Zobrazeno 1 - 10
of 230
pro vyhledávání: '"Eric B. Laber"'
Autor:
Eric J. Cooks, Kyle A. Duke, Jordan M. Neil, Melissa J. Vilaro, Danyell Wilson-Howard, Francois Modave, Thomas J. George, Folakemi T. Odedina, Benjamin C. Lok, Peter Carek, Eric B. Laber, Marie Davidian, Janice L. Krieger
Publikováno v:
Journal of Clinical and Translational Science, Vol 6 (2022)
Abstract Introduction: Racial disparities in colorectal cancer (CRC) can be addressed through increased adherence to screening guidelines. In real-life encounters, patients may be more willing to follow screening recommendations delivered by a race
Externí odkaz:
https://doaj.org/article/a34bc92adab842e6b6993c015565b512
Autor:
Melissa L. Erickson, Jacob M. Allen, Daniel P. Beavers, Linda M. Collins, Karina W. Davidson, Kirk I. Erickson, Karyn A. Esser, Matthijs K. C. Hesselink, Kerrie L. Moreau, Eric B. Laber, Charlotte A. Peterson, Courtney M. Peterson, Jane E. Reusch, John P. Thyfault, Shawn D. Youngstedt, Juleen R. Zierath, Bret H. Goodpaster, Nathan K. LeBrasseur, Thomas W. Buford, Lauren M. Sparks
Publikováno v:
Geroscience, 45(1), 569-589. Springer International Publishing
Abstract Exercise is a cornerstone of preventive medicine and a promising strategy to intervene on the biology of aging. Variation in the response to exercise is a widely accepted concept that dates back to the 1980s with classic genetic studies iden
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55a8609fbf5749e6506c3856ab17e5d4
https://doi.org/10.1007/s11357-022-00668-3
https://doi.org/10.1007/s11357-022-00668-3
Autor:
Yanhong Li, Shelby D. Reed, Joseph G. Winger, Kelly A. Hyland, Hannah M. Fisher, Sarah A. Kelleher, Shannon N. Miller, Marie Davidian, Eric B. Laber, Francis J. Keefe, Tamara J. Somers
Publikováno v:
The Journal of Pain.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::966f1e26af5cab0a17700ebbf48d1c91
https://doi.org/10.1016/j.jpain.2023.05.004
https://doi.org/10.1016/j.jpain.2023.05.004
Publikováno v:
Clinical Therapeutics. 44:139-154
Reinforcement learning (RL) is the subfield of machine learning focused on optimal sequential decision making under uncertainty. An optimal RL strategy maximizes cumulative utility by experimenting only if and when the information generated by experi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df1cb83e3ebb2c845d7af551b58c6c42
https://doi.org/10.1016/j.clinthera.2021.11.002
https://doi.org/10.1016/j.clinthera.2021.11.002
Publikováno v:
Journal of Cardiac Failure.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b00f5f53b648ce948f195c811afb702f
https://doi.org/10.1016/j.cardfail.2022.11.009
https://doi.org/10.1016/j.cardfail.2022.11.009
Publikováno v:
Journal of the American Statistical Association. :1-12
Uncontrolled glycated hemoglobin (HbA1c) levels are associated with adverse events among complex diabetic patients. These adverse events present serious health risks to affected patients and are as...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a8fdd8e1dddc3fb67de58aff6fb0401
https://doi.org/10.1080/01621459.2021.1978467
https://doi.org/10.1080/01621459.2021.1978467
Publikováno v:
Journal of Statistical Software, Vol 64, Iss 1, Pp 1-25 (2015)
Chronic illness treatment strategies must adapt to the evolving health status of the patient receiving treatment. Data-driven dynamic treatment regimes can offer guidance for clinicians and intervention scientists on how to treat patients over time i
Externí odkaz:
https://doaj.org/article/f70656754c074d2c843a77f34768ef8f
Publikováno v:
Statistics in Medicine. 39:3503-3520
Dynamic treatment regimes operationalize precision medicine as a sequence of decision rules, one per stage of clinical intervention, that map up-to-date patient information to a recommended intervention. An optimal treatment regime maximizes the mean
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae37771aeeff39bf7f11a61dd7de2bd6
https://doi.org/10.1002/sim.8678
https://doi.org/10.1002/sim.8678
Autor:
Seth A. Faith, Neal S. Grantham, Brian J. Reich, Julia S. Allwood, Krishna Pacifici, Noah Fierer, Eric B. Laber, Matthew J. Gebert, Robert R. Dunn
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics. 69:909-929
Summary An important problem in modern forensic analyses is identifying the provenance of materials at a crime scene, such as biological material on a piece of clothing. This procedure, which is known as geolocation, is conventionally guided by exper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afe9147c1472e5f081089f121a7a6468
https://doi.org/10.1111/rssc.12427
https://doi.org/10.1111/rssc.12427
Autor:
Eric B. Laber, Jesse Clifton
Publikováno v:
Annual Review of Statistics and Its Application. 7:279-301
Q-learning, originally an incremental algorithm for estimating an optimal decision strategy in an infinite-horizon decision problem, now refers to a general class of reinforcement learning methods widely used in statistics and artificial intelligence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::535f6584fb9b57cc1f78d91262f3467f
https://doi.org/10.1146/annurev-statistics-031219-041220
https://doi.org/10.1146/annurev-statistics-031219-041220