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Aeberhard, W., Cantoni, E., Marra, G. and Radice, R. ORCID: 0000-0002-6316-3961 (2020).
Robust Fitting for Generalized Additive Models for Location, Scale and Shape.
Statistics and Computing,
Marra, G., Farcomeni, A. and Radice, R. ORCID: 0000-0002-6316-3961 (2020).
Link-based survival additive models under mixed censoring to assess risks of hospital-acquired infections.
Computational Statistics and Data Analysis, 155,
107092..
doi: 10.1016/j.csda.2020.107092
Marra, G., Radice, R. ORCID: 0000-0002-6316-3961 and Zimmer, D. (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),
doi: 10.1111/rssc.12419
Dettoni, R., Marra, G. and Radice, R. ORCID: 0000-0002-6316-3961 (2020).
Generalized Link-Based Additive Survival Models with Informative Censoring.
Journal of Computational and Graphical Statistics,
doi: 10.1080/10618600.2020.1724544
van der Wurp, H., Groll, A., Kneib, T., Marra, G. and Radice, R. ORCID: 0000-0002-6316-3961 (2020).
Generalised joint regression for count data: a penalty extension for competitive settings.
Statistics and Computing,
doi: 10.1007/s11222-020-09953-7
van der Wurp, H., Groll, A., Kneib, T., Marra, G. and Radice, R. ORCID: 0000-0002-6316-3961 (2020).
Generalised joint regression for count data with a focus on modelling football matches.
Statistics and Computing, 30,
pp. 1419-1432.
doi: 10.1007/s11222-020-09953-7
Espasandín-Domínguez, J., Cadarso-Suárez, C., Kneib, T., Marra, G., Klein, N., Radice, R. ORCID: 0000-0002-6316-3961, Lado-Baleato, O., González Quintela, A and Gude, F. (2019).
Assessing the relationship between markers of glycemic control through flexible copula regression models.
Statistics in Medicine,
doi: 10.1002/sim.8358
Marra, G. and Radice, R. ORCID: 0000-0002-6316-3961 (2019).
Copula Link-Based Additive Models for Right-Censored Event Time Data.
Journal of the American Statistical Association,
doi: 10.1080/01621459.2019.1593178
Gomes, M., Radice, R., Camarena Brenes, J. and Marra, G. (2019). Copula selection models for non-Gaussian responses that are missing not at random. Statistics in Medicine, 38(3), pp. 480-496. doi: 10.1002/sim.7988
Klein, N., Kneib, T., Marra, G., Radice, R., Rokicki, S. R. and McGovern, M. (2019). Mixed Binary-Continuous Copula Regression Models with Application to Adverse Birth Outcomes. Statistics in Medicine, 38(3), pp. 413-436. doi: 10.1002/sim.7985
Filippou, P., Kneib, T., Marra, G. and Radice, R. ORCID: 0000-0002-6316-3961 (2018).
A trivariate additive regression model with arbitrary link functions and varying correlation matrix.
Journal of Statistical Planning and Inference, 199,
pp. 236-248.
doi: 10.1016/j.jspi.2018.07.002
Wojtys, M., Marra, G. and Radice, R. ORCID: 0000-0002-6316-3961 (2018).
Copula based generalized additive models for location, scale and shape with non-random sample selection.
Computational Statistics and Data Analysis, 127,
pp. 1-14.
doi: 10.1016/j.csda.2018.05.001
Braumoeller, B. F., Marra, G., Radice, R. ORCID: 0000-0002-6316-3961 and Bradshaw, A. E. (2018).
Flexible Causal Inference for Political Science.
Political Analysis, 26(1),
pp. 54-71.
doi: 10.1017/pan.2017.29
Marra, G. and Radice, R. ORCID: 0000-0002-6316-3961 (2017).
A joint regression modeling framework for analyzing bivariate binary data in R.
Dependence Modeling, 5(1),
pp. 268-294.
doi: 10.1515/demo-2017-0016
Marra, G., Radice, R. ORCID: 0000-0002-6316-3961, Bärnighausen, T., Wood, S. N. and McGovern, M. E. (2017).
A Simultaneous Equation Approach to Estimating HIV Prevalence With Nonignorable Missing Responses.
Journal of the American Statistical Association, 112(518),
pp. 484-496.
doi: 10.1080/01621459.2016.1224713
Marra, G. and Radice, R. ORCID: 0000-0002-6316-3961 (2017).
Bivariate copula additive models for location, scale and shape.
Computational Statistics & Data Analysis, 112,
pp. 99-113.
doi: 10.1016/j.csda.2017.03.004
Marra, G., Radice, R. ORCID: 0000-0002-6316-3961 and Filippou, P. (2017).
Regression spline bivariate probit models: A practical approach to testing for exogeneity.
Communications in Statistics - Simulation and Computation, 46(3),
pp. 2283-2298.
doi: 10.1080/03610918.2015.1041974
Filippou, P., Marra, G. and Radice, R. ORCID: 0000-0002-6316-3961 (2017).
Penalized likelihood estimation of a trivariate additive probit model.
Biostatistics, 18(3),
pp. 569-585.
doi: 10.1093/biostatistics/kxx008
Kreif, N., Gruber, S., Radice, R. ORCID: 0000-0002-6316-3961, Grieve, R. and Sekhon, J. S. (2016).
Evaluating treatment effectiveness under model misspecification: A comparison of targeted maximum likelihood estimation with bias-corrected matching.
Statistical Methods in Medical Research, 25(5),
pp. 2315-2336.
doi: 10.1177/0962280214521341
Radice, R. ORCID: 0000-0002-6316-3961, Marra, G. and Wojtys, M. (2016).
Copula regression spline models for binary outcomes.
Statistics and Computing, 26(5),
pp. 981-995.
doi: 10.1007/s11222-015-9581-6
Wojtys, M., Marra, G. and Radice, R. ORCID: 0000-0002-6316-3961 (2016).
Copula Regression Spline Sample Selection Models: The R Package SemiParSampleSel.
Journal of Statistical Software, 71(6),
doi: 10.18637/jss.v071.i06
McGovern, M. E., Marra, G., Radice, R. ORCID: 0000-0002-6316-3961, Canning, D., Newell, M-L. and Bärnighausen, T. (2015).
Adjusting HIV prevalence estimates for non-participation: an application to demographic surveillance.
Journal of the International AIDS Society, 18(1),
19954..
doi: 10.7448/IAS.18.1.19954
McGovern, M. E., Baernighausen, T., Marra, G. and Radice, R. ORCID: 0000-0002-6316-3961 (2015).
On the Assumption of Bivariate Normality in Selection Models A Copula Approach Applied to Estimating HIV Prevalence.
Epidemiology, 26(2),
pp. 229-237.
doi: 10.1097/EDE.0000000000000218
Zanin, L., Radice, R. ORCID: 0000-0002-6316-3961 and Marra, G. (2015).
Modelling the impact of women's education on fertility in Malawi.
Journal of Population Economics, 28(1),
pp. 89-111.
doi: 10.1007/s00148-013-0502-8
Marra, G., Radice, R. ORCID: 0000-0002-6316-3961 and Missiroli, S. (2014).
Testing the hypothesis of absence of unobserved confounding in semiparametric bivariate probit models.
Computational Statistics, 29(3-4),
doi: 10.1007/s00180-013-0458-x
Ieva, F., Marra, G., Paganoni, A. M. and Radice, R. ORCID: 0000-0002-6316-3961 (2014).
A Semiparametric Bivariate Probit Model for Joint Modeling of Outcomes in STEMI Patients.
Computational and Mathematical Methods in Medicine, 2014,
240435..
doi: 10.1155/2014/240435
Marra, G., Papageorgiou, G. and Radice, R. ORCID: 0000-0002-6316-3961 (2013).
Estimation of a Semiparametric Recursive Bivariate Probit Model with Nonparametric Mixing.
Australian & New Zealand Journal of Statistics, 55(3),
pp. 321-342.
doi: 10.1111/anzs.12043
Marra, G and Radice, R. ORCID: 0000-0002-6316-3961 (2013).
Estimation of a regression spline sample selection model.
Computational Statistics & Data Analysis, 61,
pp. 158-173.
doi: 10.1016/j.csda.2012.12.010
Marra, G. and Radice, R. ORCID: 0000-0002-6316-3961 (2013).
A penalized likelihood estimation approach to semiparametric sample selection binary response modeling.
Electronic Journal of Statistics, 7,
pp. 1432-1455.
doi: 10.1214/13-EJS814