The Future of Causal Inference
Nandita Mitra, Jason Roy, Dylan S. Small
Abstract
The past several decades have seen exponential growth in causal inference approaches and their applications. In this commentary, we provide our top-10 list of emerging and exciting areas of research in causal inference. These include methods for high-dimensional data and precision medicine, causal machine learning, causal discovery, and others. These methods are not meant to be an exhaustive list; instead, we hope that this list will serve as a springboard for stimulating the development of new research.
Topics & Concepts
Causal inferenceInferenceMedicineEconometricsComputer scienceMathematicsArtificial intelligenceAdvanced Causal Inference TechniquesPhilosophy and History of ScienceQualitative Comparative Analysis Research