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Number of items: 109.
A
Adame-Siles, JA;
Fearn, T;
Guerrero-Ginel, JE;
Garrido-Varo, A;
Maroto-Molina, F;
Perez-Marin, D;
(2016)
Near-infrared spectroscopy and geostatistical analysis for modeling spatial distribution of analytical constituents in bulk animal by-product protein meals.
Applied Spectroscopy
, 71
pp. 520-532.
10.1177/0003702816683958.
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B
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Baio, G;
Heath, A;
(2016)
When simple becomes complicated: why Excel should lose its place at the top table.
Global and regional health technology assessment
, 4
(1)
e3-e6.
10.5301/grhta.5000247.
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Barcella, W;
De Iorio, M;
Baio, G;
Malone-Lee, J;
(2016)
A bayesian nonparametric model for white blood cells in patients with lower urinary tract symptoms.
Electronic Journal of Statistics
, 10
(2)
pp. 3287-3309.
10.1214/16-EJS1177.
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Barcella, W;
Iorio, MD;
Baio, G;
Malone-Lee, J;
(2016)
Variable Selection in Covariate Dependent Random Partition Models: an Application to Urinary Tract Infection.
Statistics in Medicine
, 35
(8)
pp. 1373-1389.
10.1002/sim.6786.
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Bartlett, TE;
Chindera, K;
McDermott, J;
Breeze, CE;
Cooke, WR;
Jones, A;
Reisel, D;
... Widschwendter, M; + view all
(2016)
Epigenetic reprogramming of fallopian tube fimbriae in BRCA mutation carriers defines early ovarian cancer evolution.
Nature Communications
, 7
, Article ARTN 116. 10.1038/ncomms11620.
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Bartlett, TE;
Sykulski, AM;
Olhede, SC;
Lilly, JM;
Early, JJ;
(2016)
A Power Variance Test for Nonstationarity in Complex-Valued Signals.
In:
Machine Learning and Applications (ICMLA), 2015 IEEE 14th International Conference on.
(pp. pp. 911-916).
IEEE
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Bartlett, TE;
Zaikin, A;
(2016)
Detection of epigenomic network community oncomarkers.
The Annals of Applied Statistics
, 10
(3)
pp. 1373-1396.
10.1214/16-AOAS939.
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Beck, J;
Guillas, S;
(2016)
Sequential Design with Mutual Information for Computer Experiments (MICE): Emulation of a Tsunami Model.
SIAM/ASA Journal on Uncertainty Quantification
, 4
(1)
pp. 739-766.
10.1137/140989613.
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Beskos, A;
Jasra, A;
Kantas, N;
Thiery, A;
(2016)
On the convergence of adaptive sequential Monte Carlo methods.
Annals of Applied Probability
, 26
(2)
pp. 1111-1146.
10.1214/15-AAP1113.
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Blythe, DAJ;
Kiraly, FJ;
(2016)
Prediction and Quantification of Individual Athletic Performance of Runners.
PLOS ONE
, 11
(6)
10.1371/journal.pone.0157257.
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Bohner, G;
Sahani, M;
(2016)
Convolutional higher order matching pursuit.
In:
Proceedings of MLSP2016.
IEEE
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Bottomley, C;
Isham, V;
Vivas-Martinez, S;
Kuesel, AC;
Attah, SK;
Opoku, NO;
Lustigman, S;
... Basanez, M-G; + view all
(2016)
Modelling Neglected Tropical Diseases diagnostics: the sensitivity of skin snips for Onchocerca volvulus in near elimination and surveillance settings.
Parasites and Vectors
, 9
(343)
10.1186/s13071-016-1605-3.
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Briol, FX;
Cockayne, J;
Teymur, O;
(2016)
Contributed discussion on article by Chkrebtii, Campbell, Calderhead, and Girolami.
Bayesian Analysis
, 11
(4)
pp. 1285-1293.
10.1214/16-BA1017A.
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C
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Campanilho-Marques, R;
Almeida, B;
Deakin, C;
Arnold, K;
Gallot, N;
de Iorio, M;
Nistala, K;
... Juvenile Dermatomyositis Research Group, .; + view all
(2016)
Comparison of the Utility and Validity of Three Scoring Tools to Measure Skin Involvement in Patients With Juvenile Dermatomyositis.
Arthritis Care & Research
, 68
(10)
pp. 1514-1521.
10.1002/acr.22867.
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Capone, A;
Cicchetti, A;
Mennini, FS;
Marcellusi, A;
Baio, G;
Favato, G;
(2016)
Health Data Entanglement and artificial intelligence-based analysis: a brand new methodology to improve the effectiveness of healthcare services.
La Clinica Terapeutica
, 167
(5)
e102-e111.
10.7417/CT.2016.1952.
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Chang, P;
Fabrizi, L;
Olhede, S;
Fitzgerald, M;
(2016)
The Development of Nociceptive Network Activity in the Somatosensory Cortex of Freely Moving Rat Pups.
Cerebral Cortex
, 26
(12)
pp. 4513-4523.
10.1093/cercor/bhw330.
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Chen, H;
Wang, G;
Xue, J-H;
He, L;
(2016)
A Novel Hierarchical Framework for Human Action Recognition.
Pattern Recognition
, 55
pp. 148-159.
10.1016/j.patcog.2016.01.020.
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Chen, Y;
Tanaka, M;
Siddiqui, AS;
(2016)
Tradable Performance-Based CO2 Emissions Standards: Walking on Thin Ice?
In:
Energy: Expectations and Uncertainty: 39th International Conference Proceedings of the International Association for Energy Economics.
International Association for Energy Economics
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Ciurtin, C;
Wyszynski, K;
Clarke, R;
Mouyis, M;
Manson, J;
Marra, G;
(2016)
Ultrasound-detected subclinical inflammation was better reflected by the disease activity score (DAS-28) in patients with suspicion of inflammatory arthritis compared to established rheumatoid arthritis.
Clinical Rheumatology
, 35
(10)
pp. 2411-2419.
10.1007/s10067-016-3326-6.
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Cooper, C;
Barber, J;
Griffin, M;
Rapaport, P;
Livingston, G;
(2016)
Effectiveness of START psychological intervention in reducing abuse by dementia family carers: randomized controlled trial.
International Psychogeriatrics
, 28
(6)
pp. 881-887.
10.1017/S1041610215002033.
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Coretto, P;
Hennig, C;
(2016)
Robust Improper Maximum Likelihood: Tuning, Computation, and a Comparison With Other Methods for Robust Gaussian Clustering.
Journal of the American Statistical Association
, 111
(516)
pp. 1648-1659.
10.1080/01621459.2015.1100996.
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D
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Dabo-Niang, S;
Guillas, S;
Ternynck, C;
(2016)
Efficiency in multivariate functional nonparametric models with autoregressive errors.
Journal of Multivariate Analysis
, 147
pp. 168-182.
10.1016/j.jmva.2016.01.007.
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Ding, T;
Baio, G;
Hardiman, PJ;
Petersen, I;
Sammon, C;
(2016)
Diagnosis and management of polycystic ovary syndrome in the UK (2004-2014): a retrospective cohort study.
BMJ Open
, 6
(7)
, Article e012461. 10.1136/bmjopen-2016-012461.
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Donat, F;
(2016)
Discrete responses in penalized Generalized Linear Models.
Doctoral thesis , UCL (University College London).
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F
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Fabrizi, L;
Verriotis, M;
Williams, G;
Lee, A;
Meek, J;
Olhede, S;
Fitzgerald, M;
(2016)
Encoding of mechanical nociception differs in the adult and infant brain.
Scientific Reports
, 6
, Article 28642. 10.1038/srep28642.
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Franke, B;
(2016)
Understanding Community Structure for Large Networks.
Doctoral thesis , UCL (University College London).
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G
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Guo, Y;
Ding, X;
Liu, C;
Xue, J-H;
(2016)
Sufficient Canonical Correlation Analysis.
IEEE Transactions on Image Processing
, 25
(6)
pp. 2610-2619.
10.1109/TIP.2016.2551374.
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H
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Hahn, PR;
Murray, JS;
Manolopoulou, I;
(2016)
A Bayesian partial identification approach to inferring the prevalence of accounting misconduct.
Journal of the American Statistical Association
, 111
(513)
pp. 14-26.
10.1080/01621459.2015.1084307.
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Hatswell, AJ;
Baio, G;
Berlin, JA;
Irs, A;
Freemantle, N;
(2016)
Regulatory approval of pharmaceuticals without a randomised controlled study: analysis of EMA and FDA approvals 1999-2014.
BMJ Open
, 6
(6)
, Article e011666. 10.1136/bmjopen-2016-011666.
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Hatswell, AJ;
Freemantle, N;
Baio, G;
(2016)
Economic Evaluations of Pharmaceuticals Granted a Marketing Authorisation Without the Results of Randomised Trials: A Systematic Review and Taxonomy.
PharmacoEconomics
, 35
(2)
pp. 163-176.
10.1007/s40273-016-0460-6.
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Hatswell, AJ;
Vegter, S;
(2016)
Measuring quality of life in opioid-induced constipation: mapping EQ-5D-3 L and PAC-QOL.
Health Economics Review
, 6
, Article 14. 10.1186/s13561-016-0091-9.
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He, L;
Wang, G;
Liao, Q;
Xue, J-H;
(2016)
Latent variable pictorial structure for human pose estimation on depth images.
Neurocomputing
, 203
pp. 52-61.
10.1016/j.neucom.2016.04.009.
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Heath, A;
Manolopoulou, I;
Baio, G;
(2016)
Estimating the expected value of partial perfect information in health economic evaluations using integrated nested Laplace approximation.
Statistics in Medicine
, 35
(23)
pp. 4264-4280.
10.1002/sim.6983.
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Hennig, CM;
Viroli, C;
(2016)
Quantile-based classifiers.
Biometrika
, 103
(2)
pp. 435-446.
10.1093/biomet/asw015.
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I
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Ioannidis, K;
Chamberlain, SR;
Treder, MS;
Kiraly, F;
Leppink, EW;
Redden, SA;
Stein, DJ;
... Grant, JE; + view all
(2016)
Problematic internet use (PIU): Associations with the impulsive-compulsive spectrum. An application of machine learning in psychiatry.
Journal of Psychiatric Research
, 83
pp. 94-102.
10.1016/j.jpsychires.2016.08.010.
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J
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Jiang, W;
Xue, J-H;
Yu, W;
(2016)
What is the probability of replicating a statistically significant association in genome-wide association studies?
Briefings in Bioinformatics
, 18
(6)
pp. 928-939.
10.1093/bib/bbw091.
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Johnson, S;
Rains, LS;
Marwaha, S;
Strang, J;
Craig, T;
Weaver, T;
McCrone, P;
... Hinton, M; + view all
(2016)
A randomised controlled trial of the clinical and cost-effectiveness of a contingency management intervention compared to treatment as usual for reduction of cannabis use and of relapse in early psychosis (CIRCLE): a study protocol for a randomised controlled trial.
Trials
, 17
, Article 515. 10.1186/s13063-016-1620-x.
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K
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Kampakis, S;
(2016)
Predictive modelling of football injuries.
Doctoral thesis , UCL (University College London).
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Killaspy, H;
Marston, L;
Green, N;
Harrison, I;
Lean, M;
Holloway, F;
Craig, T;
... King, M; + view all
(2016)
Clinical outcomes and costs for people with complex psychosis; a naturalistic prospective cohort study of mental health rehabilitation service users in England.
BMC Psychiatry
, 16
, Article 95. 10.1186/s12888-016-0797-6.
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Kosmidis, I;
Karlis, D;
(2016)
Model-based clustering using copulas with applications.
Statistics and Computing
, 26
(5)
pp. 1079-1099.
10.1007/s11222-015-9590-5.
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Kotti, E;
Manolopoulou, I;
Fearn, T;
(2016)
Hierarchical Bayesian variable selection in the probit model with mixture of nominal and ordinal responses.
In:
(Proceedings) 2016 IEEE Workshop on Statistical Signal Processing (SSP).
IEEE
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L
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Liang, Y;
Ding, X;
Liu, C;
Xue, J-H;
(2016)
Combining multiple biometric traits with an order-preserving score fusion algorithm.
Neurocomputing
, 171
pp. 252-261.
10.1016/j.neucom.2015.06.039.
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Liu, X;
(2016)
Computationally efficient statistical approaches for spatial modelling and high-dimensional emulation of tsunami models.
Doctoral thesis , UCL (University College London).
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Liu, X;
Guillas, S;
Lai, M-J;
(2016)
Efficient spatial modelling using the SPDE approach with bivariate splines.
Journal of Computational and Graphical Statistics
, 25
(4)
pp. 1176-1194.
10.1080/10618600.2015.1081597.
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Livingstone, SJ;
(2016)
Some contributions to the theory and methodology of Markov chain Monte Carlo.
Doctoral thesis , UCL (University College London).
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Lloyd-Evans, B;
Bond, GR;
Ruud, T;
Ivanecka, A;
Gray, R;
Osborn, D;
Nolan, F;
... Johnson, S; + view all
(2016)
Development of a measure of model fidelity for mental health Crisis Resolution Teams.
BMC Psychiatry
, 16
, Article 427. 10.1186/s12888-016-1139-4.
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Lloyd-Evans, B;
Fullarton, K;
Lamb, D;
Johnston, E;
Onyett, S;
Osborn, D;
Ambler, G;
... Johnson, S; + view all
(2016)
The CORE Service Improvement Programme for mental health crisis resolution teams: study protocol for a cluster-randomised controlled trial.
Trials
, 17
(158)
pp. 1-12.
10.1186/s13063-016-1283-7.
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Low, J;
Serfaty, M;
Davis, S;
Vickerstaff, V;
Gola, A;
Omar, RZ;
King, M;
... Jones, L; + view all
(2016)
Acceptance and commitment therapy for adults with advanced cancer (CanACT): study protocol for a feasibility randomised controlled trial.
Trials
, 17
(1)
, Article 77. 10.1186/s13063-016-1169-8.
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M
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Ma, Z;
Xue, J-H;
Leijon, A;
Tan, Z-H;
Yang, Z;
Guo, J;
(2016)
Decorrelation of Neutral Vector Variables: Theory and Applications.
IEEE Transactions on Neural Networks and Learning Systems
10.1109/TNNLS.2016.2616445.
(In press).
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Mahgoub, H;
Bardon, T;
Lichtblau, D;
Fearn, T;
Strlič, M;
(2016)
Material properties of Islamic paper.
Heritage Science
, 4
, Article 34. 10.1186/s40494-016-0103-4.
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Maqsood, T;
Edwards, M;
Ioannou, I;
Kosmidis, I;
Rossetto, T;
Corby, N;
(2016)
Seismic vulnerability functions for Australian buildings by using GEM empirical vulnerability assessment guidelines.
Natural Hazards
, 80
(3)
pp. 1625-1650.
10.1007/s11069-015-2042-x.
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Mariconti, E;
Onaolapo, J;
Ross, G;
Stringhini, G;
(2016)
What's your major threat? On the differences between the network behavior of targeted and commodity malware.
[Dataset].
UCL Computer Science: London, UK.
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Mariconti, E;
Onaolapo, J;
Ross, G;
Stringhini, G;
(2016)
What's your major threat? On the differences between the network behavior of targeted and commodity malware.
In:
Proceedings of the 2016 11th International Conference on Availability, Reliability and Security (ARES).
(pp. pp. 599-608).
IEEE: Salzburg, Austria.
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Marra, G;
Calabrese, R;
Osmetti, SA;
(2016)
Bankruptcy prediction of small and medium enterprises using a flexible binary generalized extreme value model.
Journal of the Operational Research Society
, 67
(4)
pp. 604-615.
10.1057/jors.2015.64.
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Marra, G;
Radice, R;
Barnighausen, T;
Wood, SN;
McGovern, ME;
(2016)
A Simultaneous Equation Approach to Estimating HIV Prevalence with Non-Ignorable Missing Responses.
Journal of the American Statistical Association
, 112
(518)
pp. 484-496.
10.1080/01621459.2016.1224713.
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Marra, G;
Wojtys, M;
Radice, R;
(2016)
Copula Regression Spline Sample Selection Models: The R Package SemiParSampleSel.
Journal of Statistical Software
, 71
(6)
10.18637/jss.v071.i06.
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Mateen, BA;
Bussas, M;
Doogan, C;
Waller, D;
Saverino, A;
Király, FJ;
Playford, ED;
(2016)
Machine Learning in Falls Prediction; A cognition-based predictor of falls for the acute neurological in-patient population.
CoRR
, 2016
, Article abs/1607.07751.
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Mateen, BA;
Király, FJ;
(2016)
Falling in the elderly; a clarification of results.
European Journal of Internal Medicine
, 37
, Article e13. 10.1016/j.ejim.2016.06.017.
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Maurovich-Horvat, L;
De Reyck, B;
Rocha, P;
Siddiqui, AS;
(2016)
Optimal Selection of Distributed Energy Resources under Uncertainty and Risk Aversion.
IEEE Transactions on Engineering Management
, 63
(4)
pp. 462-474.
10.1109/TEM.2016.2592805.
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Maurovich-Horvat, L;
Rocha, P;
Siddiqui, AS;
(2016)
Optimal Operation of Combined Heat and Power under Uncertainty and Risk Aversion.
Energy and Buildings
, 110
pp. 415-425.
10.1016/j.enbuild.2015.11.009.
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McGregor, LM;
Bonello, B;
Kerrison, RS;
Nickerson, C;
Baio, G;
Berkman, L;
Rees, CJ;
... von Wagner, C; + view all
(2016)
Uptake of Bowel Scope (Flexible Sigmoidoscopy) Screening in the English National Programme: the first 14 months.
Journal of Medical Screening
, 23
(2)
pp. 77-82.
10.1177/0969141315604659.
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Moore, K;
Candy, B;
Davis, S;
Gola, A;
Harrington, C;
Kupeli, N;
Vickerstaff, V;
... Sampson, E; + view all
(2016)
Evidence from the development and testing of compassion, a theory-based complex intervention for a model of integrated care for people with advanced dementia toward the end of life.
Presented at: 2016 Integrated Palliative Care Symposium, Brussels, Belgium.
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Muniz-Terrera, G;
Hout, AVD;
Rigby, R;
Stasinopoulos, D;
(2016)
Analysing cognitive test data: Distributions and non-parametric random effects.
Statistical Methods in Medical Research
, 25
(2)
pp. 741-753.
10.1177/0962280212465500.
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Muszbek, N;
Kadambi, A;
Lanitis, T;
Hatswell, AJ;
Patel, D;
Wang, L;
Singer, JW;
(2016)
The Cost-effectiveness of Pixantrone for Third/Fourth-line Treatment of Aggressive Non-Hodgkin's Lymphoma.
Clinical Therapeutics
, 38
(3)
pp. 503-515.
10.1016/j.clinthera.2016.01.004.
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N
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Ng, YC;
Chilinski, P;
Silva, R;
(2016)
Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages.
In:
Proceedings of the 29th Conference on Neural Information Processing Systems (NIPS 2016).
Neural Information Processing Systems Foundation: Barcelona, Spain.
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Northrop, PJ;
Attalides, N;
(2016)
Posterior propriety in Bayesian extreme value analyses using reference priors.
Statistica Sinica
, 26
(2)
pp. 721-743.
10.5705/ss.2014.034.
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Nurinsiyah, AS;
Fauzia, H;
Hennig, C;
Hausdorf, B;
(2016)
Native and introduced land snail species as ecological indicators in different land use types in Java.
Ecological Indicators
, 70
(C)
pp. 557-565.
10.1016/j.ecolind.2016.05.013.
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O
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O'Keeffe, AG;
Baio, G;
(2016)
Approaches to the Estimation of the Local Average Treatment Effect in a Regression Discontinuity Design.
Scandinavian Journal of Statistics: theory and applications
, 43
(4)
pp. 978-995.
10.1111/sjos.12224.
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O'Keeffe, AG;
Farewell, DM;
Tom, BDM;
Farewell, VT;
(2016)
Multiple imputation of missing composite outcomes in longitudinal data.
Statistics in Biosciences
, 8
(2)
pp. 310-332.
10.1007/s12561-016-9146-z.
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O'Keeffe, AG;
Nazareth, I;
Petersen, I;
(2016)
Time trends in the prescription of statins for the primary prevention of cardiovascular disease in the United Kingdom: A cohort study using The Health Improvement Network (THIN) primary care data.
Clinical Epidemiology
, 8
pp. 123-132.
10.2147/CLEP.S104258.
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O'Mahony, C;
Jichi, F;
Monserrat, L;
Ortiz-Genga, M;
Anastasakis, A;
Rapezzi, C;
Biagini, E;
... Elliott, PM; + view all
(2016)
Inverted U-Shaped Relation Between the Risk of Sudden Cardiac Death and Maximal Left Ventricular Wall Thickness in Hypertrophic Cardiomyopathy.
Circulation: Arrhythmia and Electrophysiology
, 9
(6)
, Article e003818. 10.1161/CIRCEP.115.003818.
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Osborn, D;
Burton, A;
Walters, K;
Nazareth, I;
Heinkel, S;
Atkins, L;
Blackburn, R;
... Robinson, V; + view all
(2016)
Evaluating the clinical and cost effectiveness of a behaviour change intervention for lowering cardiovascular disease risk for people with severe mental illnesses in primary care (PRIMROSE study): study protocol for a cluster randomised controlled trial.
Trials
, 17
, Article 80. 10.1186/s13063-016-1176-9.
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P
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Parsons, S;
(2016)
Approximation methods for latent variable models.
Doctoral thesis , UCL (University College London).
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Pavlou, M;
Ambler, G;
Seaman, S;
De Iorio, M;
Omar, RZ;
(2016)
Review and evaluation of penalised regression methods for risk prediction in low-dimensional data with few events.
Statistics in Medicine
, 35
(7)
pp. 1159-1177.
10.1002/sim.6782.
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Pavlou, M;
Ambler, G;
Seaman, SR;
Guttmann, O;
Elliott, P;
King, M;
Omar, RZ;
(2016)
How to develop a more accurate risk prediction model when there are few events [Correction].
BMJ - British Medical Journal
, 353
, Article i3235. 10.1136/bmj.i3235.
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Pinchi, V;
De Luca, F;
Focardi, M;
Pradella, F;
Vitale, G;
Ricciardi, F;
Norelli, G-A;
(2016)
Combining dental and skeletal evidence in age classification: Pilot study in a sample of Italian sub-adults.
Legal Medicine
, 20
pp. 75-79.
10.1016/j.legalmed.2016.04.009.
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Pinotti, L;
Ottoboni, M;
Caprarulo, V;
Giromini, C;
Gottardo, D;
Cheli, F;
Fearn, T;
(2016)
Microscopy in combination with image analysis for characterization of fishmeal material in aquafeed.
Animal Feed Science and Technology
, 215
pp. 156-164.
10.1016/j.anifeedsci.2016.02.009.
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Pyrgelis, A;
De Cristofaro, E;
Ross, G;
(2016)
Privacy-Friendly Mobility Analytics using Aggregate Location Data.
In: Ali, M and Newsam, S and Rivada, S and Reinz, M and Trajcevski, G, (eds.)
GIS '16: Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems.
Association for Computing Machinery (ACM): New York, USA.
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Q
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Quas, A;
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