Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Josep Anton Sánchez"'
Publikováno v:
Gaceta Sanitaria, Vol 32, Iss 4, Pp 369-372 (2018)
Objective: To measure time trends in major day surgery rates according to hospital ownership and other hospital characteristics among the providers of the public healthcare network of Catalonia, Spain. Method: Data from the Statistics of Health Estab
Externí odkaz:
https://doaj.org/article/e61db01d88db40a5adad02d1acb0a8f8
Autor:
Eduard, Escrich, Raquel, Moral, Gemma, García, Irmgard, Costa, Josep Anton, Sánchez, Montserrat, Solanas
Publikováno v:
Molecular carcinogenesis. 40(2)
In previous studies, we demonstrated that high corn oil diets promote the development of 7,12-dimethylbenz(alpha)anthracene (DMBA)-induced mammary tumors. In this study, we have investigated whether modulation of gene expression is one of the mechani
Publikováno v:
Journal of the Marine Biological Association of the United Kingdom; Nov2019, Vol. 99 Issue 7, p1579-1589, 11p
Autor:
Álvarez Berezo, Sergio
Publikováno v:
Dipòsit Digital de la UB
Universidad de Barcelona
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Universidad de Barcelona
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Treballs Finals de Grau en Estadística UB-UPC, Facultat d'Economia i Empresa (UB) i Facultat de Matemàtiques i Estadística (UPC), Curs: 2017-2018, Tutor: Josep Anton Sánchez Espigares
(cat) L'objectiu principal d'aquest treball consisteix a
(cat) L'objectiu principal d'aquest treball consisteix a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3c9d7287743666d734ad671c3f3fa7cd
https://hdl.handle.net/2117/123958
https://hdl.handle.net/2117/123958
Autor:
Mónica Bécue-Bertaut
Textual Statistics with R comprehensively covers the main multidimensional methods in textual statistics supported by a specially-written package in R. Methods discussed include correspondence analysis, clustering, and multiple factor analysis for co