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  1. Estimators for Causal Inference for Observational Studies with Clustered Interference

    R 3 1

  2. Implements "stabilized" IPW estimators under interference from Liu et al. 2016 Biometrika

    R 1

  3. Propensity score Matching and Subclassification with 3 or more Treatments

    R 2 2

  4. Framework for estimating parameters and the empirical sandwich covariance matrix from a set of unbiased estimating equations (i.e. M-estimation) in R.

    R 2 2

  5. Simple implementation for estimating causal effects with M-estimation and sandwich variance estimators

    R 2

95 contributions in the last year

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Contribution activity

May 2019

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