Inclusion of time-varying covariates in cure survival models with an application in fertility studies. Journal of the Royal Statistical Society: Series A.doi.org/10.1111/rssa.12501
Estimation and identification issues in the promotion time cure model when the same covariates influence long- and short-term survival. Biometrical Journal, 61(2): 275-279, 2019.
Nonparametric double additive cure survival models: an application to the estimation of the nonlinear effect of age at first parenthood on fertility progression. Statistical Modelling, 19(2): 1-28, 2019.
Fast Bayesian inference using Laplace approximations in a flexible promotion time cure model based on P-splines. Computational Statistics and Data Analysis, 124: 151-167, 2018.
Bayesian inference in an extended SEIR model with nonparametric disease transmission rate: an application to the Ebola epidemic in Sierra Leone. Biostatistics, 17(4):779-792, 2016.
Fertility progression in Germany: An analysis using flexible nonparametric cure survival models. Demographic Research, 35: 505-534, 2016.
Semiparametric frailty model for clustered interval-censored data. Statistical Modelling, 16(5): 360-391, 2016.
A Bayesian approach to the semi-parametric estimation of a minimum inhibitory concentration distribution. Annals of Applied Statistics, 10: 906-924, 2016.
Flexible estimation in cure survival models using Bayesian P-splines. Computational Statistics and Data Analysis, 93: 270-284.