Replication and Evidence Factors in Observational Studies

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Johns Hopkins Causal Inference Working Group

Johns Hopkins Causal Inference Working Group

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Conformal Inference of Counterfactuals and Individual Treatment Effects
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Efficient Estimation for Staggered Rollout Design
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Causal Estimation with Machine Learning without (Simple) Unconfoundedness
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Multi-study R-learner for Est. Heterogeneous Treatment Effects Using Statistical Machine Learning
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Ensuring valid inference for conditional causal hazard ratios after variable selection
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Variance reduction in IPW estimators for the average treatment effect using the propensity score
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The Dome Paradox: A Loophole in Newton's Laws
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What is mathematical thinking actually like?
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week10-  Pattern Recognition(Decision Tree)- part1
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