Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Malseed, Reid"'
In the field of population health research, understanding the similarities between geographical areas and quantifying their shared effects on health outcomes is crucial. In this paper, we synthesise a number of existing methods to create a new approa
Externí odkaz:
http://arxiv.org/abs/2311.12349
Autor:
Areed, Wala Draidi, Price, Aiden, Thompson, Helen, Hassan, Conor, Malseed, Reid, Mengersen, Kerrie
Spatial statistical models are commonly used in geographical scenarios to ensure spatial variation is captured effectively. However, spatial models and cluster algorithms can be complicated and expensive. This paper pursues three main objectives. Fir
Externí odkaz:
http://arxiv.org/abs/2311.12347
Autor:
Areed, wala Draidi, Price, Aiden, Arnett, Kathryn, Thompson, Helen, Malseed, Reid, Mengersen, Kerrie
The research explores the influence of preschool attendance (one year before full-time school) on the development of children during their first year of school. Using data collected by the Australian Early Development Census, the findings show that a
Externí odkaz:
http://arxiv.org/abs/2305.15746
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Areed WD; School of Mathematical Science, Center for Data Science, Queensland University of Technology, Queensland, Australia., Price A; School of Mathematical Science, Center for Data Science, Queensland University of Technology, Queensland, Australia., Arnett K; Children's Health Queensland, Queensland, Australia., Thompson H; School of Mathematical Science, Center for Data Science, Queensland University of Technology, Queensland, Australia., Malseed R; Children's Health Queensland, Queensland, Australia., Mengersen K; School of Mathematical Science, Center for Data Science, Queensland University of Technology, Queensland, Australia.
Publikováno v:
PloS one [PLoS One] 2023 Aug 09; Vol. 18 (8), pp. e0285409. Date of Electronic Publication: 2023 Aug 09 (Print Publication: 2023).
