research
∙
09/12/2023
Confounder selection via iterative graph expansion
Confounder selection, namely choosing a set of covariates to control for...
share
research
∙
01/06/2023
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values
Many testing problems are readily amenable to randomised tests such as t...
research
∙
08/29/2022
Confounder Selection: Objectives and Approaches
Confounder selection is perhaps the most important step in the design of...
research
∙
02/24/2022
Variable elimination, graph reduction and efficient g-formula
We study efficient estimation of an interventional mean associated with ...
research
∙
03/03/2021
Discussion of 'Estimating time-varying causal excursion effect in mobile health with binary outcomes' by T. Qian et al
We discuss the recent paper on "excursion effect" by T. Qian et al. (202...
research
∙
10/16/2020
Minimal enumeration of all possible total effects in a Markov equivalence class
In observational studies, when a total causal effect of interest is not ...
research
∙
08/08/2020
Efficient Least Squares for Estimating Total Effects under Linearity and Causal Sufficiency
Recursive linear structural equation models are widely used to postulate...
research
∙
03/19/2020
Chernoff-type Concentration of Empirical Probabilities in Relative Entropy
We study the relative entropy of the empirical probability vector with r...
research
∙
02/07/2020
