Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Lucas Mentch"'
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e48020 (2024)
BackgroundRegular physical activity is associated with improved quality of life in patients with inflammatory bowel diseases (IBDs), although much of the existing research is based on self-reported data. Wearable devices provide objective data on man
Externí odkaz:
https://doaj.org/article/fde21c1187134d09b258ac859d899fe6
Autor:
Meredith L. Wallace, Lucas Mentch, Bradley J. Wheeler, Amanda L. Tapia, Marc Richards, Siyu Zhou, Lixia Yi, Susan Redline, Daniel J. Buysse
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background Machine learning tools such as random forests provide important opportunities for modeling large, complex modern data generated in medicine. Unfortunately, when it comes to understanding why machine learning models are predictive,
Externí odkaz:
https://doaj.org/article/9e524eb280074bce99ed66d442bf9cf1
Autor:
Lucas Mentch
Publikováno v:
Statistics and Public Policy, Vol 7, Iss 1, Pp 9-18 (2020)
Fatal police shootings in the United States continue to be a polarizing social and political issue. Clear disagreement between racial proportions of victims and nationwide racial demographics together with graphic video footage has created fertile gr
Externí odkaz:
https://doaj.org/article/41b5fd98bb174e0dbcb057d0b02ca983
Autor:
Richard J. McAlexander, Lucas Mentch
Publikováno v:
Research & Politics, Vol 7 (2020)
Despite the number of problems that can occur when core model assumptions are violated, nearly all quantitative political science research relies on inflexible regression models that require a linear relationship between dependent and independent var
Externí odkaz:
https://doaj.org/article/9c338c60ff2d450292c9701be83a5f20
Autor:
Meredith L. Wallace, Lucas Mentch, Bradley J. Wheeler, Amanda Tapia, Marc Richards, Siyu Zhou, Lixia Yi, Susan Redline, Daniel J. Buysse
Background. Machine learning tools such as random forests provide important opportunities for modeling large, complex modern data generated in medicine. Unfortunately, when it comes to understanding why machine learning models are predictive, applied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b078e1ce847db951767b5c2635fe5dc9
https://doi.org/10.21203/rs.3.rs-2679212/v1
https://doi.org/10.21203/rs.3.rs-2679212/v1
Autor:
Wesley M. Hochachka, Lucas Mentch, David W. Winkler, Frank A. La Sorte, Tim Coleman, Giles Hooker, Daniel Fink
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics. 69:973-989
Summary Bird species’ migratory patterns have typically been studied through individual observations and historical records. In recent years, the eBird citizen science project, which solicits observations from thousands of bird watchers around the
Publikováno v:
Electronic Journal of Statistics. 16
Autor:
Daniel J. Buysse, Martica H. Hall, Erika W. Hagen, Tim Coleman, Jessica L Graves, Paul E. Peppard, Susan Redline, Katie L. Stone, Meredith L. Wallace, Lucas Mentch
Publikováno v:
J Sleep Res
Clarifying whether physiological sleep measures predict mortality could inform risk screening; however, such investigations should account for complex and potentially non-linear relationships among health risk factors. We aimed to establish the predi
Publikováno v:
IEEE Transactions on Information Forensics and Security. 14:1963-1974
Automated biometric identification systems are inherently challenged to optimize false (non-)match rates. This can be addressed either by directly improving comparison subsystems, or indirectly by allowing only “good quality” biometric queries to
Publikováno v:
Stat. 10