What are the most important statistical ideas of the past 50 years? — Andrew Gelman

1. The most important statistical ideas of the past 50 years

1.1. Counterfactual causal inference
1.2. Bootstrapping and simulation-based inference
1.3. Overparameterized models and regularization
1.4. Multilevel models
1.5. Generic computation algorithms
1.6. Adaptive decision analys
1.7. Robust inference
1.8. Exploratory data analysis

Statistical Modeling, Causal Inference, and Social Science
What are the most important statistical ideas of the past 50 years?
Andrew Gelman | Professor of Statistics and Political Science and Director of the Applied Statistics Center, Columbia University