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Number of items: 185.

Article

Adame-Siles, JA; Guerrero-Ginel, JE; Fearn, T; Garrido-Varo, A; Pérez-Marín, D; (2019) Multistage and adaptive sampling protocols combined with near-infrared spectral sensors for automated monitoring of raw materials in bulk. Biosystems Engineering , 188 pp. 82-95. 10.1016/j.biosystemseng.2019.10.008.

Alexopoulos, A; Dellaportas, P; Forster, JJ; (2019) Bayesian forecasting of mortality rates by using latent Gaussian models. Journal of the Royal Statistical Society: Series A (Statistics in Society) , 182 (2) pp. 689-711. 10.1111/rssa.12422.

Arakelian, V; Dellaportas, P; Savona, R; Vezzoli, M; (2019) Sovereign risk zones in Europe during and after the debt crisis. Quantitative Finance , 19 (6) pp. 961-980. 10.1080/14697688.2018.1562197.

Banerjee, G; Chan, E; Ambler, G; Wilson, D; Cipolotti, L; Shakeshaft, C; Cohen, H; ... Vahidassr, D; + view all Banerjee, G; Chan, E; Ambler, G; Wilson, D; Cipolotti, L; Shakeshaft, C; Cohen, H; Yousry, T; Lip, GYH; Muir, KW; Brown, MM; Jaeger, HR; Werring, DJ; Salman, RA-S; Shaw, L; Harkness, K; Sword, J; Nor, AM; Sharma, P; Kelly, D; Harrington, F; Randall, M; Smith, M; Mahawish, K; Elmarim, A; Esisi, B; Cullen, C; Nallasivam, A; Price, C; Barry, A; Roffe, C; Coyle, J; Hassan, A; Lovelock, C; Birns, J; Cohen, D; Sekaran, L; Parry-Jones, A; Parry, A; Hargroves, D; Proschel, H; Datta, P; Darawil, K; Manoj, A; Burn, M; Patterson, C; Giallombardo, E; Smyth, N; Mansoor, S; Anwar, I; Marsh, R; Ispoglou, S; Chadha, D; Prabhakaran, M; Meenakishundaram, S; O'Connell, J; Scott, J; Krishnamurthy, V; Aghoram, P; McCormick, M; O'Mahony, P; Cooper, M; Choy, L; Wilkinson, P; Leach, S; Caine, S; Burger, I; Gunathilagan, G; Guyler, P; Emsley, H; Davis, M; Manawadu, D; Pasco, K; Mamun, M; Luder, R; Sajid, M; Okwera, J; Staals, J; Warburton, E; Saastamoinen, K; England, T; Putterill, J; Flossman, E; Power, M; Dani, K; Mangion, D; Suman, A; Corrigan, J; Lawrence, E; Vahidassr, D; - view fewer (2019) Effect of small-vessel disease on cognitive trajectory after atrial fibrillation-related ischaemic stroke or TIA. Journal of Neurology , 266 (5) pp. 1250-1259. 10.1007/s00415-019-09256-6.

Barnes, C; Chandler, R; Brierley, C; (2019) New approaches to postprocessing of multi-model ensemble forecasts. Quarterly Journal of the Royal Meteorological Society , 145 (725) pp. 3479-3498. 10.1002/qj.3632.

Belot, A; Ndiaye, A; Luque-Fernandez, M-A; Kipourou, D-K; Maringe, C; Rubio, FJ; Rachet, B; (2019) Summarizing and communicating on survival data according to the audience: a tutorial on different measures illustrated with population-based cancer registry data. Clinical Epidemiology , 11 pp. 53-65. 10.2147/CLEP.S173523.

Bisla, J; Ambler, G; Frank, B; Gulati, S; Hocken, P; James, M; Kelly, J; ... Goebel, A; + view all Bisla, J; Ambler, G; Frank, B; Gulati, S; Hocken, P; James, M; Kelly, J; Keshet-Price, J; McCabe, C; McGylnn, D; Padfield, N; Pang, D; Pout, G; Sanders, M; Serpell, M; Shenker, N; Shoukrey, K; Wesley, S; Weston, M; White-Alao, B; Wyatt, L; Murphy, C; Goebel, A; - view fewer (2019) Successful and unsuccessful recruitment and retainment strategies in a UK multicentre drug trial for a rare chronic pain condition which performed above target. British Journal of Pain 10.1177/2049463719893399. (In press).

Bloom, CI; Ricciardi, F; Smeeth, L; Stone, P; Quint, JK; (2019) Predicting COPD 1-year mortality using prognostic predictors routinely measured in primary care. BMC Medicine , 17 (1) , Article 73. 10.1186/s12916-019-1310-0.

Bottomley, C; Scott, JAG; Isham, V; (2019) Analysing Interrupted Time Series with a Control. Epidemiologic Methods 10.1515/em-2018-0010. (In press).

Briol, F-X; DiazDelaO, FA; Hristov, PO; (2019) Contributed Discussion [A Bayesian Conjugate Gradient Method]. Bayesian Analysis , 14 (3) pp. 980-984. 10.1214/19-BA1145.

Briol, FX; Oates, CJ; Girolami, M; Osborne, MA; Sejdinovic, D; (2019) Probabilistic integration: A role in statistical computation? Statistical Science , 34 (1) pp. 1-22. 10.1214/18-STS660.

Briol, FX; Oates, CJ; Girolami, M; Osborne, MA; Sejdinovic, D; (2019) Rejoinder: Probabilistic integration: A role in statistical computation? Statistical Science , 34 (1) pp. 38-42. 10.1214/18-STS683.

Buckman, JEJ; Saunders, R; Cohen, Z; Clarke, K; Ambler, G; DeRubeis, R; Gilbody, S; ... Pilling, S; + view all Buckman, JEJ; Saunders, R; Cohen, Z; Clarke, K; Ambler, G; DeRubeis, R; Gilbody, S; Hollon, S; Kendrick, T; Watkins, E; White, I; Lewis, G; Pilling, S; - view fewer (2019) What factors indicate prognosis for adults with depression in primary care? A protocol for meta-analyses of individual patient data using the Dep-GP database [version 1; peer review: 1 approved, 1 approved with reservations]. Wellcome Open Research , 4 , Article 69. 10.12688/wellcomeopenres.15225.1.

Buckman, JEJ; Saunders, R; Cohen, ZD; Clarke, K; Ambler, G; DeRubeis, RJ; Gilbody, S; ... Pilling, S; + view all Buckman, JEJ; Saunders, R; Cohen, ZD; Clarke, K; Ambler, G; DeRubeis, RJ; Gilbody, S; Hollon, SD; Kendrick, T; Watkins, E; White, IR; Lewis, G; Pilling, S; - view fewer (2019) What factors indicate prognosis for adults with depression in primary care? A protocol for meta-analyses of individual patient data using the Dep-GP database [version 2; peer review: 2 approved]. Wellcome Open Research , 4 , Article 69. 10.12688/wellcomeopenres.15225.2.

Bullement, Ash; Taylor, Matthew; McMordie, Sam Thomas; Waters, Errol; Hatswell, Anthony James; (2019) NICE, in Confidence: An Assessment of Redaction to Obscure Confidential Information in Single Technology Appraisals by the National Institute for Health and Care Excellence. PharmacoEconomics , 37 pp. 1383-1390. 10.1007/s40273-019-00818-0.

Bullement, A; Nathan, P; Willis, A; Amin, A; Lilley, C; Stapelkamp, C; Hatswell, A; ... Bharmal, M; + view all Bullement, A; Nathan, P; Willis, A; Amin, A; Lilley, C; Stapelkamp, C; Hatswell, A; Pescott, C; Bharmal, M; - view fewer (2019) Cost Effectiveness of Avelumab for Metastatic Merkel Cell Carcinoma. PharmacoEconomics - Open , 3 pp. 377-390. 10.1007/s41669-018-0115-y.

Chan, MS; Van Den Hout, A; Pujades-Rodriguez, M; Jones, MM; Matthews, FE; Jagger, C; Raine, R; Chan, MS; Van Den Hout, A; Pujades-Rodriguez, M; Jones, MM; Matthews, FE; Jagger, C; Raine, R; Bajekal, M; - view fewer (2019) Socioeconomic inequalities in life expectancy of older adults with and without multimorbidity: a record linkage study of 1.1 million people in England. International Journal of Epidemiology , 48 (4) pp. 1340-1351. 10.1093/ije/dyz052.

Chang, KL; Guillas, S; (2019) Computer model calibration with large non-stationary spatial outputs: application to the calibration of a climate model. Journal of the Royal Statistical Society - Applied Statistics: Series C , 68 (1) pp. 51-78. 10.1111/rssc.12309.

Chisholm, S; Stein, AB; Jordan, NR; Hubel, TM; Shawe-Taylor, J; Fearn, T; McNutt, JW; ... Hailes, S; + view all Chisholm, S; Stein, AB; Jordan, NR; Hubel, TM; Shawe-Taylor, J; Fearn, T; McNutt, JW; Wilson, AM; Hailes, S; - view fewer (2019) Parsimonious test of dynamic interaction. Ecology and Evolution , 9 (4) pp. 1654-1664. 10.1002/ece3.4805.

Choi, D; Pavlou, M; Omar, R; Arts, M; Balabaud, L; Buchowski, JM; Bunger, C; ... Crockard, HA; + view all Choi, D; Pavlou, M; Omar, R; Arts, M; Balabaud, L; Buchowski, JM; Bunger, C; Chung, CK; Coppes, MH; Depreitere, B; Fehlings, MG; Kawahara, N; Lee, C-S; Leung, Y; Martin-Benlloch, JA; Massicotte, EM; Mazel, C; Meyer, B; Oner, FC; Peul, W; Quraishi, N; Tokuhashi, Y; Tomita, K; Ulbricht, C; Verlaan, J-J; Wang, M; Crockard, HA; - view fewer (2019) A novel risk calculator to predict outcome after surgery for symptomatic spinal metastases; use of a large prospective patient database to personalise surgical management. European Journal Cancer , 107 pp. 28-36. 10.1016/j.ejca.2018.11.011.

Coats, CJ; Pavlou, M; Watkinson, OT; Protonotarios, A; Moss, L; Hyland, R; Rantell, K; ... Elliott, PM; + view all Coats, CJ; Pavlou, M; Watkinson, OT; Protonotarios, A; Moss, L; Hyland, R; Rantell, K; Pantazis, AA; Tome, M; McKenna, WJ; Frenneaux, MP; Omar, R; Elliott, PM; - view fewer (2019) Effect of Trimetazidine Dihydrochloride Therapy on Exercise Capacity in Patients With Nonobstructive Hypertrophic Cardiomyopathy: A Randomized Clinical Trial. JAMA Cardiology , 4 (3) pp. 230-235. 10.1001/jamacardio.2018.4847.

Cotar, C; Petrache, M; (2019) Next-order asymptotic expansion for N-marginal optimal transport with Coulomb and Riesz costs. Advances in Mathematics , 344 pp. 137-233. 10.1016/j.aim.2018.12.008.

Crawley, J; Biddulph, P; Northrop, PJ; Wingfield, J; Oreszczyn, T; Elwell, C; (2019) Quantifying the measurement error on England and Wales EPC ratings. Energies , 12 (18) , Article 3523. 10.3390/en12183523.

D’Antona, L; McHugh, JA; Ricciardi, F; Thorne, LW; Matharu, MS; Watkins, LD; Toma, AK; D’Antona, L; McHugh, JA; Ricciardi, F; Thorne, LW; Matharu, MS; Watkins, LD; Toma, AK; Bremner, FD; - view fewer (2019) Association of Intracranial Pressure and Spontaneous Retinal Venous Pulsation. JAMA Neurology 10.1001/jamaneurol.2019.2935. (In press).

De Mijolla, D; Viti, S; Holdship, J; Manolopoulou, I; Yates, J; (2019) Incorporating astrochemistry into molecular line modelling via emulation. Astronomy and Astrophysics , 630 , Article A117. 10.1051/0004-6361/201935973.

Debia, S; Pineau, P-O; Siddiqui, AS; (2019) Strategic use of storage: The impact of carbon policy, resource availability, and technology efficiency on a renewable-thermal power system. Energy Economics , 80 pp. 100-122. 10.1016/j.eneco.2018.12.006.

Dellaportas, P; Tsionas, MG; (2019) Importance sampling from posterior distributions using copula-base approximations. Journal of Econometrics , 210 (1) pp. 45-57. 10.1016/j.jeconom.2018.11.004.

Di Tanna, GL; Porter, JK; Lipton, RB; Brennan, A; Palmer, S; Hatswell, AJ; Sapra, S; Di Tanna, GL; Porter, JK; Lipton, RB; Brennan, A; Palmer, S; Hatswell, AJ; Sapra, S; Villa, G; - view fewer (2019) Migraine day frequency in migraine prevention: longitudinal modelling approaches. BMC Medical Research Methodology , 19 , Article 20. 10.1186/s12874-019-0664-5.

Di Tanna, GL; Porter, JK; Lipton, RB; Hatswell, AJ; Sapra, S; Villa, G; (2019) Longitudinal assessment of utilities in patients with migraine: an analysis of erenumab randomized controlled trials. Health Qual Life Outcomes , 17 (1) , Article 171. 10.1186/s12955-019-1242-6.

Dias, FS; Peters, GW; (2019) A Non-parametric Test and Predictive Model for Signed Path Dependence. Computational Economics 10.1007/s10614-019-09934-7. (In press).

Dixon, WG; Beukenhorst, AL; Yimer, BB; Cook, L; Gasparrini, A; El-Hay, T; Hellman, B; ... McBeth, J; + view all Dixon, WG; Beukenhorst, AL; Yimer, BB; Cook, L; Gasparrini, A; El-Hay, T; Hellman, B; James, B; Vicedo-Cabrera, AM; Maclure, M; Silva, R; Ainsworth, J; Pisaniello, HL; House, T; Lunt, M; Gamble, C; Sanders, C; Schultz, DM; Sergeant, JC; McBeth, J; - view fewer (2019) How the weather affects the pain of citizen scientists using a smartphone app. npj Digital Medicine , 2 , Article 105. 10.1038/s41746-019-0180-3.

Dong, M; Wang, Y; Yang, X; Xue, J-H; (2019) Learning Local Metrics and Influential Regions for Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence 10.1109/tpami.2019.2914899. (In press).

Döring, L; Watson, AR; Weissmann, P; (2019) Lévy processes with finite variance conditioned to avoid an interval. Electronic Journal of Probability , 24 (55) pp. 1-32. 10.1214/19-EJP306.

Duran-Casablancas, C; Grau-Bové, J; Fearn, T; Strlič, M; (2019) Accumulation of wear and tear in archival and library collections. Part II: an epidemiological study. Heritage Science , 7 (1) , Article 11. 10.1186/s40494-019-0253-2.

Ehrhardt, B; Wolfe, PJ; (2019) Network Modularity in the Presence of Covariates. SIAM Review , 61 (2) pp. 261-276. 10.1137/17M1111528.

Espasandín-Domínguez, J; Cadarso-Suárez, C; Kneib, T; Marra, G; Klein, N; Radice, R; Lado-Baleato, O; ... Gude, F; + view all Espasandín-Domínguez, J; Cadarso-Suárez, C; Kneib, T; Marra, G; Klein, N; Radice, R; Lado-Baleato, O; González-Quintela, A; Gude, F; - view fewer (2019) Assessing the relationship between markers of glycemic control through flexible copula regression models. Statistics in Medicine , 38 (27) pp. 5161-5181. 10.1002/sim.8358.

Fearn, T; Pérez Marín, D; Garrido Varo, A; Guerrero Ginel, JE; (2019) Classifying with confidence using Bayes rule and kernel density estimation. Chemometrics and Intelligent Laboratory Systems , 189 pp. 81-87. 10.1016/j.chemolab.2019.04.0004.

Filippou, P; Kneib, T; Marra, G; Radice, R; (2019) A Trivariate Additive Regression Model with Arbitrary Link Functions and Varying Correlation Matrix. Journal of Statistical Planning and Inference , 119 pp. 236-248. 10.1016/j.jspi.2018.07.002.

Finke, A; King, R; Beskos, A; Dellaportas, P; (2019) Efficient Sequential Monte Carlo Algorithms for Integrated Population Models. Journal of Agricultural, Biological and Environmental Statistics , 24 (2) pp. 204-224. 10.1007/s13253-018-00349-9.

Francisco, EDR; Kugler, JL; Kang, SM; Silva, R; Whigham, PA; (2019) Beyond Technology: Management Challenges in the Big Data Era. Revista de Administração de Empresas , 59 (6) pp. 375-378. 10.1590/S0034-759020190603.

Froghi, F; Soggiu, F; Ricciardi, F; Gurusamy, K; Martin, DS; Singh, J; Siddique, S; ... Davidson, BR; + view all Froghi, F; Soggiu, F; Ricciardi, F; Gurusamy, K; Martin, DS; Singh, J; Siddique, S; Eastgate, C; Ciaponi, M; McNeil, M; Filipe, H; Schwalowsky-Monks, O; Asis, G; Varcada, M; Davidson, BR; - view fewer (2019) Ward-based Goal-Directed Fluid Therapy (GDFT) in Acute Pancreatitis (GAP) trial: study protocol for a feasibility randomised controlled trial. BMJ Open , 9 (10) , Article e028783. 10.1136/bmjopen-2018-028783.

Gabrio, A; Mason, A; Baio, G; (2019) A full Bayesian model to handle structural ones and missingness in economic evaluations from individual-level data. Statistics in Medicine , 38 (8) pp. 1399-1420. 10.1002/sim.8045.

Garg, A; Vickerstaff, V; Nathwani, N; Garway-Heath, D; Konstantakopoulou, E; Ambler, G; Bunce, C; ... Gazzard, G; + view all Garg, A; Vickerstaff, V; Nathwani, N; Garway-Heath, D; Konstantakopoulou, E; Ambler, G; Bunce, C; Wormald, R; Barton, K; Gazzard, G; - view fewer (2019) Efficacy of Repeat Selective Laser Trabeculoplasty in Medication-Naïve Open Angle Glaucoma and Ocular Hypertension during the LiGHT Trial. Ophthalmology 10.1016/j.ophtha.2019.10.023. (In press).

Garg, A; Vickerstaff, V; Nathwani, N; Garway-Heath, D; Konstantakopoulou, E; Ambler, G; Bunce, C; ... LiGHT Trial Study Group; + view all Garg, A; Vickerstaff, V; Nathwani, N; Garway-Heath, D; Konstantakopoulou, E; Ambler, G; Bunce, C; Wormald, R; Barton, K; Gazzard, G; LiGHT Trial Study Group; - view fewer (2019) Primary Selective Laser Trabeculoplasty for Open Angle Glaucoma and Ocular Hypertension: Clinical Outcomes, Predictors of Success and Safety from the Laser in Glaucoma and Ocular Hypertension (LiGHT) Trial. Ophthalmology 10.1016/j.ophtha.2019.04.012. (In press).

Garrido-Varo, A; Garcia-Olmo, J; Fearn, T; (2019) A note on Mahalanobis and related distance measures in WinISI and The Unscrambler. Journal of Near Infrared Spectroscopy , 27 (4) 253 -258. 10.1177/0967033519848296.

Gazzard, G; Konstantakopoulou, E; Garway-Heath, D; Garg, A; Vickerstaff, V; Hunter, R; Ambler, G; ... LiGHT Trial Study Group; + view all Gazzard, G; Konstantakopoulou, E; Garway-Heath, D; Garg, A; Vickerstaff, V; Hunter, R; Ambler, G; Bunce, C; Wormald, R; Nathwani, N; Barton, K; Rubin, G; Buszewicz, M; LiGHT Trial Study Group; - view fewer (2019) Selective laser trabeculoplasty versus eye drops for first-line treatment of ocular hypertension and glaucoma (LiGHT): a multicentre randomised controlled trial. The Lancet 10.1016/S0140-6736(18)32213-X. (In press).

Gazzard, G; Konstantakopoulou, E; Garway-Heath, D; Garg, A; Vickerstaff, V; Hunter, R; Ambler, G; ... Buszewicz, M; + view all Gazzard, G; Konstantakopoulou, E; Garway-Heath, D; Garg, A; Vickerstaff, V; Hunter, R; Ambler, G; Bunce, C; Wormald, R; Nathwani, N; Barton, K; Rubin, G; Morris, S; Buszewicz, M; - view fewer (2019) Selective laser trabeculoplasty versus drops for newly diagnosed ocular hypertension and glaucoma: the LiGHT RCT. Health Technology Assessment , 23 (31) pp. 1-102. 10.3310/hta23310.

Geneletti, S; Ricciardi, F; O'Keeffe, AG; Baio, G; (2019) Bayesian modelling for binary outcomes in the regression discontinuity design. Journal of the Royal Statistical Society: Series A (Statistics in Society) , 182 (3) pp. 983-1002. 10.1111/rssa.12440.

Gessler, S; King, M; Lemma, A; Barber, J; Jones, L; Dunning, S; Madden, V; ... Lanceley, A; + view all Gessler, S; King, M; Lemma, A; Barber, J; Jones, L; Dunning, S; Madden, V; Pilling, S; Hunter, R; Fonagy, P; Summerville, K; MacDonald, N; Olaitan, A; Lanceley, A; - view fewer (2019) Stepped approach to improving sexual function after gynaecological cancer: the SAFFRON feasibility RCT. Health Technology Assessment , 23 (6) pp. 1-92. 10.3310/hta23060.

Griffin, J; (2019) Two part envelopes for rejection sampling of some completely random measures. Statistics and Probability Letters , 151 pp. 36-41. 10.1016/j.spl.2019.03.004.

Hajmohammadi, H; Marra, G; Heydecker, B; (2019) Data-driven models for microscopic vehicle emissions. Transportation Research Part D: Transport and Environment , 76 pp. 138-154. 10.1016/j.trd.2019.09.013.

Han, Q; Wang, T; Chatterjee, S; Samworth, RJ; (2019) Isotonic regression in general dimensions. Annals of Statistics , 47 (5) pp. 2440-2471. 10.1214/18-AOS1753.

Hatswell, AJ; Burns, D; Baio, G; Wadelin, F; (2019) Frequentist and Bayesian meta‐regression of health state utilities for multiple myeloma incorporating systematic review and analysis of individual patient data. Health Economics , 28 (5) pp. 653-665. 10.1002/hec.3871.

Hatswell, AJ; Porter, JK; (2019) Reducing Drug Wastage in Pharmaceuticals Dosed by Weight or Body Surface Areas by Optimising Vial Sizes. Applied Health Economics and Health Policy , 17 (3) pp. 391-397. 10.1007/s40258-018-0444-0.

Hatswell, AJ; Sullivan, WG; (2019) Creating historical controls using data from a previous line of treatment – Two non-standard approaches. Statistical Methods in Medical Research 10.1177/0962280219826609. (In press).

Heath, A; Manolopoulou, I; Baio, G; (2019) Estimating the Expected Value of Sample Information across Different Sample Sizes Using Moment Matching and Nonlinear Regression. Medical Decision Making 10.1177/0272989X19837983. (In press).

Hennig, C; Viroli, C; Anderlucci, L; (2019) Quantile-based clustering. Electronic Journal of Statistics , 13 (2) pp. 4849-4883. 10.1214/19-ejs1640.

Hennig, CM; Sauerbrei, W; (2019) Exploration of the variability of variable selection based on distances between bootstrap sample results. Advances in Data Analysis and Classification 10.1007/s11634-018-00351-6. (In press).

Hoogendijk, EO; Rijnhart, JJM; Skoog, J; Robitaille, A; van den Hout, A; Ferrucci, L; Huisman, M; ... Terrera, GM; + view all Hoogendijk, EO; Rijnhart, JJM; Skoog, J; Robitaille, A; van den Hout, A; Ferrucci, L; Huisman, M; Skoog, I; Piccinin, AM; Hofer, SM; Terrera, GM; - view fewer (2019) Gait speed as predictor of transition into cognitive impairment: Findings from three longitudinal studies on aging. Experimental Gerontology , Article 110783. 10.1016/j.exger.2019.110783.

Huang, J; Gómez-Dans, JL; Huang, H; Ma, H; Wu, Q; Lewis, PE; Liang, S; ... Xie, X; + view all Huang, J; Gómez-Dans, JL; Huang, H; Ma, H; Wu, Q; Lewis, PE; Liang, S; Chen, Z; Xue, JH; Wu, Y; Zhao, F; Wang, J; Xie, X; - view fewer (2019) Assimilation of remote sensing into crop growth models: Current status and perspectives. Agricultural and Forest Meteorology , 276 , Article 107609. 10.1016/j.agrformet.2019.06.008. (In press).

Incerti, D; Thom, H; Baio, G; Jansen, JP; (2019) R You Still Using Excel? The Advantages of Modern Software Tools for Health Technology Assessment. Value in Health , 22 (5) pp. 575-579. 10.1016/j.jval.2019.01.003.

Iorio, MD; Elliott, LT; Favaro, S; Adhikari, K; Teh, YW; (2019) Modeling population structure under hierarchical Dirichlet processes. Bayesian Analysis , 14 (2) pp. 313-339. 10.1214/17-BA1093.

Jensen, MP; Ziff, OJ; Banerjee, G; Ambler, G; Werring, DJ; (2019) The impact of selective serotonin reuptake inhibitors on the risk of intracranial haemorrhage: A systematic review and meta-analysis. European Stroke Journal , 4 (2) pp. 144-152. 10.1177/2396987319827211.

Jewson, S; Barnes, C; Cusack, S; Bellone, E; (2019) Adjusting catastrophe model ensembles using importance sampling, with application to damage estimation for varying levels of hurricane activity. Meteorological Applications , 27 (1) , Article e1839. 10.1002/met.1839.

Jivraj, S; Murray, ET; Norman, P; Nicholas, O; (2019) The impact of life course exposures to neighbourhood deprivation on health and well-being: a review of the long-term neighbourhood effects literature. European Journal of Public Health 10.1093/eurpub/ckz153. (In press).

Jivraj, S; Norman, P; Murray, E; Nicholas, O; (2019) Are there sensitive neighbourhood effect periods during the life course on midlife health and wellbeing? Health and Place , 57 pp. 147-156. 10.1016/j.healthplace.2019.03.009.

Johnson, S; Rains, LS; Marwaha, S; Strang, J; Craig, T; Weaver, T; McCrone, P; ... Hinton, M; + view all Johnson, S; Rains, LS; Marwaha, S; Strang, J; Craig, T; Weaver, T; McCrone, P; King, M; Fowler, D; Pilling, S; Marston, L; Omar, RZ; Craig, M; Spencer, J; Hinton, M; - view fewer (2019) A contingency management intervention to reduce cannabis use and time to relapse in early psychosis: the CIRCLE RCT. Health Technol Assessment , 23 (45) 10.3310/hta23450.

Király, FJ; Oberhauser, H; (2019) Kernels for sequentially ordered data. Journal of Machine Learning Research , 20 (31) pp. 1-45.

Klein, N; Kneib, T; Marra, G; Radice, R; Rokicki, S; McGovern, ME; (2019) Mixed binary‐continuous copula regression models with application to adverse birth outcomes. Statistics in Medicine , 38 (3) pp. 413-436. 10.1002/sim.7985.

Kyriakou, S; Kosmidis, I; Sartori, N; (2019) Median bias reduction in random-effects meta-analysis and meta-regression. Statistical Methods in Medical Research , 28 (6) pp. 1622-1636. 10.1177/0962280218771717.

Livingston, G; Barber, J; Marston, L; Stringer, A; Panca, M; Hunter, R; Cooper, C; ... Rapaport, P; + view all Livingston, G; Barber, J; Marston, L; Stringer, A; Panca, M; Hunter, R; Cooper, C; Laybourne, A; La Frenais, F; Reeves, S; Manela, M; Lambe, K; Banerjee, S; Rapaport, P; - view fewer (2019) Clinical and cost-effectiveness of the Managing Agitation and Raising Quality of Life (MARQUE) intervention for agitation in people with dementia in care homes: a single-blind, cluster-randomised controlled trial. The Lancet Psychiatry , 6 (4) pp. 293-304. 10.1016/S2215-0366(19)30045-8.

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Wilson, D; Ambler, G; Lee, K-J; Lim, J-S; Shiozawa, M; Koga, M; Li, L; ... Microbleeds International Collaborative Network, .; + view all Wilson, D; Ambler, G; Lee, K-J; Lim, J-S; Shiozawa, M; Koga, M; Li, L; Lovelock, C; Chabriat, H; Hennerici, M; Wong, YK; Mak, HKF; Prats-Sánchez, L; Martínez-Domeño, A; Inamura, S; Yoshifuji, K; Arsava, EM; Horstmann, S; Purrucker, J; Lam, BYK; Wong, A; Kim, YD; Song, T-J; Schrooten, M; Lemmens, R; Eppinger, S; Gattringer, T; Uysal, E; Tanriverdi, Z; Bornstein, NM; Assayag, EB; Hallevi, H; Tanaka, J; Hara, H; Coutts, SB; Hert, L; Polymeris, A; Seiffge, DJ; Lyrer, P; Algra, A; Kappelle, J; Al-Shahi Salman, R; Jäger, HR; Lip, GYH; Mattle, HP; Panos, LD; Mas, J-L; Legrand, L; Karayiannis, C; Phan, T; Gunkel, S; Christ, N; Abrigo, J; Leung, T; Chu, W; Chappell, F; Makin, S; Hayden, D; Williams, DJ; Kooi, ME; van Dam-Nolen, DHK; Barbato, C; Browning, S; Wiegertjes, K; Tuladhar, AM; Maaijwee, N; Guevarra, C; Yatawara, C; Mendyk, A-M; Delmaire, C; Köhler, S; van Oostenbrugge, R; Zhou, Y; Xu, C; Hilal, S; Gyanwali, B; Chen, C; Lou, M; Staals, J; Bordet, R; Kandiah, N; de Leeuw, F-E; Simister, R; van der Lugt, A; Kelly, PJ; Wardlaw, JM; Soo, Y; Fluri, F; Srikanth, V; Calvet, D; Jung, S; Kwa, VIH; Engelter, ST; Peters, N; Smith, EE; Yakushiji, Y; Orken, DN; Fazekas, F; Thijs, V; Heo, JH; Mok, V; Veltkamp, R; Ay, H; Imaizumi, T; Gomez-Anson, B; Lau, KK; Jouvent, E; Rothwell, PM; Toyoda, K; Bae, H-J; Marti-Fabregas, J; Werring, DJ; Microbleeds International Collaborative Network, .; - view fewer (2019) Cerebral microbleeds and stroke risk after ischaemic stroke or transient ischaemic attack: a pooled analysis of individual patient data from cohort studies. Lancet Neurology 10.1016/S1474-4422(19)30197-8. (In press).

Wilson, D; Ambler, G; Shakeshaft, C; Banerjee, G; Charidimou, A; Seiffge, D; White, M; ... CROMIS-2 collaborators, .; + view all Wilson, D; Ambler, G; Shakeshaft, C; Banerjee, G; Charidimou, A; Seiffge, D; White, M; Cohen, H; Yousry, T; Salman, R; Lip, GYH; Muir, K; Brown, MM; Jäger, HR; Werring, DJ; CROMIS-2 collaborators, .; - view fewer (2019) Potential missed opportunities to prevent ischaemic stroke: prospective multicentre cohort study of atrial fibrillation-associated ischaemic stroke and TIA. BMJ Open , 9 (7) , Article e028387. 10.1136/bmjopen-2018-028387.

Yakushiji, Y; Wilson, D; Ambler, G; Charidimou, A; Beiser, A; van Buchem, MA; DeCarli, C; ... Werring, DJ; + view all Yakushiji, Y; Wilson, D; Ambler, G; Charidimou, A; Beiser, A; van Buchem, MA; DeCarli, C; Ding, D; Gudnason, V; Hara, H; Imaizumi, T; Kohara, K; Kwon, H-M; Launer, LJ; Mok, V; Phan, T; Preis, SR; Romero, JR; Seshadri, S; Srikanth, V; Takashima, Y; Tsushima, Y; Wang, Z; Wolf, PA; Xiong, Y; Yamaguchi, S; Werring, DJ; - view fewer (2019) Distribution of cerebral microbleeds in the East and West: Individual participant meta-analysis. Neurology , 92 (10) e1086-e1097. 10.1212/WNL.0000000000007039.

Yang, W; Hui, C; Chen, Z; Xue, J-H; Liao, Q; (2019) FV-GAN: Finger Vein Representation Using Generative Adversarial Networks. IEEE Transactions on Information Forensics and Security , 14 (9) pp. 2512-2524. 10.1109/TIFS.2019.2902819.

Yang, W; Ji, W; Xue, JH; Ren, Y; Liao, Q; (2019) A hybrid finger identification pattern using Polarized depth-Weighted Binary Direction Coding. Neurocomputing , 325 pp. 260-268. 10.1016/j.neucom.2018.10.042.

Yang, W; Zhang, X; Tian, Y; Wang, W; Xue, J-H; Liao, Q; (2019) Deep Learning for Single Image Super-Resolution: A Brief Review. IEEE Transactions on Multimedia , 21 (12) 3106 -3121. 10.1109/tmm.2019.2919431.

Yang, W; Zhang, X; Tian, Y; Wang, W; Xue, J-H; Liao, Q; (2019) LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution. IEEE Transactions on Image Processing 10.1109/tip.2019.2940679.

Yang, X; Zhang, L; Gao, L; Xue, J-H; (2019) MSDH: Matched Subspace Detector with Heterogeneous Noise. Pattern Recognition Letters , 125 pp. 701-707. 10.1016/j.patrec.2019.07.014.

Zhang, M; Su, W; Fu, Y; Zhu, D; Xue, J-H; Huang, J; Wang, W; ... Yao, C; + view all Zhang, M; Su, W; Fu, Y; Zhu, D; Xue, J-H; Huang, J; Wang, W; Wu, J; Yao, C; - view fewer (2019) Super-resolution enhancement of Sentinel-2 image for retrieving LAI and chlorophyll content of summer corn. European Journal of Agronomy , 111 , Article 125938. 10.1016/j.eja.2019.125938.

Zhu, F; Ma, Z; Li, X; Chen, G; Chien, JT; Xue, JH; Guo, J; (2019) Image-text dual neural network with decision strategy for small-sample image classification. Neurocomputing , 328 pp. 182-188. 10.1016/j.neucom.2018.02.099.

Zhu, R; Dong, M; Xue, JH; (2019) Learning distance to subspace for the nearest subspace methods in high-dimensional data classification. Information Sciences , 481 pp. 69-80. 10.1016/j.ins.2018.12.061.

Zhu, R; Wang, Z; Sogi, N; Fukui, K; Xue, J-H; (2019) A Novel Separating Hyperplane Classification Framework to Unify Nearest-Class-Model Methods for High-Dimensional Data. IEEE Transactions on Neural Networks and Learning Systems 10.1109/tnnls.2019.2946967. (In press).

Ziff, OJ; Banerjee, G; Ambler, G; Werring, DJ; (2019) Statins and the risk of intracerebral haemorrhage in patients with stroke: systematic review and meta-analysis. Journal of Neurology, Neurosurgery, and Psychiatry , 90 (1) pp. 75-83. 10.1136/jnnp-2018-318483.

Book

Galbraith, AB; (2019) The Mayor of Ngaruawahia. Rex Galbraith: London, UK.

Book chapter

Gabrio, A; Baio, G; Manca, A; (2019) Bayesian Statistical Economic Evaluation Methods for Health Technology Assessment. In: Hamilton, JH, (ed.) Economic Theory and Mathematical Models. Oxford Research Encyclopedia of Economics and Finance: Oxford, UK.

Proceedings paper

Barp, A; Briol, F-X; Duncan, AB; Girolami, MA; Mackey, LW; (2019) Minimum Stein Discrepancy Estimators. In: Wallach, H and Larochelle, H and Beygelzimer, A and d'Alché-Buc, F and Fox, E and Garnett., R, (eds.) Proceedings of Advances in Neural Information Processing Systems 32 (NIPS 2019). NIPS: Massachusetts, USA.

Chen, WY; Barp, A; Briol, F-X; Gorham, J; Girolami, M; Mackey, L; Oates, CJ; (2019) Stein Point Markov Chain Monte Carlo. In: Chaudhuri, Kamalika and Salakhutdinov, Ruslan, (eds.) Proceedings of the 36th International Conference on Machine Learning. (pp. pp. 1011-1021). Proceedings of Machine Learning Research: Long Beach, California, USA.

Chen, Y; Tanaka, M; Siddiqui, A; (2019) A Leader-Follower Model for Tradable Performance-Based CO2 Emissions Standards. In: (pp. pp. 941-946). IEEE: Miyazaki, Japan.

Cunningham, N; Griffin, J; Wild, D; Lee, A; (2019) particleMDI: a Julia Package for the Integrative Cluster Analysis of Multiple Datasets. In: Proceedings of International Conference on Bayesian Statistics in Action BAYSM 2018: Bayesian Statistics and New Generations. (pp. pp. 65-74). Springer, Cham

Dellaportas, P; Titsias, M; (2019) Gradient-based Adaptive Markov Chain Monte Carlo. In: Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS 2019). 33rd Conference on Neural Information Processing Systems (NeurIPS 2019): Vancouver, Canada.

Diana, A; Griffin, J; Matechou, E; (2019) A Polya Tree Based Model for Unmarked Individuals in an Open Wildlife Population. In: Argiento, Raffaele and Durante, Daniele and Wade, Sara, (eds.) Proceedings of Bayesian Young Statisticians Meeting 2018 - BAYSM2018. (pp. pp. 3-11). Springer

Du, C; Lu, Z; Xue, JH; Liao, Q; (2019) A new approach to robust fundamental matrix estimation using an analytic objective function and adjusted gradient projection. In: Proceedings of the Eleventh International Conference on Digital Image Processing (ICDIP 2019). SPIE

Garrido-Varo, A; Riccioli, C; Fearn, T; De Pedro, E; Perez-Marin, D; (2019) Multivariate predictive models for the prediction of fatty acids in the EU high added-value "acorn Iberian pig ham" using a miniature near-infrared spectroscopy instrument. In: Kim, MS and Chin, BA and Cho, BK, (eds.) SENSING FOR AGRICULTURE AND FOOD QUALITY AND SAFETY XI. SPIE: Baltimore, MD, United States.

Han, X; Yu, J; Xue, JH; Sun, W; (2019) Spectral Super-resolution for RGB Images using Class-based BP Neural Networks. In: (Proceedings) 2018 Digital Image Computing: Techniques and Applications (DICTA). IEEE

Hirt, M; Dellaportas, P; (2019) Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers. In: Chaudhuri, K and Sugiyama, M, (eds.) Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics. Proceedings of Machine Learning Research (PMLR): Okinawa, Japan.

Hirt, M; Dellaportas, P; Durmus, A; (2019) Copula-like variational inference. In: Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS 2019). 33rd Conference on Neural Information Processing Systems (NeurIPS 2019): Vancouver, Canada.

Hou, G; Yang, Y; Xue, J-H; (2019) Residual Dilated Network with Attention for Image Blind Denoising. In: Karam, Lina J and Mei, Tao and Wu, Feng, (eds.) Proceedings of the 2019 IEEE International Conference on Multimedia and Expo (ICME). IEEE Xplore: New York, USA.

Kilbertus, N; Ball, P; Kusner, M; Weller, A; Silva, R; (2019) The Sensitivity of Counterfactual Fairness to Unmeasured Confounding. In: Globerson, A and Silva, R, (eds.) Proceedings of the 35th Uncertainty in Artificial Intelligence Conference (UAI 2019). AUAI Press: Tel Aviv, Israel.

Kusner, M; Russell, C; Loftus, J; Silva, R; (2019) Making Decisions that Reduce Discriminatory Impacts. In: Xing, E, (ed.) Proceedings of the 36th International Conference on Machine Learning (IML 2019). PMLR (Proceedings of Machine Learning Research): Long Beach, CA, USA.

Roa Vicens, J; Wang, Y; Mison, V; Gal, Y; Silva, R; (2019) Adversarial recovery of agent rewards from latent spaces of the limit order book. In: Proceedings of the Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness, and Privacy. NeurIPS 2019: Vancouver, Canada..

Sabetsarvestani, Z; Renna, F; Kiraly, F; Rodrigues, MRD; (2019) Source Separation in the Presence of Side Information: Necessary and Sufficient Conditions for Reliable De-Mixing. In: Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP). (pp. pp. 351-355). IEEE: Danvers (MA), USA.

Sadeghi, K; Rinaldo, A; (2019) Markov Properties of Discrete Determinantal Point Processes. In: Chaudhuri, K and Sugiyama, M, (eds.) 22nd International Conference On Artificial Intelligence And Statistics. Microtome Publishing: Naha, Japan.

Sun, Z; Lu, Z; Xue, J-H; Liao, Q; (2019) A New Object Scene Flow Algorithm Based on Support Points Selection and Robust Moving Object Proposal. In: Karam, Lina J and Mei, Tao and Wu, Feng, (eds.) Proceedings of the 2019 IEEE International Conference on Multimedia and Expo (ICME). IEEE Xplore

Xie, J; Ma, Z; Zhang, G; Xue, J-H; Tan, Z-H; Guo, J; (2019) Soft Dropout And Its Variational Bayes Approximation. In: Proceedings of the 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP). IEEE

Yuan, B; Lu, Z; Xue, J-H; Liao, Q; (2019) A New Approach to Automatic Clothing Matting from Mannequins. In: Karam, Lina J and Mei, Tao and Wu, Feng, (eds.) Proceedings of the IEEE International Conference on Multimedia and Expo (ICME) 2019. IEEE: New York, USA.

Zhang, Y; Lu, Z; Xue, J-H; Liao, Q; (2019) A New Rotation-Invariant Deep Network for 3D Object Recognition. In: Karam, Lina J and Mei, Tao and Wu, Feng, (eds.) Proceedings of the 2019 IEEE International Conference on Multimedia and Expo (ICME). IEEE

Report

Lewer, D; Tamne, S; Nicholas, O; Anderson, C; Story, A; (2019) Clinic-level variations in contact tracing outcomes: protocol for a cross-sectional study of variation and case-mix adjustment in London, UK. UCL Collaborative Centre for Inclusion Health: London, UK.

Veale, M; Delacroix, S; Olhede, S; Blacklaws, C; Adams Bhatti, S; (2019) Algorithms in the Criminal Justice System. (Technology and Law Public Policy Commission ). The Law Society of England and Wales: London, UK.

Working / discussion paper

Briol, F-X; Barp, A; Duncan, AB; Girolami, M; (2019) Statistical Inference for Generative Models with Maximum Mean Discrepancy. ArXiv: Ithaca, NY, USA.

John, C; Watson, D; Russ, D; Goldmann, K; Ehrenstein, M; Pitzalis, C; Lewis, M; John, C; Watson, D; Russ, D; Goldmann, K; Ehrenstein, M; Pitzalis, C; Lewis, M; Barnes, M; - view fewer (2019) M3C: Monte Carlo reference-based consensus clustering. BioRxiv: Cold Spring Harbor, NY, USA.

Kazakov, V; Király, FJ; (2019) Machine Learning Automation Toolbox (MLaut). arXiv.org: Ithaca (NY), USA.

Conference item

Pitkin, James; Manolopoulou, Ioanna; Ross, Gordon; (2019) Bayesian hierarchical modelling of sparse count processes in retail analytics. Presented at: S3RI Seminar, University of Southampton.

Thesis

Akhanli, Serhat Emre; (2019) Distance construction and clustering of football player performance data. Doctoral thesis (Ph.D), UCL (University College London).

Batool, Fatima; (2019) Optimum Average Silhouette Width Clustering Methods. Doctoral thesis (Ph.D), UCL (University College London).

Bohner, Gergő; (2019) Unsupervised methods for large-scale, cell-resolution neural data analysis. Doctoral thesis (Ph.D), UCL (University College London).

Carmo, Rafael Augusto Ferreira do; (2019) Models and Algorithms for Episodic Time-Series. Doctoral thesis (Ph.D), UCL (University College London).

Coullon, Jeremie; (2019) MCMC for a hyperbolic Bayesian inverse problem in motorway traffic flow. Doctoral thesis (Ph.D), UCL (University College London).

Dong, Minghzi; (2019) Metric Learning with Lipschitz Continuous Functions. Doctoral thesis (Ph.D), UCL (University College London).

Gabrio, Andrea; (2019) Full Bayesian Methods to Handle Missing Data in Health Economic Evaluation. Doctoral thesis (Ph.D), UCL (University College London).

Hoh, Tjun Yee; (2019) Bayesian inference and model selection for multi-dimensional diffusion process models with non-parametric drift and constant diffusivity. Doctoral thesis (Ph.D), UCL (University College London).

Ng, Yin Cheng; (2019) Learning patterns from sequential and network data using probabilistic models. Doctoral thesis (Ph.D), UCL (University College London).

Panos, Aristeidis; (2019) Extreme multi-label learning with Gaussian processes. Doctoral thesis (Ph.D), UCL (University College London).

Papamichalis, Marios; (2019) Sampling designs and robustness for the analysis of network data. Doctoral thesis (Ph.D), UCL (University College London).

Regli, Jean-Baptiste; (2019) Probabilistic methods for high dimensional signal processing. Doctoral thesis (Ph.D), UCL (University College London).

Tsipinakis, Nikolaos; (2019) Optimization Methods for Structured Machine Learning Problems. Doctoral thesis (Ph.D), UCL (University College London).

Vickerstaff, Victoria; (2019) The analysis of multiple correlated outcome measures in randomised controlled trials. Doctoral thesis (Ph.D), UCL (University College London).

This list was generated on Mon May 26 00:55:27 2025 BST.