Statistical Science

Comment: The Essential Role of Pair Matching in Cluster-Randomized Experiments, with Application to the Mexican Universal Health Insurance Evaluation

Kai Zhang and Dylan S. Small

Source: Statist. Sci. Volume 24, Number 1 (2009), 59-64.

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Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.ss/1255009010
Digital Object Identifier: doi:10.1214/09-STS274B

References

Greevy, R., Lu, B., Silber, J. H. and Rosenbaum, P. (2004). Optimal multivariate matching before randomization. Biostatistics 5 263–275.
King, G., Gakidou, E., Ravishankar, N., Moore, R., Lakin, J., Vargas, M., Tellez-Rojo, M., Avila, J., Hernandez Avila, M. and Hernandez Llamas, H. (2007). A “politically robust” experimental design for public policy evaluation, with application to the Mexican universal health insurance program. J. Policy Anal. Manage. 26 479–506.
Murray, D. M. (1998). Design and Analysis of Group Randomized Trials. Oxford Univ. Press, Oxford.
Rubin, D. B. (1979). Using multivariate matched sampling and regression adjustment to control bias in observational studies. J. Amer. Statist. Assoc. 74 318–328.

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