Zobrazeno 1 - 10 of 237 pro vyhledávání: '"R. Jeske"'
2
Akademický článek
High Levels of Oxidative Stress Create a Microenvironment That Significantly Decreases the Diversity of the Microbiota in Diabetic Chronic Wounds and Promotes Biofilm Formation
Autor: Jane H. Kim, Paul R. Ruegger, Elyson Gavin Lebig, Samantha VanSchalkwyk, Daniel R. Jeske, Ansel Hsiao, James Borneman, Manuela Martins-Green
Publikováno v: Frontiers in Cellular and Infection Microbiology, Vol 10 (2020)
Diabetics chronic wounds are characterized by high levels of oxidative stress (OS) and are often colonized by biofilm-forming bacteria that severely compromise healing and can result in amputation. However, little is known about the role of skin micr
Externí odkaz: https://doaj.org/article/2990af9a51f345f6ad477c49855ec45d
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5
A Bayesian longitudinal trend analysis of count data with Gaussian processes
Autor: Samantha VanSchalkwyk, Daniel R. Jeske, Manuela Martins-Green, Jane H. Kim
Publikováno v: Biometrical Journal. 64:74-90
The context of comparing two different groups of subjects that are measured repeatedly over time is considered. Our specific focus is on highly variable count data which have a nonnegligible frequency of zeros and have time trends that are difficult
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff33df29ccfe93411e9607541baaf05a
https://doi.org/10.1002/bimj.202000298
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6
Objective Comparison of Confidence Bound Methods for Binomial Series System Reliability
Autor: Janet Myhre, Allan D. McQuarrie, Edward Schuberg, Joseph D. Warfield, Daniel R. Jeske
Publikováno v: IEEE Transactions on Reliability. 69:533-544
Obtaining lower confidence bounds on the reliability of a series system remains a problem of interest. Engineers and practitioners desire methods with good properties to obtain lower confidence bounds when only component-level binomial test data are
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fe4f282ff770671129171f3bf2a1eb16
https://doi.org/10.1109/tr.2019.2958905
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7
Sample size calculations for mixture alternatives in a control group vs. treatment group design
Autor: Weixin Yao, Daniel R. Jeske
Publikováno v: Statistics. 54:97-113
We consider a control group versus treatment group experimental design and assert that powering the design for a potential treatment effect that is represented by a pure shift of the control group ...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9d549a52db3046479131c566c5789746
https://doi.org/10.1080/02331888.2020.1715407
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8
Akademický článek
Short-Run Contexts and Imperfect Testing for Continuous Sampling Plans
Autor: Mirella Rodriguez, Daniel R. Jeske
Publikováno v: Algorithms, Vol 11, Iss 4, p 46 (2018)
Continuous sampling plans are used to ensure a high level of quality for items produced in long-run contexts. The basic idea of these plans is to alternate between 100% inspection and a reduced rate of inspection frequency. Any inspected item that is
Externí odkaz: https://doaj.org/article/06e61d931b3341bf8cdf750e356d283e
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9
Akademický článek
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10
Akademický článek
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