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  1. Simulating Longitudinal and Network Data with Causal Inference Applications

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  2. Streamlined Estimation for Static, Dynamic and Stochastic Treatment Regimes in Longitudinal Data

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  3. Targeted Maximum Likelihood Estimation for Network Data

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  4. Discrete SuperLearner with Grid-Search for Longitudinal Data

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  5. Non-parametric conditional density estimation with binned conditional histograms

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  6. Code for paper "Learning to learn from data: using deep adversarial learning to construct optimal statistical procedures"

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