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Jake M Hofman
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Effectively Communicating Effect Sizes
Explanation, Prediction, and Causality: Three Sides of the Same Coin?
How visualizing inferential uncertainty can mislead readers about treatment effects in scientific results
Improving Comprehension of Small Risks: Estimation, Recall, and Error Detection
Predictive modeling needs pre-registration too
Manipulating and measuring model interpretability
Split-door criterion: Identification of causal effects through auxiliary outcomes
To put that in perspective: Generating analogies that make numbers easier to understand
Prediction and explanation in social systems
Exploring limits to prediction in complex social systems
Estimating the causal impact of recommendation systems from observational data
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