This contains the reference information for papers about causal inference. List of helpful papers about causal inference:

• Computer-Aided Experiment Planning toward Causal Discovery in Neuroscience
• Causal inference Based on Counterfactuals
• Illustrating bias due to conditioning on a collider
• Towards Clarifying the Theory of the Deconfounder
• On Geometry of Information Flow for Causal Inference
• Directed Acyclic Graphs and causal thinking in clinical risk prediction modeling
• A Crash Course in Good and Bad Controls
• The Seven Tools of Causal Inference, with Reflections on Machine Learning
• Generalizing Experimental Results by Leveraging Knowledge of Mechanisms
• Note on ‘‘Generalizability of Study Results‘‘
• THE LIMITATIONS OF OPAQUE LEARNING MACHINES
• Sensitivity Analysis of Linear Structural Causal Models
• The Environment and Disease: Association or Causation?
• Confounding and Collapsibility in Causal Inference
• Causal Inference-so much more than statistics