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Statistical Ideas that Changed the World

Papers

Random-Effects Models for Longitudinal Data
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Statistical Modeling: The Two Cultures
Sampling-Based Approaches to Calculating Marginal Densities
Bootstrap Methods: Another Look at the Jackknife
Maximum Likelihood from Incomplete Data via the EM Algorithm
The Baum-Welch Algorithm
Regression Models and Life-Tables
The Central Role of the Propensity Score in Observational Studies for Causal Effects
Generalized Additive Models
A Tutorial on Conformal Prediction
Greedy Function Approximation: A Gradient Boosting Machine
Association, Causation, and Marginal Structural Models
Regression Shrinkage and Selection via the Lasso

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By Leda Liang