Sample size formulae for two-stage randomized trials with survival outcomes
The covariate-adaptive biased coin design for balancing clinical trials in the presence of prognostic factors
Bayesian isotonic density regression
A class of mixtures of dependent tail-free processes
Semiparametric inference in mixture models with predictive recursion marginal likelihood
Functional mixed effects spectral analysis
Testing parametric assumptions of trends of a nonstationary time series
Aggregation-cokriging for highly multivariate spatial data
A construction principle for multivariate extreme value distributions
Marginal methods for correlated binary data with misclassified responses
Efficient restricted estimators for conditional mean models with missing data
Conditional Akaike information under generalized linear and proportional hazards mixed models
Generalized varying coefficient models with unknown link function
Sudoku-based space-filling designs
Nested orthogonal array-based Latin hypercube designs
Robust designs through partially clear two-factor interactions
Construction of ϕ p -optimal exact designs with minimum experimental run size for a linear log contrast model in mixture experiments
On protected estimation of an odds ratio model with missing binary exposure and confounders
Multinomial logit bias reduction via the Poisson log-linear model