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 …

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 …

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 …

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 …

Abstract Multivariate Fay–Herriot models for estimating small area indicators are introduced.
Among the available procedures for fitting linear mixed models, the residual maximum …

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 …

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 …

Data from the Dutch Labour Force Survey (LFS) are used to estimate labour status at various
aggregation levels. National estimates are produced monthly, provincial estimates quarterly …

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 …

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 …