A general modelling framework for multivariate disease mapping
A unified approach to robust estimation in finite population sampling
Statistics of orthogonal axial frames
Automatic declustering of rare events
Continuously additive models for nonlinear functional regression
Adaptive Bayesian multivariate density estimation with Dirichlet mixtures
Dimension reduction and predictor selection in semiparametric models
High-dimensional semiparametric bigraphical models
Inverse probability weighting with error-prone covariates
Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions
More efficient estimators for case-cohort studies
Robust analysis of semiparametric renewal process models
Nonparametric estimation of the mean function for recurrent event data with missing event category
Kernel smoothed profile likelihood estimation in the accelerated failure time frailty model for clustered survival data
Adjusted regression estimation for time-to-event data with differential measurement error
Survival analysis without survival data
Species sampling models
Convergence of Luo and Tsai's iterative algorithm for estimation in proportional likelihood ratio models