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Rosalba Radice

Reader in Statistics

BSc (Bologna, Italy), MSc (UCL), PhD (Bath)

Research Interests

  • Simultaneous semiparametric equation models
  • Semiparametric/generalised regression
  • Non-random sample selection
  • Endogeneity
  • Confounding
  • Copula regression
  • Joint models

R package

  • Generalised Joint Regression Modelling GJRM


  • Braumoeller BF, Marra G, Radice R, Bradshaw A (in press). Flexible Causal Inference for Political Science. Political Analysis
  • Marra G, Radice R, (2017). Bivariate Copula Additive Models for Location, Scale and Shape. Computational Statistics and Data Analysis, 112: 99-113
  • Filippou P, Marra G, Radice R, (2017). Penalized Likelihood Estimation of a trivariate additive probit model. Biostatistics, 18(3): 569-585
  • Marra G, Radice R, Barnighausen T, Wood SN, McGovern ME, (2017). A Simultaneous Equation Approach to Estimating HIV Prevalence with Non-Ignorable Missing Responses. Journal of the American Statistical Association, 112(518): 484-496
  • 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): 2283-2298
  • Elisa Duarte, Bruno de Sousa, Carmen Cadarso-Suárez, Jenifer Espasandín-Domínguez, Oscar Lado-Baleato, Giampiero Marra, Rosalba Radice, Vítor Rodrigues (2017). Applying Spatial Copula Additive Regression to Breast Cancer Screening Data.
    Computational Science and Its Applications, ICCSA 2017, Lecture Notes in Computer Science, 10405, Springer
  • Radice R, Marra G, Wojtys M (2016). Copula Regression Spline Models for Binary Outcomes. Statistics and  Computing, 26(5): 981-995
  • McGovern ME, Marra G, Radice R, D Canning, ML Newell, Barnighausen T (2015). Adjusting for Non-Participation Bias at an HIV Surveillance Site in Rural South Africa. Journal of the International AIDS Society,18(19954)
  • Wojtys M, Marra G, Radice R (2016). Copula Regression Spline Sample Selection Models: The R Package SemiParSampleSel. Journal of Statistical Software, 71(6): 1-66
  • Marra G and Radice R. (2015). Flexible Bivariate Binary Models for Estimating the Efficacy of Phototherapy for Newborns with Jaundice. International Journal of Statistics and Probability, 4(1): 46-58
  • McGovern ME, Barnighausen T, Marra G and Radice R (2015). On the Assumption of Joint Normality in Selection Models: A Copula Based Approach Applied to Estimating HIV Prevalence. Epidemiology, 26(2):229-237
  • Zanin L, Radice R, Marra G (2015). Modelling the Impact of Women's Education on Fertility in Malawi. Journal of Population Economics, 28(1): 89-111
  • 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, ID 240435, doi
  • Marra G, Radice R and Missiroli S (2014). Testing the Hypothesis of Absence of Unobserved Confounding in Semiparametric Bivariate Probit Models. Computational Statistics, 29 (3-4): 715-741, doi
  • Kreif N, Gruber S, Radice R, Grieve R and Sekhon JS (2014). Evaluating Treatment Effectiveness under Model Misspecification: A Comparison of Targeted Maximum Likelihood Estimation with Bias-corrected Matching. Statistical Methods in Medical Research.
  • Zanin L, Radice R and Marra G (2014). A Comparison of Approaches for Estimating the Effect of Women's Education on the Probability of Using Modern Contraceptive Methods in Malawi. The Social Science Journal, 51, 361-367, doi
  • Radice R, Zanin L and Marra G. (2013). On the Effect of Obesity on Employment in the Presence of Observed and Unobserved Confounding. Statistica Neerlandica, 67(4): 436-455, doi
  • Marra G, Papageorgiou G and Radice R (2013). Estimation of a Semiparametric Recursive Bivariate Probit Model with Nonparametric Mixing. Australian & New Zealand Journal of Statistics, 55(3): 321-342, doi
  • Marra, G. and Radice, R. (2013). A Penalized Likelihood Estimation Approach to Semiparametric Sample Selection Binary Response Modeling. Electronic Journal of Statistics, 7: 1432-1455, doi
  • Marra G and Radice R (2013). Estimation of a Regression Spline Sample Selection Model. Computational Statistics and Data Analysis, 61: 158-173, doi
  • Sobotka F, Radice R, Marra G and Kneib T (2013). Estimating the Relationship of Women's Education and Fertility in Botswana Using an Instrumental Variable Approach to Semiparametric Expectile Regression. Journal of the Royal Statistical Society Series C, 62(1): 25-45, doi
  • Kreif N, Grieve R Radice R and Sekhon JS (2013). Regression-Adjusted Matching and Double-Robust Methods for Estimating Average Treatment Effects. Health Services and Outcomes Research Methodology, 13: 174-202, doi
  • Zanin L, Radice R and Marra G (2013). Estimating the Effect of Perceived Risk of Crime on Social Trust in the Presence of Endogeneity Bias. Social Indicators Research, 114: 523-547
  • Radice R (2012). A Bayesian Approach to Modelling Reticulation Events with Application to the Ribosomal Protein Gene rps11 of Flowering Plants. Australian & New Zealand Journal of Statistics, 54(4): 401-426, doi
  • Kreif N, Grieve R, Radice R, Ramsahai R, Sadique Z and Sekhon JS (2012). Methods for Estimating Subgroup Effects in Cost-Effectiveness Analyses that Use Observational Data. Medical Decision Making, 32(6): 750-763, doi
  • Radice R, Ramsahai R, Grieve R, Kreif N, Sadique Z and Sekhon JS (2012). Evaluating Treatment Effectiveness in Patient Subgroups: A Comparison of Propensity Score Methods with an Automated Matching Approach. International Journal of Biostatistics, 8(1), doi
  • Marra G and Radice R (2011). Estimation of a Semiparametric Recursive Bivariate Probit Model in the Presence of Endogeneity. Canadian Journal of Statistics, 39(2): 259-279, doi
  • Marra G and Radice R (2011). A Flexible Instrumental Variable Approach. Statistical Modelling, 11(6): 581-603, doi
  • Marra G and Radice R (2011). Do We Adequately Control for Unmeasured Confounders When Estimating the Short-term Effect of Air Pollution on Mortality?. Water, Air, & Soil Pollution, 218(1-4): 347-352, doi
  • Marra G and Radice R (2010). Penalised Regression Splines: Theory and Application to Medical Research. Statistical Methods in Medical Research, 19(2): 107-125, doi
  • Monfardini C and Radice R (2008). Testing Exogeneity in the Bivariate Probit Model: A Monte Carlo Study. Oxford Bulletin of Economics and Statistics, 70(2): 271-282, doi

Teaching 2016-17

  • Statistical Analysis, MSc Applied Statistics - Year 1
    Section A, (Autumn Term)
  • Statistical Analysis, MSc Applied Statistics - Year 1
    Section B, (Spring Term)
  • Further Statistical Analysis, MSc Applied Statistics - Year 2 Bayesian Analysis, (Autumn Term)
  • Statistical Modelling, BSc - Year 4 (Autumn and Spring Term)

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Contact details

Phone: +44 (0) 20 7631 6795
Room: 747
Office Hours: email for appointment

Current news

  • Sundstrom Scholarships for 2017/18 Entry

    Two Home/EU scholarships for MSc programmes are available in the Department of Economics, Mathematics and Statistics.

  • PhD Studentships for 2017/18 Entry

    Applications are invited for full-time PhD studentships in the Department of Economics, Mathematics and Statistics, starting in the academic year 2017/18.

  • PhD Scholarships for 2017

    ESRC PhD Scholarships for 2017 entry are available via UCL, Bloomsbury and East London Doctoral Training Partnership (DTP) for suitable candidates.