Results 71 to 80 of about 127 (80)

Variable selection in double/debiased machine learning for causal inference: an outcome-adaptive approach

Communications in Statistics Part B: Simulation and Computation
Mototsugu Shintani, Daijiro Kabata
exaly  

A nonparametric doubly robust test for a continuous treatment effect

Annals of Statistics
Tongtan Chantarat, Charles Raouf Doss
exaly  

Environment invariant linear least squares

Annals of Statistics
Jianqing Fan
exaly  

Characterization of causal ancestral graphs for time series with latent confounders

Annals of Statistics
Andreas Gerhardus
exaly  

A common-cause principle for eliminating selection bias in causal estimands through covariate adjustment

Annals of Statistics
Maya Mathur, Tyler Vanderweele, Ilya Shpitser   +2 more
exaly  

Wald tests when restrictions are locally singular

Annals of Statistics
Eric Renault, Victoria Zinde-Walsh, Jean-Marie Dufour   +2 more
exaly  

Wilcoxon-Mann-Whitney statistics in randomized trials with non-compliance

Electronic Journal of Statistics
Lu Mao
exaly  

Time-uniform central limit theory and asymptotic confidence sequences

Annals of Statistics
Edward Kennedy, Aaditya Ramdas, Ian Waudby-Smith   +2 more
exaly  

Debiased inverse propensity score weighting for estimation of average treatment effects with high-dimensional confounders

Annals of Statistics
Rajen Shāh
exaly  

Causality pursuit from heterogeneous environments via neural adversarial invariance learning

Annals of Statistics
Peter Bühlmann, Jianqing Fan
exaly