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PROSPERED
Policy-relevant observational studies for population health equity and responsible development

REGRESSION DISCONTINUITY

introductory readings

 
 

Applied examples

Bor, J., Moscoe, E., Mutevedzi, P., Newell, ML., and Bärnighausen T. (2014). Regression Discontinuity Designs in Epidemiology: Causal Inference Without Randomized Trials. Epidemiology 25: 00–00.

Gertler, P. J., Martinez, S., Premand, P., Rawlings, L. B., & Vermeersch, C. M. (2016). Impact evaluation in practice. World Bank Publications. Ch. 6.

Moscoe E., Bor J., Bärnighausen T. (2015). Regression discontinuity designs are underutilized in medicine, epidemiology, and public health: a review of current and best practice. Journal of Clinical Epidemiology 68: 122-133.

Bernal N., Carpio, M.A., Klein, T.J. (2017). The effects of access to health insurance: Evidence from a regression discontinuity design in Peru. Journal of Public Economics 154: 122–136.

Chen, H., Li, Q., Kaufman, J.S., Wang, J., Copes, R., Su, Y., Benmarhnia T. Effect of air quality alerts on human health: a regression discontinuity analysis in Toronto, Canada. Lancet Planet Health 2: e19–26.

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PROSPERED is supported by a Foundation Grant from the Canadian Institutes of Health Research.

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