Article

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