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stat.ME2025
Identifying Unmeasured Confounders in Panel Causal Models: A Two-Stage LM-Wald Approach
Bang Quan Zheng
Panel data are widely used in political science to draw causal inferences. However, these models often rely on the strong and untested assumption of sequential ignorability--that n…
stat.ME2023
Improved LM Test for Robust Model Specification Searches in Covariance Structure Analysis
Bang Quan Zheng, Peter M. Bentler
Covariance Structure Analysis (CSA) or Structural Equation Modeling (SEM) is critical for political scientists measuring latent structural relationships, allowing for the simultane…
stat.ME2023★ 1 cited
Efficient estimation of weighted cumulative treatment effects by double/debiased machine learning
Shenbo Xu, Bang Zheng, Bowen Su +5
In empirical studies with time-to-event outcomes, investigators often leverage observational data to conduct causal inference on the effect of exposure when randomized controlled t…