4 papers · 1 filter
Optimizing Experimental Design for Causal Effect Estimation with Partial Measurements
Leopold Mareis
Instrumental variable regression quantifies causal effects between a possibly confounded treatment variable and a response variable by leveraging an instrument $ X_…
Semiparametric Inference for Half-Trek Estimators in Linear Structural Equation Models
Leopold Mareis, Nils Sturma, Mathias Drton
Linear structural equation models on directed mixed graphs encode causal relationships among variables subject to latent confounding. The half-trek criterion (HTC) provides a graph…
Cost-Aware Optimized Front-Door Experimental Design
Leopold Mareis, Mathias Drton
Causal effect estimation often succeeds cost-constrained sequential data collection. This work considers multivariate linear front-door models with arbitrary unobserved confounding…
Partially Specified Causal Simulations
A. Zamanian, L. Mareis, N. Ahmidi
Simulation studies play a key role in the validation of causal inference methods. The simulation results are reliable only if the study is designed according to the promised operat…