| Testing exogeneity in the bivariate probit model: A Monte Carlo study C Monfardini, R Radice oxford Bulletin of Economics and Statistics 70 (2), 271-282, 2008 | 315 | 2008 |
| Estimation of a semiparametric recursive bivariate probit model in the presence of endogeneity G Marra, R Radice Canadian Journal of Statistics 39 (2), 259-279, 2011 | 132 | 2011 |
| Bivariate copula additive models for location, scale and shape G Marra, R Radice Computational Statistics & Data Analysis 112, 99-113, 2017 | 113 | 2017 |
| GJRM: generalised joint regression modelling G Marra, R Radice R package version 0.1-1, 2017 | 89 | 2017 |
| Copula regression spline models for binary outcomes R Radice, G Marra, M Wojtyś Statistics and Computing 26 (5), 981-995, 2016 | 89 | 2016 |
| A simultaneous equation approach to estimating HIV prevalence with nonignorable missing responses G Marra, R Radice, T Bärnighausen, SN Wood, ME McGovern Journal of the American Statistical Association 112 (518), 484-496, 2017 | 86 | 2017 |
| Regression-adjusted matching and double-robust methods for estimating average treatment effects in health economic evaluation N Kreif, R Grieve, R Radice, JS Sekhon Health Services and Outcomes Research Methodology 13 (2), 174-202, 2013 | 73 | 2013 |
| Testing exogeneity in the bivariate probit model: Monte Carlo evidence and an application to health economics D Fabbri, C Monfardini, R Radice | 71 | 2004 |
| A flexible instrumental variable approach G Marra, R Radice Statistical Modelling 11 (6), 581-603, 2011 | 67 | 2011 |
| Penalised regression splines: theory and application to medical research G Marra, R Radice Statistical Methods in Medical Research 19 (2), 107-125, 2010 | 63 | 2010 |
| Evaluating treatment effectiveness in patient subgroups: a comparison of propensity score methods with an automated matching approach. R Radice, R Ramsahai, R Grieve, N Kreif, Z Sadique, JS Sekhon The international journal of biostatistics 8 (1), 25-, 2012 | 62 | 2012 |
| A penalized likelihood estimation approach to semiparametric sample selection binary response modeling G Marra, R Radice | 54 | 2013 |
| Copula link-based additive models for right-censored event time data G Marra, R Radice Journal of the American Statistical Association, 2020 | 52 | 2020 |
| Evaluating treatment effectiveness under model misspecification: a comparison of targeted maximum likelihood estimation with bias-corrected matching N Kreif, S Gruber, R Radice, R Grieve, JS Sekhon Statistical methods in medical research 25 (5), 2315-2336, 2016 | 52 | 2016 |
| A joint regression modeling framework for analyzing bivariate binary data in R G Marra, R Radice Dependence Modeling 5 (1), 268-294, 2017 | 45 | 2017 |
| Methods for estimating subgroup effects in cost-effectiveness analyses that use observational data N Kreif, R Grieve, R Radice, Z Sadique, R Ramsahai, JS Sekhon Medical decision making 32 (6), 750-763, 2012 | 45 | 2012 |
| Estimation of a regression spline sample selection model G Marra, R Radice Computational Statistics & Data Analysis 61, 158-173, 2013 | 43 | 2013 |
| On the assumption of bivariate normality in selection models: a copula approach applied to estimating HIV prevalence ME McGovern, T Bärnighausen, G Marra, R Radice Epidemiology 26 (2), 229-237, 2015 | 40 | 2015 |
| Estimating the relationship between women's education and fertility in Botswana by using an instrumental variable approach to semiparametric expectile regression F Sobotka, R Radice, G Marra, T Kneib Journal of the Royal Statistical Society Series C: Applied Statistics 62 (1 …, 2013 | 40 | 2013 |
| Copula selection models for non‐Gaussian outcomes that are missing not at random M Gomes, R Radice, J Camarena Brenes, G Marra Statistics in medicine 38 (3), 480-496, 2019 | 39 | 2019 |
