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of 136
pro vyhledávání: '"Henry Husband"'
Publikováno v:
Injury. 52:S3-S6
Introduction Typically, a healthcare intervention is evaluated by comparing data before and after its implementation using statistical tests. Comparing group means can miss underlying trends and lead to erroneous conclusions. Segmented linear regress
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f2a4a7127a97c4c2644971d2cf510ee
https://doi.org/10.1016/j.injury.2020.03.056
https://doi.org/10.1016/j.injury.2020.03.056
Publikováno v:
Computational and Mathematical Methods in Medicine, Vol 2019 (2019)
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine
Introduction. In retrospective studies, the effect of a given intervention is usually evaluated by using statistical tests to compare data from before and after the intervention. A problem with this approach is that the presence of underlying trends
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b84ee948048ec78e364909c83c70ba0
https://doi.org/10.1155/2019/9810675
https://doi.org/10.1155/2019/9810675
Publikováno v:
Computational and Mathematical Methods in Medicine, Vol 2019 (2019)
Computational and Mathematical Methods in Medicine
Computational and Mathematical Methods in Medicine
Funder: SPRINT; doi: http://dx.doi.org/10.13039/100004730
Introduction. In healthcare, change is usually detected by statistical techniques comparing outcomes before and after an intervention. A common problem faced by researchers is distinguish
Introduction. In healthcare, change is usually detected by statistical techniques comparing outcomes before and after an intervention. A common problem faced by researchers is distinguish
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a62fa35d4901c443ba9539b4b29d1a06
Autor:
Thomas Edward Glover, Rajna Golubic, Epaminondas Markos Valsamis, Adnan Hussain, Amir-Reza Jenabzadeh, Henry Husband
Publikováno v:
Journal of surgical education. 75(1)
Objective Methods that model surgical learning curves are frequently descriptive and lack the mathematical rigor required to extract robust, meaningful, and quantitative information. We aimed to formulate a method to model learning that is tailored t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d91c70c04e55c90d7be089d21f72cd2
https://pubmed.ncbi.nlm.nih.gov/28673804
https://pubmed.ncbi.nlm.nih.gov/28673804
Autor:
Cosson, Barbara1 (AUTHOR) bcosson@swin.edu.au, Gilding, Michael2 (AUTHOR)
Publikováno v:
Family Business Review. Dec2021, Vol. 34 Issue 4, p385-403. 19p.
Autor:
Valsamis, Epaminondas Markos1, Ricketts, David1, Husband, Henry2, Rogers, Benedict Aristotle1
Publikováno v:
Computational & Mathematical Methods in Medicine. 1/22/2019, p1-9. 9p.
Publikováno v:
TIME Magazine. 11/19/1923, Vol. 2 Issue 12, p16-16. 1/9p.
Autor:
Brandi, Giuseppe, Di Matteo, T.
Publikováno v:
European Journal of Finance; Sep/Oct2022, Vol. 28 Issue 13-15, p1361-1382, 22p
Publikováno v:
Journal of Psychiatric & Mental Health Nursing (John Wiley & Sons, Inc.); Dec2020, Vol. 27 Issue 6, p728-741, 14p