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pro vyhledávání: '"Diaz-Ordaz, K"'
Autor:
Pegram, C., Brodbelt, D.C., Diaz-Ordaz, K., Chang, Y., von Hekkel, A. Frykfors, Church, D.B., O’Neill, D.G.
Publikováno v:
In The Veterinary Journal February 2023 292
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Publikováno v:
Stochastics and Dynamics, vol 6, issue 4 (2006), pp. 423-458
We prove that a class of one-dimensional maps with an arbitrary number of non-degenerate critical and singular points admits an induced Markov tower with exponential return time asymptotics. In particular the map has an absolutely continuous invarian
Externí odkaz:
http://arxiv.org/abs/0709.1723
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Publikováno v:
Journal of the Royal Statistical Society. Series A (Statistics in Society), 2014 Feb 01. 177(2), 457-474.
Externí odkaz:
http://www.jstor.org/stable/43965705
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Autor:
Williamson, EJ, Tazare, J, Bhaskaran, K, McDonald, HI, Walker, AJ, Tomlinson, L, Wing, K, Bacon, S, Bates, C, Curtis, HJ, Forbes, HJ, Minassian, C, Morton, CE, Nightingale, E, Mehrkar, A, Evans, D, Nicholson, BD, Leon, DA, Inglesby, P, MacKenna, B, Davies, NG, DeVito, NJ, Drysdale, H, Cockburn, J, Hulme, WJ, Morley, J, Douglas, I, Rentsch, CT, Mathur, R, Wong, A, Schultze, A, Croker, R, Parry, J, Hester, F, Harper, S, Grieve, R, Harrison, DA, Steyerberg, EW, Eggo, RM, Diaz-Ordaz, K, Keogh, R, Evans, SJW, Smeeth, L, Goldacre, B
Publikováno v:
Williamson, E J, Tazare, J, Bhaskaran, K, McDonald, H I, Walker, A J, Tomlinson, L, Wing, K, Bacon, S, Bates, C, Curtis, H J, Forbes, H J, Minassian, C, Morton, C E, Nightingale, E, Mehrkar, A, Evans, D, Nicholson, B D, Leon, D A, Inglesby, P, MacKenna, B, Davies, N G, DeVito, N J, Drysdale, H, Cockburn, J, Hulme, W J, Morley, J, Douglas, I, Rentsch, C T, Mathur, R, Wong, A, Schultze, A, Croker, R, Parry, J, Hester, F, Harper, S, Grieve, R, Harrison, D A, Steyerberg, E W, Eggo, R M, Diaz-Ordaz, K, Keogh, R, Evans, S J W & Smeeth, L & Goldacre, B 2022, ' Comparison of methods for predicting COVID-19-related death in the general population using the OpenSAFELY platform ', Diagnostic and Prognostic Research, vol. 6, no. 1, pp. 6 . https://doi.org/10.1186/s41512-022-00120-2
Background Obtaining accurate estimates of the risk of COVID-19-related death in the general population is challenging in the context of changing levels of circulating infection. Methods We propose a modelling approach to predict 28-day COVID-19-rela
Autor:
Leclerc, QJ, Fuller, NM, Keogh, RH, Diaz-Ordaz, K, Sekula, R, Semple, MG, Baillie, JK, Openshaw, PJM, Carson, G, Alex, B, Bach, B, Barclay, WS, Bogaert, D, Chand, M, Cooke, GS, Docherty, AB, Dunning, J, da Silva Filipe, A, Fletcher, T, Green, CA, Harrison, EM, Hiscox, JA, Ho, AYW, Horby, PW, Ijaz, S, Khoo, S, Klenerman, P, Law, A, Lim, WS, Mentzer, AJ, Merson, L, Meynert, AM, Noursadeghi, M, Moore, SC, Palmarini, M, Paxton, WA, Pollakis, G, Price, N, Rambaut, A, Robertson, DL, Russell, CD, Sancho-Shimizu, V, Scott, JT, de Silva, T, Sigfrid, L, Solomon, T, Sriskandan, S, Stuart, D, Summers, C, Tedder, RS, Thomson, EC, Thompson, AAR, Thwaites, RS, Turtle, LCW, Zambon, M, Hardwick, H, Donohue, C, Lyons, R, Griffiths, F, Oosthuyzen, W, Norman, L, Pius, R, Drake, TM, Fairfield, CJ, Knight, S, Mclean, KA, Murphy, D, Shaw, CA, Dalton, J, Lee, J, Plotkin, D, Girvan, M, Saviciute, E, Roberts, S, Harrison, J, Marsh, L, Connor, M, Halpin, S, Jackson, C, Gamble, C, Petersen, C, Mullaney, S, Leeming, G, Wham, M, Clohisey, S, Hendry, R, Scott-Brown, J, Greenhalf, W, Shaw, V, McDonald, S, Keating, S, Ahmed, KA, Armstrong, JA, Ashworth, M, Asiimwe, IG, Bakshi, S, Barlow, SL, Booth, L, Brennan, B, Bullock, K, Catterall, BWA, Clark, JJ, Clarke, EA, Cole, S, Cooper, L, Cox, H, Davis, C, Dincarslan, O, Dunn, C, Dyer, P, Elliott, A, Evans, A, Finch, L, Fisher, LWS, Foster, T, Garcia-Dorival, I, Gunning, P, Hartley, C, Ho, A, Jensen, RL, Jones, CB, Jones, TR, Khandaker, S, King, K, Kiy, RT, Koukorava, C, Lake, A, Lant, S, Latawiec, D, Lavelle-Langham, L, Lefteri, D, Lett, L, Livoti, LA, Mancini, M, McEvoy, L, McLauchlan, J, Metelmann, S, Miah, NS, Middleton, J, Mitchell, J, Murphy, EG, Penrice-Randal, R, Pilgrim, J, Prince, T, Reynolds, W, Ridley, PM, Sales, D, Shaw, VE, Shears, RK, Small, B, Subramaniam, KS, Szemiel, A, Taggart, A, Tanianis-Hughes, J, Thomas, J, Trochu, E, van Tonder, L, Wilcock, E, Zhang, JE, Adeniji, K, Agranoff, D, Agwuh, K, Ail, D, Alegria, A, Angus, B, Ashish, A, Atkinson, D, Bari, S, Barlow, G, Barnass, S, Barrett, N, Bassford, C, Baxter, D, Beadsworth, M, Bernatoniene, J, Berridge, J, Best, N, Bothma, P, Brealey, D, Brittain-Long, R, Bulteel, N, Burden, T, Burtenshaw, A, Caruth, V, Chadwick, D, Chambler, D, Chee, N, Child, J, Chukkambotla, S, Clark, T, Collini, P, Cosgrove, C, Cupitt, J, Cutino-Moguel, M-T, Dark, P, Dawson, C, Dervisevic, S, Donnison, P, Douthwaite, S, DuRand, I, Dushianthan, A, Dyer, T, Evans, C, Eziefula, C, Fegan, C, Finn, A, Fullerton, D, Garg, S, Garg, A, Gkrania-Klotsas, E, Godden, J, Goldsmith, A, Graham, C, Hardy, E, Hartshorn, S, Harvey, D, Havalda, P, Hawcutt, DB, Hobrok, M, Hodgson, L, Hormis, A, Jacobs, M, Jain, S, Jennings, P, Kaliappan, A, Kasipandian, V, Kegg, S, Kelsey, M, Kendall, J, Kerrison, C, Kerslake, I, Koch, O, Koduri, G, Koshy, G, Laha, S, Laird, S, Larkin, S, Leiner, T, Lillie, P, Limb, J, Linnett, V, Little, J, MacMahon, M, MacNaughton, E, Mankregod, R, Masson, H, Matovu, E, McCullough, K, McEwen, R, Meda, M, Mills, G, Minton, J, Mirfenderesky, M, Mohandas, K, Mok, Q, Moon, J, Moore, E, Morgan, P, Morris, C, Mortimore, K, Moses, S, Mpenge, M, Mulla, R, Murphy, M, Nagel, M, Nagarajan, T, Nelson, M, Otahal, I, Pais, M, Panchatsharam, S, Paraiso, H, Patel, B, Pattison, N, Pepperell, J, Peters, M, Phull, M, Pintus, S, Pooni, JS, Post, F, Price, D, Prout, R, Rae, N, Reschreiter, H, Reynolds, T, Richardson, N, Roberts, M, Roberts, D, Rose, A, Rousseau, G, Ryan, B, Saluja, T, Shah, A, Shanmuga, P, Sharma, A, Shawcross, A, Sizer, J, Shankar-Hari, M, Smith, R, Snelson, C, Spittle, N, Staines, N, Stambach, T, Stewart, R, Subudhi, P, Szakmany, T, Tatham, K, Thompson, C, Thompson, R, Tridente, A, Tupper-Carey, D, Twagira, M, Ustianowski, A, Vallotton, N, Vincent-Smith, L, Visuvanathan, S, Vuylsteke, A, Waddy, S, Wake, R, Walden, A, Welters, I, Whitehouse, T, Whittaker, P, Whittington, A, Wijesinghe, M, Williams, M, Wilson, L, Wilson, S, Winchester, S, Wiselka, M, Wolverson, A, Wooton, DG, Workman, A, Yates, B, Young, P, Quaife, M, Jarvis, CI, Meakin, SR, Quilty, BJ, Prem, K, Villabona-Arenas, CJ, Sun, FY, Abbas, K, Auzenbergs, M, Gimma, A, Tully, DC, Sherratt, K, Rosello, A, Davies, NG, Liu, Y, Lowe, R, Gibbs, HP, Waterlow, NR, Edmunds, WJ, Simons, D, Medley, G, Munday, JD, Flasche, S, Sandmann, FG, Showering, A, Eggo, RM, Chan, Y-WD, Pearson, CAB, Kucharski, AJ, Foss, AM, Russell, TW, Bosse, NI, Jit, M, Abbott, S, Williams, J, Endo, A, Clifford, S, Gore-Langton, GR, Klepac, P, Brady, O, Hellewell, J, Funk, S, van Zandvoort, K, Barnard, RC, Nightingale, ES, Jombart, T, Atkins, KE, Procter, SR, Knight, GM
Background\ud \ud Predicting bed occupancy for hospitalised patients with COVID-19 requires understanding of length of stay (LoS) in particular bed types. LoS can vary depending on the patient’s “bed pathway” - the sequence of transfers of indi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::80a6045569c4f0ca7375cbb7bbd8c05b
Akademický článek
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Background: Targeted obesity prevention policies would benefit from the identification of population groups with the highest risk of weight gain. The relative importance of adult age, sex, ethnicity, geographical region, and degree of social deprivat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2127::f72c49ca224e0e31c875fed2c36fe44d
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3076483
https://pergamos.lib.uoa.gr/uoa/dl/object/uoadl:3076483