities for estimation in surveys. The Annals of Applied Statistics, 11, 680–697] proposed a ‘hybrid’ method of survey estimation combining coarsely cross ...
Eric Slud, Yves Thibaudeau
doaj   +1 more source

Small Area Estimation Using a Spatio-Temporal Linear Mixed Model

open access: yesRevstat Statistical Journal, 2012
In this paper it is proposed a spatio-temporal area level linear mixed model involving spatially correlated and temporally autocorrelated random effects.
Luís N. Pereira , Pedro S. Coelho
doaj   +1 more source

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