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Advanced Causal Inference Techniques

Advanced Causal Inference Techniques is a research topic within Statistics and Probability. Science Explorer counts 17k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on methods for causal inference in observational studies, with an emphasis on reducing the effects of confounding. It covers topics such as propensity score methods, matching methods, regression discontinuity, mediation analysis, instrumental variables, bias correction, and confounding control.

  • Causal Inference
  • Propensity Score
  • Observational Studies
  • Treatment Effects
  • Matching Methods
  • Regression Discontinuity
  • Mediation Analysis
  • Instrumental Variables
  • Bias Correction
  • Confounding Control
Research works
17k
fractional, since 1950
In the world top 10%
1.7k
per year above
Top-10% rate
10.0%
share of its works in the world top 10%
Growth, 2018-21 → 2022-25
+34%
the tick is no change
Largest producer
United States
53% of the 10 largest, 2022-now
Advanced Causal Inference Techniques
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