Multilevel regression and poststratification for small-area estimation of population health outcomes: a case study of chronic obstructive pulmonary disease prevalence …
X Zhang, JB Holt, H Lu, AG Wheaton… - American journal of …, 2014 - academic.oup.com
A variety of small-area statistical models have been developed for health surveys, but none
are sufficiently flexible to generate small-area estimates (SAEs) to meet data needs at …
are sufficiently flexible to generate small-area estimates (SAEs) to meet data needs at …
Perils and potentials of self‐selected entry to epidemiological studies and surveys
Low front‐end cost and rapid accrual make Web‐based surveys and enrolment in studies
attractive, but participants are often self‐selected with little reference to a well‐defined study …
attractive, but participants are often self‐selected with little reference to a well‐defined study …
Web-based enrollment and other types of self-selection in surveys and studies: consequences for generalizability
Web-based enrollment in surveys and studies is increasingly attractive as the Internet is
approaching near-universal coverage and the attitude of respondents toward participation in …
approaching near-universal coverage and the attitude of respondents toward participation in …
Constrained maximum likelihood estimation for model calibration using summary-level information from external big data sources
Information from various public and private data sources of extremely large sample sizes are
now increasingly available for research purposes. Statistical methods are needed for using …
now increasingly available for research purposes. Statistical methods are needed for using …
[HTML][HTML] Multivariate Fay–Herriot models for small area estimation
R Benavent, D Morales - Computational Statistics & Data Analysis, 2016 - Elsevier
Abstract Multivariate Fay–Herriot models for estimating small area indicators are introduced.
Among the available procedures for fitting linear mixed models, the residual maximum …
Among the available procedures for fitting linear mixed models, the residual maximum …
Small area estimation: Its evolution in five decades
M Ghosh - Statistics in Transition. New Series, 2020 - ceeol.com
The paper is an attempt to trace some of the early developments of small area estimation.
The basic papers such as the ones by Fay and Herriott (1979) and Battese, Harter and Fuller …
The basic papers such as the ones by Fay and Herriott (1979) and Battese, Harter and Fuller …
Mapping the prevalence of cancer risk factors at the small area level in Australia
Background Cancer is a significant health issue globally and it is well known that cancer risk
varies geographically. However in many countries there are no small area-level data on …
varies geographically. However in many countries there are no small area-level data on …
Multilevel time-series models for small area estimation at different frequencies and domain levels
HJ Boonstra, J Van Den Brakel - The Annals of Applied Statistics, 2022 - projecteuclid.org
Multilevel time-series models for small area estimation at different frequencies and domain
levels Page 1 The Annals of Applied Statistics 2022, Vol. 16, No. 4, 2314–2338 https://doi.org/10.1214/21-AOAS1592 …
levels Page 1 The Annals of Applied Statistics 2022, Vol. 16, No. 4, 2314–2338 https://doi.org/10.1214/21-AOAS1592 …
Two-stage benchmarking as applied to small area estimation
M Ghosh, RC Steorts - Test, 2013 - Springer
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 US Census …
estimation of small geographic areas, which has led to groups such as the US Census …
Small-area estimates from consumer trace data
BACKGROUND Timely, accurate, and precise demographic estimates at various levels of
geography are crucial for planning, policymaking, and analysis. In the United States, data …
geography are crucial for planning, policymaking, and analysis. In the United States, data …