Outcome Regression Methods for Analyzing Hybrid Control Studies: Balancing Bias and Variability

Documenti analoghi

• A Model-Robust G-Computation Method for Analyzing Hybrid Control Studies Without Assuming Exchangeability
  di: Zhang, Zhiwei, et al.
  Pubblicazione: (2026)
• Forward Regression via Gram-Schmidt Orthogonalization for Ultra-High Dimensional Linear Models
  di: Chen, Jialuo, et al.
  Pubblicazione: (2025)
• Quasi Instrumental Variable Methods for Stable Hidden Confounding and Binary Outcome
  di: Liu, Zhonghua, et al.
  Pubblicazione: (2025)
• Comparing Variable Selection and Model Averaging Methods for Logistic Regression
  di: Sekulovski, Nikola, et al.
  Pubblicazione: (2025)
• Selection Bias in Hybrid Randomized Controlled Trials using External Controls: A Simulation Study
  di: Chiam, Han Chang, et al.
  Pubblicazione: (2025)