Estimating the Complier Average Causal Effect in Randomised Controlled Trials with Non-Compliance: A Comparative Simulation Study of the Instrumental Variables and Per-Protocol Analyses

Ähnliche Einträge

• Covariance Supervised Principal Component Analysis
  von: Papazoglou, Theodosios, et al.
  Veröffentlicht: (2025)
• Nested Instrumental Variables Analysis: Switcher Average Treatment Effect, Identification, Efficient Estimation and Generalizability
  von: Wang, Rui, et al.
  Veröffentlicht: (2024)
• Two-Phase Treatment with Noncompliance: Identifying the Cumulative Average Treatment Effect via Multisite Instrumental Variables
  von: Hong, Guanglei, et al.
  Veröffentlicht: (2025)
• Estimating Causal Effects for Binary Outcomes Using Per-Decision Inverse Probability Weighting
  von: Bao, Yihan, et al.
  Veröffentlicht: (2023)
• Estimating Complier Average Causal Effects with Mixtures of Experts
  von: Grolleau, François, et al.
  Veröffentlicht: (2024)