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Currently displaying 21 - 40 of 1873 publications

BETS: The dangers of selection bias in early analyses of the coronavirus disease (COVID-19) pandemic

Q Zhao, N Ju, S Bacallado, RD Shah

– Annals of Applied Statistics

(2021)

15,

363

(DOI: 10.1214/20-AOAS1401)

Confidence intervals for high-dimensional Cox models

Y Yu, J Bradic, RJ Samworth

– Statistica Sinica

(2021)

31,

243

(DOI: 10.5705/ss.202018.0247)

Causal relationship and shared genetic loci between psoriasis and type 2 diabetes through trans-disease meta-analysis

MT Patrick, PE Stuart, H Zhang, Q Zhao, X Yin, K He, X-J Zhou, NN Mehta, JJ Voorhees, M Boehnke, JE Gudjonsson, RP Nair, SK Handelman, JT Elder, DJ Liu, LC Tsoi

– The Journal of investigative dermatology

(2020)

(DOI: 10.1016/j.jid.2020.11.025)

Variational multi-task MRI reconstruction: Joint reconstruction, registration and super-resolution

V Corona, AI Aviles-Rivero, N Debroux, CL Guyader, C-B Schönlieb

– Medical image analysis

(2020)

68,

101941

(DOI: 10.1016/j.media.2020.101941)

Optimisation-based representations for branching processes

DP Driver, MR Tehranchi

– Electronic Journal of Probability

(2020)

25,

(DOI: 10.1214/20-ejp548)

Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences.

AP Christie, D Abecasis, M Adjeroud, JC Alonso, T Amano, A Anton, BP Baldigo, R Barrientos, JE Bicknell, DA Buhl, J Cebrian, RS Ceia, L Cibils-Martina, S Clarke, J Claudet, MD Craig, D Davoult, A De Backer, MK Donovan, TD Eddy, FM França, JPA Gardner, BP Harris, A Huusko, IL Jones, BP Kelaher, JS Kotiaho, A López-Baucells, HL Major, A Mäki-Petäys, B Martín, CA Martín, PA Martin, D Mateos-Molina, RA McConnaughey, M Meroni, CFJ Meyer, K Mills, M Montefalcone, N Noreika, C Palacín, A Pande, CR Pitcher, C Ponce, M Rinella, R Rocha, MC Ruiz-Delgado, JJ Schmitter-Soto, JA Shaffer, S Sharma, AA Sher, D Stagnol, TR Stanley, KDE Stokesbury, A Torres, O Tully, T Vehanen, C Watts, Q Zhao, WJ Sutherland

– Nat Commun

(2020)

11,

6377

(DOI: 10.1038/s41467-020-20142-y)

Random Spanning Forests and Hyperbolic Symmetry

R Bauerschmidt, N Crawford, T Helmuth, A Swan

– Communications in Mathematical Physics

(2020)

381,

1223

(DOI: 10.1007/s00220-020-03921-y)

Large, lengthy graphs look locally like lines

I Benjamini, T Hutchcroft

– Bulletin of the London Mathematical Society

(2020)

53,

482

(DOI: 10.1112/blms.12436)

Contrast CT classification of asymptomatic and symptomatic carotids in stroke and transient ischaemic attack with deep learning and interpretability

EPV Le, NR Evans, JM Tarkin, MM Chowdhury, F Zaccagna, C Wall, Y Huang, JR Weir-Mccall, C Chen, EA Warburton, CB Schonlieb, E Sala, JHF Rudd

– European Heart Journal

(2020)

41,

2418

(DOI: 10.1093/ehjci/ehaa946.2418)

Pericoronary adipose tissue density is associated with clinical disease activity in Takayasu arteritis and coronary arterial inflammation measured by 68Ga-DOTATATE PET in atherosclerosis

C Wall, Y Huang, C Uy, E Le, E Tombetti, D Gopalan, R Manavaki, M Dweck, B Ariff, M Bennett, P Slomka, D Dey, J Mason, J Rudd, J Tarkin

– European Heart Journal

(2020)

41,

182

(DOI: 10.1093/ehjci/ehaa946.0182)

Five rules for evidence communication.

M Blastland, ALJ Freeman, S van der Linden, TM Marteau, D Spiegelhalter

– Nature

(2020)

587,

362

(DOI: 10.1038/d41586-020-03189-1)

First Cosmology Results using Supernovae Ia from the Dark Energy Survey: Survey Overview, Performance, and Supernova Spectroscopy

M Smith, CB D'Andrea, M Sullivan, A Möller, RC Nichol, RC Thomas, AG Kim, M Sako, FJ Castander, AV Filippenko, RJ Foley, L Galbany, S González-Gaitán, E Kasai, RP Kirshner, C Lidman, D Scolnic, D Brout, TM Davis, RR Gupta, SR Hinton, R Kessler, J Lasker, E Macaulay, RC Wolf, B Zhang, J Asorey, A Avelino, BA Bassett, J Calcino, D Carollo, R Casas, P Challis, M Childress, A Clocchiatti, S Crawford, C Frohmaier, K Glazebrook, DA Goldstein, ML Graham, JK Hoormann, K Kuehn, GF Lewis, KS Mandel, E Morganson, D Muthukrishna, P Nugent, YC Pan, M Pursiainen, R Sharp, NE Sommer, E Swann, BP Thomas, BE Tucker, SA Uddin, P Wiseman, W Zheng, TMC Abbott, J Annis, S Avila, K Bechtol, GM Bernstein, E Bertin, D Brooks, DL Burke, A Carnero Rosell, M Carrasco Kind, J Carretero, CE Cunha, LN da Costa, C Davis, J De Vicente, HT Diehl, TF Eifler, J Estrada, J Frieman, J García-Bellido, E Gaztanaga, DW Gerdes, D Gruen, RA Gruendl, J Gschwend, G Gutierrez, WG Hartley, DL Hollowood, K Honscheid, B Hoyle, DJ James, MWG Johnson, MD Johnson, N Kuropatkin, TS Li, M Lima, MAG Maia, M March, JL Marshall, P Martini, F Menanteau, CJ Miller, R Miquel

– The Astronomical Journal

(2020)

160,

267

(DOI: 10.3847/1538-3881/abc01b)

New critical exponent inequalities for percolation and the random cluster model

T Hutchcroft

– Probability and Mathematical Physics

(2020)

147

(DOI: 10.2140/pmp.2020.1.147)

Mean-field tricritical polymers

R Bauerschmidt, G Slade

– Probability and Mathematical Physics

(2020)

167

(DOI: 10.2140/pmp.2020.1.167)

On the tail of the branching random walk local time

O Angel, T Hutchcroft, A Járai

– Probability Theory and Related Fields

(2020)

(DOI: 10.1007/s00440-020-01014-4)

A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19

S Wang, X Yang, L Li, P Nadler, R Arcucci, Y Huang, Z Teng, Y Guo

– IEEE Computational Intelligence Magazine

(2020)

15,

(DOI: 10.1109/mci.2020.3019874)

Supercritical percolation on nonamenable graphs: isoperimetry, analyticity, and exponential decay of the cluster size distribution

J Hermon, T Hutchcroft

– Inventiones mathematicae

(2020)

224,

445

(DOI: 10.1007/s00222-020-01011-3)

Cutoff for Random Walk on Dynamical Erdős--Rényi Graph

P Sousi, S Thomas

– L'Institut Henri Poincare, Annales B: Probabilites et Statistiques

(2020)

56,

2745

(DOI: 10.1214/20-AIHP1057)

A comparison principle for random walk on dynamical percolation

J Hermon, P Sousi

– The Annals of Probability

(2020)

48,

2952

(DOI: 10.1214/20-AOP1441)

Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study.

AK Clift, CAC Coupland, RH Keogh, K Diaz-Ordaz, E Williamson, EM Harrison, A Hayward, H Hemingway, P Horby, N Mehta, J Benger, K Khunti, D Spiegelhalter, A Sheikh, J Valabhji, RA Lyons, J Robson, MG Semple, F Kee, P Johnson, S Jebb, T Williams, J Hippisley-Cox

– The BMJ

(2020)

371,

m3731

(DOI: 10.1136/bmj.m3731)