A hierarchical Bayes approach to adjust for selection bias in before–after analyses of vision zero policies
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DOI: 10.1007/s00180-021-01070-x
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- Roya Amjadi & Wendy Martinez, 2021. "The 2016 Data Challenge of the American Statistical Association," Computational Statistics, Springer, vol. 36(3), pages 1553-1560, September.
- Friedman, Milton, 1992. "Do Old Fallacies Ever Die?," Journal of Economic Literature, American Economic Association, vol. 30(4), pages 2129-2132, December.
- Imbens,Guido W. & Rubin,Donald B., 2015. "Causal Inference for Statistics, Social, and Biomedical Sciences," Cambridge Books, Cambridge University Press, number 9780521885881, October.
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- Roya Amjadi & Wendy Martinez, 2021. "The 2016 Data Challenge of the American Statistical Association," Computational Statistics, Springer, vol. 36(3), pages 1553-1560, September.
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Keywords
Hierarchical Bayes; Before–after study; Vision Zero; Selection bias;All these keywords.
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