Diffusion Generative Modelling for Divide-and-Conquer MCMC

Autor: Trojan, C., Fearnhead, P., Nemeth, C.

Divide-and-conquer MCMC is a strategy for parallelising Markov Chain Monte Carlo sampling by running independent samplers on disjoint subsets of a dataset and merging their output. An ongoing challenge in the literature is to efficiently perform this

Externí odkaz: http://arxiv.org/abs/2406.11664

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Long-term (180-day) outcomes in critically ill patients with COVID-19 in the REMAP-CAP randomized clinical trial

Autor: Florescu, S, Stanciu, D, Zaharia, M, Kosa, A, Codreanu, D, Kidwai, A, Masood, S, Kaye, C, Coutts, A, MacKay, L, Summers, C, Polgarova, P, Farahi, N, Fox, E, McWilliam, S, Hawcutt, D, Rad, L, O’Malley, L, Whitbread, J, Jones, D, Dore, R, Saunderson, P, Kelsall, O, Cowley, N, Wild, L, Thrush, J, Wood, H, Austin, K, Bélteczki, J, Magyar, I, Fazekas, Á, Kovács, S, Szőke, V, Donnelly, A, Kelly, M, Smyth, N, O’Kane, S, McClintock, D, Warnock, M, Campbell, R, McCallion, E, Azaiz, A, Charron, C, Godement, M, Geri, G, Vieillard-Baron, A, Johnson, P, McKenna, S, Hanley, J, Currie, A, Allen, B, McGoldrick, C, McMaster, M, Mani, A, Mathew, M, Kandeepan, R, Vignesh, C, TV, B, Ramakrishnan, N, James, A, Elvira, E, Jayakumar, D, Pratheema, R, Babu, S, Ebenezer, R, Krishnaoorthy, S, Ranganathan, L, Ganesan, M, Shree, M, Guilder, E, Butler, M, Cowdrey, K-A, Robertson, M, Ali, F, McMahon, E, Duffy, E, Chen, Y, Simmonds, C, McConnochie, R, O’Connor, C, El-Khawas, K, Richardson, A, Hill, D, Commons, R, Abdelkharim, H, Saxena, M, Muteithia, M, Dobell-Brown, K, Jha, R, Kalogirou, M, Ellis, C, Krishnamurthy, V, O’Connor, A, Thurairatnam, S, Mukherjee, D, Kaliappan, A, Vertue, M, Nicholson, A, Riches, J, Maloney, G, Kittridge, L, Solesbury, A, Ramos, A, Collins, D, Brickell, K, Reid, L, Smyth, M, Breen, P, Spain, S, Curley, G, McEvoy, N, Geoghegan, P, Clarke, J, Silversides, J, McGuigan, P, Ward, K, O’Neill, A, Finn, S, Wright, C, Green, J, Collins, É, Knott, C, Smith, J, Boschert, C, Slieker, K, Ewalds, E, Sanders, A, Wittenberg, W, Geurts, H, Poojara, L, Sara, T, Nand, K, Reeve, B, Dechert, W, Phillips, B, Oritz-Ruiz de Gordoa, L, Affleck, J, Shaikh, A, Murray, A, Ramanan, M, Frakking, T, Pinnell, J, Robinson, M, Gledhill, L, Wood, T, Sanghavi, R, Bhonagiri, D, Ford, M, Parikh, HG, Avard, B, Nourse, M, McDonald, B, Edmunds, N, Hoiting, O, Peters, M, Rengers, E, Evers, M, Prinssen, A, Morgan, M, Cole, J, Hill, H, Davies, M, Williams, A, Thomas, E, Davies, R, Wise, M, Grimm, 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Publikováno v: JAMA : the journal of the American Medical Association
JAMA, 329(1), 39-51. American Medical Association
Journal of the American Medical Association
Journal of the American Medical Association, 2023, 329 (1), pp.39-51. ⟨10.1001/jama.2022.23257⟩
Jama : Journal of the American Medical Association, 329, 1, pp. 39-51
Higgins, A M, Berry, L R, Lorenzi, E, Murthy, S, McQuilten, Z, Mouncey, P R, Al-Beidh, F, Annane, D, Arabi, Y M, Beane, A, Van Bentum-Puijk, W, Bhimani, Z, Bonten, M J M, Bradbury, C A, Brunkhorst, F M, Burrell, A, Buzgau, A, Buxton, M, Charles, W N, Cove, M, Detry, M A, Estcourt, L J, Fagbodun, E O, Fitzgerald, M, Girard, T D, Goligher, E C, Goossens, H, Haniffa, R, Hills, T, Horvat, C M, Huang, D T, Ichihara, N, Lamontagne, F, Marshall, J C, McAuley, D F, McGlothlin, A, McGuinness, S P, McVerry, B J, Neal, M D, Nichol, A D, Parke, R L, Parker, J C, Parry-Billings, K, Peters, S E C, Reyes, L F, Rowan, K M, Saito, H, Santos, M S, Saunders, C T & Serpa-Neto, A 2023, ' Long-term (180-day) outcomes in critically ill patients with COVID-19 in the REMAP-CAP randomized clinical trial ', JAMA, vol. 329, no. 1, pp. 39-51 . https://doi.org/10.1001/jama.2022.23257
Bradbury, C A & Higgins, A M 2023, ' Long-term (180-Day) Outcomes in Critically Ill Patients With COVID-19 in the REMAP-CAP Randomized Clinical Trial ', JAMA-Journal of the American Medical Association, vol. 329, no. 1, pp. 39-51 . https://doi.org/10.1001/jama.2022.23257
Jama : Journal of the American Medical Association, 329, 39-51
JAMA

ImportanceThe longer-term effects of therapies for the treatment of critically ill patients with COVID-19 are unknown.ObjectiveTo determine the effect of multiple interventions for critically ill adults with COVID-19 on longer-term outcomes.Design, S

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95f91977e02cef294ec43548f54d8c74
https://hdl.handle.net/10067/1935240151162165141

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