Zobrazeno 1 - 10
of 226
pro vyhledávání: '"Shah RD"'
Publikováno v:
Advances in Medical Education and Practice, Vol 2013, Iss default, Pp 91-93 (2013)
Rupali D Shah, Thomas I LemonSchool of Medicine, Cardiff University, University Hospital of Wales, Cardiff, WalesGordon, Catchpole and Baker1 have discussed and investigated a very interesting, currently relevant, subject in medical education; partic
Externí odkaz:
https://doaj.org/article/09243a41231e4d0cbf63c5188b75eb6c
Publikováno v:
Clinical Ophthalmology, Vol 2013, Iss default, Pp 1081-1082 (2013)
Rupali D Shah, Thomas I Lemon, Ashley Yarrow-JenkinsInstitute of Medical Education, Cardiff University, Cardiff, Wales, UKThis letter is in regards to Fukuda et al.1 We thank the authors for their informative contribution. The use of rabbit specimens
Externí odkaz:
https://doaj.org/article/6b372d79beec4ddbaa2b67d65030f287
Publikováno v:
Clinical Ophthalmology, Vol 2013, Iss default, Pp 793-794 (2013)
Thomas I Lemon, Rupali D ShahSchool of Medicine, Cardiff University, University Hospital of Wales, Cardiff, United KingdomAn interesting study recently reported by Johnston et al1 investigated the interblink interval between dry and normal eye subjec
Externí odkaz:
https://doaj.org/article/91df10762eee4e7dbbf7aa0c109a47e0
Publikováno v:
Lundborg, A R, Shah, R D & Peters, J 2022, ' Conditional independence testing in Hilbert spaces with applications to functional data analysis ', Journal of the Royal Statistical Society. Series B: Statistical Methodology, vol. 84, no. 5, pp. 1821-1850 . https://doi.org/10.1111/rssb.12544
We study the problem of testing the null hypothesis that X and Y are conditionally independent given Z, where each of X, Y and Z may be functional random variables. This generalises testing the significance of X in a regression model of scalar respon
Autor:
Shah, RD, Bühlmann, P
Publikováno v:
Statistical Science, 38 (1)
All models may be wrong -- but that is not necessarily a problem for inference. Consider the standard $t$-test for the significance of a variable $X$ for predicting response $Y$ whilst controlling for $p$ other covariates $Z$ in a random design linea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec72508db21db4a0229c9f98dcc09292
https://www.repository.cam.ac.uk/handle/1810/333728
https://www.repository.cam.ac.uk/handle/1810/333728
Publikováno v:
JMIR Medical Informatics
Background Cardiac arrest is a life-threatening cessation of activity in the heart. Early prediction of cardiac arrest is important, as it allows for the necessary measures to be taken to prevent or intervene during the onset. Artificial intelligence
Autor:
Aliberti, S, Cook, GS, Babu, BL, Reyes, LF, Rodriguez, AH, Sanz, F, Soni, NJ, Anzueto, A, Faverio, P, Sadud, RF, Muhammad, I, Prat, C, Vendrell, E, Neves, J, Kaimakamis, E, Feneley, A, Swarnakar, R, Franzetti, F, Carugati, M, Morosi, M, Monge, E, Restrepo, MI, Aruj, PK, Attorri, S, Barimboim, E, Caeiro, JP, Garzon, MI, Cambursano, VH, Ceccato, A, Chertcoff, J, Lascar, F, Di Tulio, F, Diaz, AC, de Vedia, L, Ganaha, MC, Lambert, S, Lopardo, G, Lopez, V, Luna, CM, Malberti, AG, Morcillo, N, Tartara, S, Pensotti, C, Pereyra, B, Scapellato, PG, Stagnaro, JP, Shah, S, Lotsch, F, Thalhammer, F, Anseeuw, K, Francois, CA, Van Braeckel, E, Vincent, JL, Djimon, MZ, Bashi, J, Dodo, R, Nouer, SA, Chipev, P, Encheva, M, Miteva, D, Petkova, D, Balkissou, AD, Yone, EWP, Ngahane, BHM, Shen, N, Xu, JF, Rico, CAB, Buitrago, R, Paternina, FJP, Ntumba, JMK, Carevic, VV, Jakopovic, M, Jankovic, M, Matkovic, Z, Mitrecic, I, Jacobsson, MLB, Christensen, AB, Bodtger, UCH, Meyer, CN, Jensen, AV, Baunbaek-knudsen, G, Petersen, PT, Andersen, S, Abd El-Wahhab, IES, Morsy, NE, Shafiek, H, Sobh, E, Abdulsemed, KA, Bertrand, F, Brun-Buisson, C, de Montmollin, E, Fartoukh, M, Messika, J, Tattevin, P, Khoury, A, Ebruke, B, Dreher, M, Kolditz, M, Meisinger, M, Pletz, MW, Hagel, S, Rupp, J, Schaberg, T, Spielmanns, M, Creutz, P, Suttorp, N, Siaw-Lartey, B, Dimakou, K, Papapetrou, D, Tsigou, E, Ampazis, D, Bhatia, M, Dhar, R, D'Souza, G, Garg, R, Koul, PA, Mahesh, PA, Jayaraj, BS, Narayan, KV, Udnur, HB, Krishnamurthy, SB, Kant, S, Limaye, S, Salvi, S, Golshani, K, Keatings, VM, Martin-Loeches, I, Maor, Y, Strahilevitz, J, Battaglia, S, Carrabba, M, Ceriana, P, Confalonieri, M, Monforte, AD, Del Prato, B, De Rosa, M, Fantini, R, Fiorentino, G, Gammino, MA, Menzella, F, Milani, G, Nava, S, Palmiero, G, Petrino, R, Gabrielli, B, Rossi, P, Sorino, C, Steinhilber, G, Zanforlin, A, Carone, M, Patella, V, Scarlata, S, Comel, A, Kurahashi, K, Bacha, ZA, Ugalde, DB, Zuniga, OC, Villegas, JF, Medenica, M, van de Garde, EMW, Mihsra, DR, Shrestha, P, Ridgeon, E, Awokola, BI, Nwankwo, ONO, Olufunlola, AB, Olumide, S, Ukwaja, KN, Irfan, M, Minarowski, L, Szymon, S, Froes, F, Leuschner, P, Meireles, M, Ferrao, C, Ravara, SB, Brocovschii, V, Ion, C, Rusu, D, Toma, C, Chirita, D, Dorobat, CM, Birkun, A, Kaluzhenina, A, Almotairi, A, Bukhary, ZAA, Edathodu, J, Fathy, A, Enani, AMA, Mohamed, NE, Memon, JU, Bella, A, Bogdanovic, N, Milenkovic, B, Pesut, D, Borderias, L, Garcia, NMB, Alarcon, HC, Cilloniz, C, Torres, A, Diaz-Brito, V, Casas, X, Gonzalez, AE, Fernandez-Almira, ML, Gallego, M, Gaspar-Garcia, I, del Castillo, JG, Victoria, PJ, Martinez, EL, de Molina, RM, Marcos, PJ, Menendez, R, Pando-Sandoval, A, Aymerich, CP, de la Torre, AL, Garcia-Olive, I, Rello, J, Moyano, S, Sibila, O, Rodrigo-Troyano, A, Sole-Violan, J, Uranga, A, van Boven, JFM, Torra, EV, Pujol, JA, Feldman, C, Yum, HK, Fiogbe, AA, Yangui, F, Bilaceroglu, S, Dalar, L, Yilmaz, U, Bogomolov, A, Elahi, N, Dhasmana, DJ, Ions, R, Skeemer, J, Woltmann, G, Hancock, C, Hill, AT, Rudran, B, Ruiz-Buitrago, S, Campbell, M, Whitaker, P, Youzguin, A, Singanayagam, A, Allen, KS, Brito, V, Dietz, J, Dysart, CE, Kellie, SM, Franco-Sadud, RA, Meier, G, Gaga, M, Holland, TL, Bergin, SP, Kheir, F, Landmeier, M, Lois, M, Nair, GB, Patel, H, Reyes, K, Rodriguez-Cintron, W, Saito, S, Noda, J, Hinojosa, CI, Levine, SM, Angel, LF, Whitlow, KS, Hipskind, J, Sukhija, K, Totten, V, Wunderink, RG, Shah, RD, Mateyo, KJ, Noriega, L, Alvarado, E, Aman, M, Labra, L
Publikováno v:
Aliberti, S, Cook, G S, Babu, B L, Reyes, L F, Rodriguez, A H, Sanz, F, Soni, N J, Anzueto, A, Faverio, P, Sadud, R F, Muhammad, I, Prat, C, Vendrell, E, Neves, J, Kaimakamis, E, Feneley, A, Swarnakar, R, Franzetti, F, Carugati, M, Morosi, M, Monge, E, Restrepo, M I & GLIMP investigators 2019, ' International prevalence and risk factors evaluation for drug-resistant Streptococcus pneumoniae pneumonia ', Journal of Infection, vol. 79, no. 4, pp. 300-311 . https://doi.org/10.1016/j.jinf.2019.07.004
JOURNAL OF INFECTION
r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe
instname
r-ISABIAL. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica y Sanitaria de Alicante
r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
Journal of Infection
r-IGTP. Repositorio Institucional de Producción Científica del Instituto de Investigación Germans Trias i Pujol
JOURNAL OF INFECTION
r-IIS La Fe. Repositorio Institucional de Producción Científica del Instituto de Investigación Sanitaria La Fe
instname
r-ISABIAL. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica y Sanitaria de Alicante
r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
Journal of Infection
r-IGTP. Repositorio Institucional de Producción Científica del Instituto de Investigación Germans Trias i Pujol
Objective: Streptococcus pneumoniae is the most frequent bacterial pathogen isolated in subjects with Community-acquired pneumonia (CAP) worldwide. Limited data are available regarding the current global burden and risk factors associated with drug-r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f052b2e938c56ef963994259ac945162
https://portal.findresearcher.sdu.dk/da/publications/0ceac96c-9153-4bbc-8c32-6df503359436
https://portal.findresearcher.sdu.dk/da/publications/0ceac96c-9153-4bbc-8c32-6df503359436
Publikováno v:
Ambulatory Anesthesia, Vol 2016, Iss Issue 1, Pp 23-26 (2016)
Jennifer Hansen, Ravi D Shah, Hubert A Benzon Department of Pediatric Anesthesiology, Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, IL, USA Abstract: Tonsillectomy is associated
Autor:
Sunita J. Ramanand, Kumbhar Av, Shah Rd, Jaiprakash B. Ramanand, Nimish R. Halasawadekar, G T Raparti
Publikováno v:
International Journal of Reproduction, Contraception, Obstetrics and Gynecology. :3181-3185
Background: This study was conducted to examine influence of hypothyroidism on pathophysiology and features of PCOS with respect to clinical characteristics of polycystic ovarian syndrome (PCOS), hormonal and metabolic profile. Methods: 102 euthyroid
Autor:
Shah Rd, Abiad Musa
Publikováno v:
Journal of Geology & Geophysics.
In this research paper, The GIS and remote sensing data for allowing detection of structural features, such as faults, offers opportunities to improve, mapping and identifying the areas that are likely to be locations of faulting. Faults are weakness