Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Orla A. Murphy"'
Publikováno v:
ACS Omega. 8:17407-17430
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae9823cb4a214a0a561d492f3236fa2f
https://doi.org/10.1021/acsomega.2c08155
https://doi.org/10.1021/acsomega.2c08155
Autor:
Orla, Torrallardona-Murphy, Juan M, Pericàs, Neus, Rabaneda-Lombarte, Marta, Cubedo, David, Cucchiari, Júlia, Calvo, Júlia, Serralabós, Elisenda, Alvés, Aleix, Agelet, Judit, Hidalgo, Eduarda, Alves, Laura, García, Marta, Sala, Irene, Pereta, Eva, Castells, Adolfo, Suárez, Anna, Carbonell, Nuria, Seijas, Faust, Feu, Antonio, Alcaraz, Carme, Hernández, Emmanuel, Coloma, David, Nicolás, Eva, Martinez
Publikováno v:
Annals of Internal Medicine
Background: Since the first wave of COVID-19, alternatives to conventional hospitalization have been proposed for the provision of different levels of care, ranging from shelter during quarantine to hospital-level medical care. Objective: To describe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e490cdce879c041375d82d4c98e0ffc2
https://doi.org/10.7326/m21-1873
https://doi.org/10.7326/m21-1873
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics. 68:831-858
Summary A simple strategy is proposed to model total accumulation in non-overlapping clusters of extreme values from a stationary series of daily precipitation. Assuming that each cluster contains at least one value above a high threshold, the cluste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3be99c7b561419735eff490294a3baf1
https://doi.org/10.1111/rssc.12342
https://doi.org/10.1111/rssc.12342
Publikováno v:
Biometrika. 106:47-68
SUMMARY Statistics are proposed for testing the hypothesis that arbitrary random variables are mutually independent. The tests are consistent and well behaved for any marginal distributions; they can be used, for example, for contingency tables which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cba5e1a61a5354ba90781eb8b63c629
https://doi.org/10.1093/biomet/asy059
https://doi.org/10.1093/biomet/asy059
Autor:
Orla Torrallardona-Murphy, Juan M. Pericàs, Neus Rabaneda-Lombarte, Marta Cubedo, David Cucchiari, Jùlia Calvo, Jùlia Serralabos, Elisenda Alvés, Aleix Agelet, Judit Hidalgo, Eduarda Alves, Laura García, Irene Pereta, Eva Castells, Adolfo Suárez, Anna Carbonell, Nuria Seijas, Faust Feu, Antonio Alcaraz, Carme Hernández, Emmanuel Coloma, David Nicolás
Publikováno v:
SSRN Electronic Journal.
Background: COVID-19 entails large overloads of hospitals’ capacity. Alternatives to conventional hospitalization are key to optimize health systems resilience during outbreaks of the pandemic. Methods: From March 25th to May 25th 2020 the Hospital
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c837061f2c7cb25e3cedf284735328d7
https://doi.org/10.2139/ssrn.3793542
https://doi.org/10.2139/ssrn.3793542
Publikováno v:
European Journal of Clinical Investigation
COVID‐19 has created the necessity to rapidly generate evidence to enlighten many blind spots encompassing the pandemic, from pathophysiology to management. Scientific journals have timely responded to this challenge by prioritizing COVID‐19 rese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc0635bad877a883361860496f8b854b
Publikováno v:
European Journal of Internal Medicine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29ff78dae2da74110e066a8a18d9710a
https://pubmed.ncbi.nlm.nih.gov/32665174
https://pubmed.ncbi.nlm.nih.gov/32665174
Autor:
Erica E. M. Moodie, Maxime Turgeon, Orla A. Murphy, Yishu Wang, ZhuoYu Wang, Sahir Bhatnagar, Juliana Schulz
Publikováno v:
Stat. 4:246-254
In this paper, we consider some potential pitfalls of the growing use of quasi-likelihood-based information criteria for longitudinal data to select a working correlation structure in a generalized estimating equation framework. In particular, we exa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eda831c07c7bb20b665288b5f60d77ae
https://doi.org/10.1002/sta4.95
https://doi.org/10.1002/sta4.95
Publikováno v:
Applied Economics. 45:4773-4780
In this article, we evaluate the efficiency of the 10 different regions of Ghana using slack-based data envelopment analysis, a nonparametric linear programming technique. Furthermore, we analyse the variable effects on the efficiency of the regions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f80617f7a8425e1e5aae877f06ed0f38
https://doi.org/10.1080/00036846.2013.804170
https://doi.org/10.1080/00036846.2013.804170