Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Wei-Yin Loh"'
Autor:
Timothy B. Baker, Wei-Yin Loh, Thomas M. Piasecki, Daniel M. Bolt, Stevens S. Smith, Wendy S. Slutske, Karen L. Conner, Steven L. Bernstein, Michael C. Fiore
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract It is vital to determine how patient characteristics that precede COVID-19 illness relate to COVID-19 mortality. This is a retrospective cohort study of patients hospitalized with COVID-19 across 21 healthcare systems in the US. All patients
Externí odkaz:
https://doaj.org/article/0b44c5e661144b3da4cbab2d736422cc
Publikováno v:
PLOS Global Public Health, Vol 1, Iss 12, p e0000060 (2021)
Adolescents are particularly vulnerable to tobacco initiation and escalation. Identifying factors associated with adolescent tobacco susceptibility and use can guide tobacco prevention efforts. Novel machine learning (ML) approaches efficiently ident
Externí odkaz:
https://doaj.org/article/833db5c04b334b01bd05280a589971ff
Autor:
James H Stein, Asha Asthana, Stevens S Smith, Megan E Piper, Wei-Yin Loh, Michael C Fiore, Timothy B Baker
Publikováno v:
PLoS ONE, Vol 9, Iss 6, p e98278 (2014)
Weight gain after smoking cessation may increase diabetes mellitus and impaired fasting glucose (IFG) risk. This study evaluated associations between smoking cessation and continued smoking with incident diabetes and IFG three years after a quit atte
Externí odkaz:
https://doaj.org/article/b89564e488c2479cacf927dfa9d4e001
Autor:
WEI-YIN LOH1 loh@stat.wisc.edu, PEIGEN ZHOU1
Publikováno v:
Journal of Data Science. Oct2021, Vol. 19 Issue 4, p569-592. 24p.
Autor:
Wei-Yin Loh
Publikováno v:
Springer Handbook of Engineering Statistics ISBN: 9781447175025
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e28baaa34da27f8da4622df0d7a2bf8f
https://doi.org/10.1007/978-1-4471-7503-2_30
https://doi.org/10.1007/978-1-4471-7503-2_30
Publikováno v:
Sustainability, Vol 13, Iss 10329, p 10329 (2021)
Sustainability
Volume 13
Issue 18
Sustainability
Volume 13
Issue 18
Perceived organizational performance (POP) is an important factor that influences employees’ attitudes and behaviors such as retention and turnover, which in turn improve or impede organizational sustainability. The current study aims to identify i
Autor:
Peigen Zhou, Wei-Yin Loh
Publikováno v:
Emerging Topics in Statistics and Biostatistics ISBN: 9783030401047
GUIDE is a multi-purpose algorithm for classification and regression tree construction with special capabilities for identifying subgroups with differential treatment effects. It is unique among subgroup methods in having all these features: unbiased
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18a02180e0e99f15d408263599864f43
https://doi.org/10.1007/978-3-030-40105-4_6
https://doi.org/10.1007/978-3-030-40105-4_6
Publikováno v:
Statistics in Medicine. 38:545-557
Identification of subgroups with differential treatment effects in randomized trials is attracting much attention. Many methods use regression tree algorithms. This article addresses 2 important questions arising from the subgroups: how to ensure tha
Publikováno v:
WIREs Data Mining and Knowledge Discovery. 9
Autor:
Danielle E. McCarthy, Megan E. Piper, Jessica W. Cook, Wei-Yin Loh, Tanya R. Schlam, Timothy B. Baker, Nayoung Kim
Publikováno v:
Drug Alcohol Depend
Background Nonadherence to smoking cessation medication is a frequent problem. Identifying pre-quit predictors of nonadherence may help explain nonadherence and suggest tailored interventions to address it. Aims Identify and characterize subgroups of