Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Josie Plachta"'
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objectives Linking large-scale datasets is challenging due to the computational power required. This research explores using Locality-Sensitive-Hashing (LSH) as a novel blocking method to facilitate linking large administrative data. LSH uses an effi
Externí odkaz:
https://doaj.org/article/0f29537f73b649afa2b4f5303acc658d
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objective The Office for National Statistics (ONS) are developing a generalisable tool to facilitate the linkage of various datasets to its population-spine. However, a generalisable process requires that a variety of input datasets can be adaptively
Externí odkaz:
https://doaj.org/article/d991daac3ad3436aa579f9043418182d
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objective The Office for National Statistics aim is to create a platform containing a variety of datasets interlinked via data spines. The resource burden linking this many datasets is high, and so research to maximise automation is a key aim of the
Externí odkaz:
https://doaj.org/article/d483c7442be243bfb2d65e1e6cefad52
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
The quality of linkage techniques has a direct impact on the quality of statistics produced on the linked data, and as such, ensuring linkage algorithms are of the highest quality is a vital mission of the Office for National Statistics (ONS). Det
Externí odkaz:
https://doaj.org/article/efc7c52b01074e9d946459225212d455
Autor:
Josie Plachta
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Objectives The Demographic Index (DI) comprises of five linked administrative datasets, used for population estimation. Current linkage methods are not ideal to utilise the power of this asset. Using the 2021 England and Wales Census, we developed an
Externí odkaz:
https://doaj.org/article/a46e315f43b14e17aab70c318ea6a06e
Autor:
Josie Plachta, Sarah Collyer
Publikováno v:
International Journal of Population Data Science, Vol 8, Iss 2 (2023)
The Office for National Statistics has built a vast, composite dataset for population statistics by linking data from health, education, and employment sources, known as the Demographic Index (DI). It attempts to contain a record ‘cluster’ for ea
Externí odkaz:
https://doaj.org/article/4b39df59767c47ba9087cca430b1c573
Autor:
Leah Maizey, Josie Plachta, Holly Clarke, Sarah Collyer, Sarah Cummins, Gabriela De La Serna, Shelley Gammon, Ben Harries, Elizabeth Pereira, Caroline Youell
Publikováno v:
International Journal of Population Data Science, Vol 7, Iss 3 (2022)
Objectives Data linkage was conducted between the Office for National Statistics’ Covid Infection Survey (CIS), the Department of Health and Social Care’s Test and Trace (T&T) and NHS’ Personal Demographics Service (PDS) datasets. Linked data w
Externí odkaz:
https://doaj.org/article/a5513f038d794e70be993bdecae2339d
Publikováno v:
International Journal of Population Data Science, Vol 7, Iss 3 (2022)
In early 2020 there was intense media speculation that ethnicity and Covid-19 deaths were correlated. However, the existing method of adding ethnicity to death records resulted in low linkage rates for very recent deaths. We designed and implemented
Externí odkaz:
https://doaj.org/article/e6271681de284e199f60f4971d064bca
Autor:
Sarah Collyer, Josie Plachta
Publikováno v:
International Journal of Population Data Science, Vol 7, Iss 3 (2022)
Objectives The Demographic Index (DI) comprises of five linked administrative datasets, used for population estimation. Current linkage methods are not ideal to utilise the power of this asset. Using the 2021 England and Wales Census, we are developi
Externí odkaz:
https://doaj.org/article/67e3c6a73fb24bfda455d01e8383e28b
Publikováno v:
International Journal of Population Data Science, Vol 7, Iss 3 (2022)
Objectives Scalelink is an innovative probabilistic data linkage method based on correspondence analysis. Unlike the popular and widely-used Fellegi-Sunter algorithm, it does not assume linkage variable independence. It also claims to be more intuiti
Externí odkaz:
https://doaj.org/article/34090c76c6304b679521dae0b8c0b363