On overfitting and post-selection uncertainty assessments
Choosing between methods of combining p-values
On bias reduction and incidental parameters
Robust and consistent variable selection in high-dimensional generalized linear models
Shape-constrained partial identification of a population mean under unknown probabilities of sample selection
Approximate Bayesian inference under informative sampling
On causal estimation using U-statistics
Kernel-based covariate functional balancing for observational studies
A structural Markov property for decomposable graph laws that allows control of clique intersections
Testing for the presence of significant covariates through conditional marginal regression
Simple least squares estimator for treatment effects using propensity score residuals
Partial likelihood estimation of isotonic proportional hazards models
A robust goodness-of-fit test for generalized autoregressive conditional heteroscedastic models
A conditional composite likelihood ratio test with boundary constraints
Two-sample tests of high-dimensional means for compositional data
A randomization-based perspective on analysis of variance : a test statistic robust to treatment effect heterogeneity
Optimal discrimination designs for semiparametric models