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Number of items: 66.
Article
Aeberhard, W;
Cantoni, E;
Marra, G;
Radice, R;
(2021)
Robust fitting for generalized additive models for location, scale and shape.
Statistics and Computing
, 31
, Article 11. 10.1007/s11222-020-09979-x.
|
Braumoeller, BF;
Marra, G;
Radice, R;
Bradshaw, A;
(2018)
Flexible Causal Inference for Political Science.
Political Analysis
, 26
(1)
pp. 54-71.
10.1017/pan.2017.29.
|
Bussing, Anderson;
Marra, Giampiero;
Fan, Daping;
Shinohara, Russell;
Tu, Danni;
Ho, Yen-Yi;
(2025)
scCOSMIX: A Mixed-Effects Framework for Differential Coexpression and Transcriptional Interactions Modeling in Single-Cell RNA-Seq.
STATISTICS IN MEDICINE
, 44
(18-19)
, Article e70213. 10.1002/sim.70213.
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Cárdenas-Hurtado, CA;
Moustaki, I;
Chen, Y;
Marra, G;
(2025)
Generalized Latent Variable Models for Location, Scale, and Shape parameters.
Psychometrika
, 90
(3)
pp. 932-956.
10.1017/psy.2025.7.
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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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Dettoni, R;
Marra, G;
Radice, R;
(2020)
Generalized Link-Based Additive Survival Models with Informative Censoring.
Journal of Computational and Graphical Statistics
, 29
(3)
pp. 503-512.
10.1080/10618600.2020.1724544.
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Donat, F;
Marra, G;
(2018)
Simultaneous equation penalized likelihood estimation of vehicle accident injury severity.
Journal of the Royal Statistical Society: Series C (Applied Statistics)
, 67
(4)
pp. 979-1001.
10.1111/rssc.12267.
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Donat, F;
Marra, G;
(2017)
Semi-parametric bivariate polychotomous ordinal regression.
Statistics and Computing
, 27
(1)
pp. 283-299.
10.1007/s11222-015-9622-1.
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Dorn, Franziska;
Radice, Rosalba;
Marra, Giampiero;
Kneib, Thomas;
(2023)
A bivariate relative poverty line for leisure time and income poverty: Detecting intersectional differences using distributional copulas.
Review of Income and Wealth
10.1111/roiw.12635.
(In press).
|
Eletti, Alessia;
Marra, Giampiero;
Radice, Rosalba;
(2023)
A spline-based framework for the flexible modelling of continuously observed multistate survival processes.
Statistical Modelling
10.1177/1471082X231176120.
(In press).
|
Espasandín-Domínguez, J;
Cadarso-Suárez, C;
Kneib, T;
Marra, G;
Klein, N;
Radice, R;
Lado-Baleato, O;
... Gude, F; + view all
(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.
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Filippou, P;
Marra, G;
Radice, R;
Zimmer, D;
(2022)
Estimating the Impact of Medical Care Usage on Work Absenteeism by a Trivariate Probit Model with Two Binary Endogenous Explanatory Variables.
AStA Advances in Statistical Analysis
10.1007/s10182-022-00464-6.
(In press).
|
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.
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Filippou, P;
Marra, G;
Radice, R;
(2017)
Penalized likelihood estimation of a trivariate additive probit model.
Biostatistics
, 18
(3)
pp. 569-585.
10.1093/biostatistics/kxx008.
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Geminiani, E;
Marra, G;
Moustaki, I;
(2021)
Single- and Multiple-Group Penalized Factor Analysis: A Trust-Region Algorithm Approach with Integrated Automatic Multiple Tuning Parameter Selection.
Psychometrika
, 86
(1)
pp. 65-95.
10.1007/s11336-021-09751-8.
|
Gomes, M;
Radice, R;
Brenes, JC;
Marra, G;
(2018)
Copula selection models for non‐Gaussian outcomes that are missing not at random.
Statistics in Medicine
10.1002/sim.7988.
(In press).
|
Hagemann, Niklas;
Marra, Giampiero;
Bretz, Frank;
Möllenhoff, Kathrin;
(2024)
Testing for similarity of multivariate mixed outcomes using generalized joint regression models with application to efficacy-toxicity responses.
Biometrics
, 80
(3)
, Article ujae077. 10.1093/biomtc/ujae077.
|
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.
|
Harling, G;
Moyo, S;
McGovern, ME;
Mabaso, M;
Marra, G;
Bärnighausen, T;
Rehle, T;
(2017)
National South African HIV prevalence estimates robust despite substantial test non-participation.
South African Medical Journal
, 107
(7)
pp. 590-594.
10.7196/SAMJ.2017.v107i7.11207.
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Ieva, F;
Marra, G;
Paganoni, AM;
Radice, R;
(2014)
A Semiparametric Bivariate Probit Model for Joint Modeling of Outcomes in STEMI Patients.
Computational and Mathematical Methods in Medicine
, 2014
, Article 240435. 10.1155/2014/240435.
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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.
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Marincioni, V;
Marra, G;
Altamirano-Medina, H;
(2018)
Development of predictive models for the probabilistic moisture risk assessment of internal wall insulation.
Building and Environment
, 137
pp. 257-267.
10.1016/j.buildenv.2018.04.001.
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Marra, G;
Farcomeni, A;
Radice, R;
(2021)
Link-based survival additive models under mixed censoring to assess risks of hospital-acquired infections.
Computational Statistics & Data Analysis
, 155
, Article 107092. 10.1016/j.csda.2020.107092.
|
Marra, G;
Kneib, T;
Donat, F;
Maike, H;
(2021)
Beyond unidimensional poverty analysis using distributional copula models for mixed ordered-continuous outcomes.
Journal of the Royal Statistical Society: Series C (Applied Statistics)
, 70
(5)
pp. 1365-1390.
10.1111/rssc.12517.
|
Marra, G;
Radice, R;
Zimmer, D;
(2021)
Did the ACA's "guaranteed issue" provision cause adverse selection into nongroup insurance? Analysis using a copula-based hurdle model.
Health Economics
, 30
(9)
pp. 2246-2263.
10.1002/hec.4372.
|
Marra, Giampiero;
Fasiolo, Matteo;
Radice, Rosalba;
Winkelmann, Rainer;
(2023)
A flexible copula regression model with Bernoulli and Tweedie margins for estimating the effect of spending on mental health.
Health Economics
10.1002/hec.4668.
(In press).
|
|
Marra, Giampiero;
Radice, Rosalba;
(2025)
Modelling physician visit frequency and costs using a copula additive distributional regression approach.
Journal of the Royal Statistical Society Series C: Applied Statistics
, Article qlaf050. 10.1093/jrsssc/qlaf050.
(In press).
|
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.
|
Marra, G;
Kneib, T;
Radice, R;
Groll, A;
Van der Wurp, H;
(2020)
Generalised Joint Regression for Count Data - A Penalty Extension for Competetive Settings.
Statistics and Computing
, 30
pp. 1419-1432.
10.1007/s11222-020-09953-7.
|
Marra, G;
Papageorgiou, G;
Radice, R;
(2013)
ESTIMATION OF A SEMIPARAMETRIC RECURSIVE BIVARIATE PROBIT MODEL WITH NONPARAMETRIC MIXING.
AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS
, 55
(3)
321 - 342.
10.1111/anzs.12043.
|
Marra, G;
Radice, R;
(2020)
Copula Link-Based Additive Models for Right-Censored Event Time Data.
Journal of the American Statistical Association
, 115
(530)
pp. 886-895.
10.1080/01621459.2019.1593178.
|
Marra, G;
Radice, R;
(2017)
Joint regression modeling framework for analyzing bivariate binary data in R.
Dependence Modeling
, 5
(1)
pp. 268-294.
10.1515/demo-2017-0016.
|
Marra, G;
Radice, R;
(2017)
Bivariate copula additive models for location, scale and shape.
Computational Statistics and Data Analysis
, 112
pp. 99-113.
10.1016/j.csda.2017.03.004.
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Marra, G;
Radice, R;
(2014)
Flexible Bivariate Binary Models for Estimating the Efficacy of Phototherapy for Newborns with Jaundice.
International Journal of Statistics and Probability
, 4
(1)
pp. 46-58.
10.5539/ijsp.v4n1p46.
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Marra, G;
Radice, R;
(2013)
Estimation of a regression spline sample selection model.
Computational Statistics & Data Analysis
, 61
158 - 173.
10.1016/j.csda.2012.12.010.
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Marra, G;
Radice, R;
(2013)
A penalized likelihood estimation approach to semiparametric sample selection binary response modeling.
Electronic Journal Of Statistics
, 7
1432 - 1455.
10.1214/13-EJS814.
|
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.
|
Marra, G;
Radice, R;
Filippou, P;
(2017)
Regression Spline Bivariate Probit Models: A Practical Approach to Testing for Exogeneity.
Communications in Statistics - Simulation and Computation
, 46
(3)
10.1080/03610918.2015.1041974.
|
Marra, G;
Radice, R;
Missiroli, S;
(2014)
Testing the hypothesis of absence of unobserved confounding in semiparametric bivariate probit models.
COMPUTATIONAL STATISTICS
, 29
(3-4)
715 - 741.
10.1007/s00180-013-0458-x.
|
Marra, G;
Radice, R;
Wojtys, M;
(2018)
Copula based generalized additive models for location, scale and shape with non-random sample selection.
Computational Statistics & Data Analysis
, 127
pp. 1-14.
10.1016/j.csda.2018.05.001.
|
Marra, G;
Radice, R;
Zimmer, DM;
(2020)
Estimating the binary endogenous effect of insurance on doctor visits by copula-based regression additive models.
Journal of the Royal Statistical Society: Series C (Applied Statistics)
10.1111/rssc.12419.
(In press).
|
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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McGovern, ME;
Bärnighausen, T;
Marra, G;
Radice, R;
(2015)
On the assumption of bivariate normality in selection models: a Copula approach applied to estimating HIV prevalence.
Epidemiology
, 26
(2)
pp. 229-237.
10.1097/EDE.0000000000000218.
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McGovern, ME;
Marra, G;
Radice, R;
Canning, D;
Newell, ML;
Bärnighausen, T;
(2015)
Adjusting HIV prevalence estimates for non-participation: an application to demographic surveillance.
Journal of the International AIDS Society
, 18
(1)
10.7448/IAS.18.1.19954.
|
Palma, AM;
Marra, G;
Bray, R;
Saito, S;
Awor, AC;
Jalloh, MF;
Kailembo, A;
... Harling, G; + view all
(2022)
Correcting for selection bias in HIV prevalence estimates: an application of sample selection models using data from population-based HIV surveys in seven sub-Saharan African countries.
Journal of the International AIDS Society
, 25
(8)
, Article e25954. 10.1002/jia2.25954.
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Palmer, E;
Post, B;
Klapaukh, R;
Marra, G;
MacCallum, NS;
Brealey, D;
Ercole, A;
... Harris, S; + view all
(2019)
The Association Between Supra-Physiologic Arterial Oxygen Levels and Mortality in Critically Ill Patients: A Multi-Centre Observational Cohort Study.
American Journal of Respiratory and Critical Care Medicine
, 200
(11)
pp. 1373-1380.
10.1164/rccm.201904-0849OC.
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Petti, D;
Eletti, A;
Marra, G;
Radice, R;
(2022)
Copula link-based additive models for bivariate time-to-event outcomes with general censoring scheme.
Computational Statistics and Data Analysis
, 175
, Article 107550. 10.1016/j.csda.2022.107550.
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Radice, R;
Marra, G;
Wojtyś, M;
(2016)
Copula regression spline models for binary outcomes.
Statistics and Computing
, 26
(5)
pp. 981-995.
10.1007/s11222-015-9581-6.
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Ranjbar, S;
Cantoni, E;
Chavez-Demoulin, V;
Marra, G;
Radice, R;
Jaton, K;
(2022)
Modelling the extremes of seasonal viruses and hospital congestion: The example of flu in a Swiss hospital.
Journal of the Royal Statistical Society. Series C: Applied Statistics
10.1111/rssc.12559.
(In press).
|
Van Den Hout, A;
Marra, G;
Machado, R;
(2021)
Penalised maximum likelihood estimation in multi-state models for interval-censored data.
Computational Statistics and Data Analysis
, 153
, Article 107057. 10.1016/j.csda.2020.107057.
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Wyszynski, Karol;
Marra, Giampiero;
(2018)
Sample selection models for count data in R.
Computational Statistics
, 33
pp. 1385-1412.
10.1007/s00180-017-0762-y.
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Yang, Shuyi;
Bussing, Anderson;
Marra, Giampiero;
Brinkmeier, Michelle L;
Camper, Sally A;
Davis, Shannon W;
Ho, Yen-Yi;
(2025)
Time-coexpress: temporal trajectory modeling of dynamic gene co-expression patterns using single-cell transcriptomics data.
BMC Bioinformatics
, 26
(1)
, Article 199. 10.1186/s12859-025-06218-w.
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Zanin, L;
Radice, R;
Marra, G;
(2015)
Modelling the impact of women's education on fertility in Malawi.
Journal of Population Economics
, 28
(1)
pp. 89-111.
10.1007/s00148-013-0502-8.
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Book
|
Marra, G;
Radice, R;
(2025)
Copula Additive Distributional Regression Using R.
Chapman and Hall/CRC: New York, NY, USA.
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Book chapter
|
Marra, Giampiero;
Radice, Rosalba;
(2025)
Core concepts in copula regression.
In:
Copula Additive Distributional Regression Using R.
Chapman and Hall/CRC: New York, NY, USA.
|
Proceedings paper
Duarte, E;
de Sousa, B;
Cadarso-Suarez, C;
Espasandin-Dominguez, J;
Lado-Baleato, O;
Marra, G;
Radice, R;
(2017)
Applying Spatial Copula Additive Regression to Breast Cancer Screening Data.
In: Gervasi, O and Murgante, B and Misra, S and Borruso, G and Torre, CM and Rocha, AMAC and Taniar, D and Apduhan, BO and Stankova, E and Cuzzocrea, A, (eds.)
Computational Science and Its Applications – ICCSA 2017: 17th International Conference, Trieste, Italy, July 3-6, 2017, Proceedings, Part II.
(pp. pp. 586-599).
Springer: Cham, Switzerland.
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Working / discussion paper
Marra, Giampiero;
Radice, Rosalba;
Zimmer, David;
(2022)
A Unifying Switching Regime Regression Framework with Applications in Health Economics.
UCL Department of Statistical Science: London, UK.
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Conference item
Bradford, CM;
Gonzalez-Serrano, R;
Cole, A;
Ramakrishnan, S;
Marra, G;
Ciurtin, C;
Jury, EC;
(2017)
A unique immune signature in patients with active rheumatoid arthritis but normal c-reactive protein levels suggests an altered pathogenic mechanism.
Presented at: Rheumatology Conference, Birmingham, ENGLAND.
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Ciurtin, C;
Wyszynski, K;
Manson, J;
Marra, G;
(2015)
Evaluating Impact of Risk Associated Outcomes on Ultrasound Doppler Score of Patients with Inflammatory Hand Joint Pain Using a Beta-Binomial Model.
Presented at: EULAR 2015, Annual European Congress of Rheumatology, Rome, Italy.
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Ciurtin, C;
Wyszynski, K;
Manson, J;
Marra, G;
(2015)
A Beta-binominal Regression Model to Predict Doppler Score on Ultrasound Examination in Patients With Inflammatory Hand Joint Pain.
Presented at: Annual Meeting of the British Society for Rheumatology and British Health Professionals in Rheumatology, Manchester, UK.
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Thesis
Donat, F;
(2016)
Discrete responses in penalized Generalized Linear Models.
Doctoral thesis , UCL (University College London).
|
Filippou, Panagiota;
(2018)
Penalized Likelihood Estimation of Trivariate Additive Binary Models.
Doctoral thesis (Ph.D), UCL (University College London).
|
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Liang, XM;
(2014)
Combining insights from mean and quantile regression: an application to spatio-temporal data.
Doctoral thesis , UCL (University College London).
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Mariano Machado, Robson José;
(2018)
Penalised maximum likelihood estimation for multi-state models.
Doctoral thesis (Ph.D), UCL (University College London).
|
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Park, AY;
(2014)
Dimension reduction for functional regression with application to ozone trend analysis.
Doctoral thesis , UCL(University College London).
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Wyszynski, K;
(2016)
Semi-parametric copula sample selection models for count responses.
Doctoral thesis , UCL (University College London).
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