Journal of Causal Inference

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Rudolph, K. E., Williams, N. T., Miles, C. H., Antonelli, J., & Diaz, I. (2023). All models are wrong, but which are useful? Comparing parametric and nonparametric estimation of causal effects in finite samples. Journal of Causal Inference, 11(1). https://doi.org/10.1515/jci-2023-0022
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