Avoiding Randomization Failure in Program Evaluation, with Application to the Medicare Health Support Program

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Avoiding Randomization Failure in Program Evaluation, with Application to the Medicare Health Support Program

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dc.contributor.author King, Gary
dc.contributor.author Nielsen, Richard Alexander
dc.contributor.author Coberly, Carter
dc.contributor.author Pope, James E.
dc.contributor.author Wells, Aaron
dc.date.accessioned 2011-09-06T19:07:04Z
dc.date.issued 2011
dc.identifier.citation King, Gary, Richard Neilsen, Carter Coberley, James E. Pope, and Aaron Wells. 2011. Avoiding randomization failure in program evaluation, with application to the medicare health support program. Population Health Management 14(Suppl 1): S11-S22. en_US
dc.identifier.issn 1942-7891 en_US
dc.identifier.uri http://nrs.harvard.edu/urn-3:HUL.InstRepos:5125263
dc.description.abstract We highlight common problems in the application of random treatment assignment in large-scale program evaluation. Random assignment is the defining feature of modern experimental design, yet errors in design, implementation, and analysis often result in real-world applications not benefiting from its advantages. The errors discussed here cover the control of variability, levels of randomization, size of treatment arms, and power to detect causal effects, as well as the many problems that commonly lead to post-treatment bias. We illustrate these issues by identifying numerous serious errors in the Medicare Health Support evaluation and offering recommendations to improve the design and analysis of this and other large-scale randomized experiments. en_US
dc.description.sponsorship Government en_US
dc.language.iso en_US en_US
dc.publisher Mary Ann Liebert en_US
dc.relation.isversionof doi:10.1089/pop.2010.0074 en_US
dc.relation.hasversion http://gking.harvard.edu/files/mhs.pdf en_US
dash.license LAA
dc.title Avoiding Randomization Failure in Program Evaluation, with Application to the Medicare Health Support Program en_US
dc.type Journal Article en_US
dc.description.version Version of Record en_US
dc.relation.journal Population Health Management en_US
dash.depositing.author King, Gary
dc.date.available 2011-09-06T19:07:04Z

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  • FAS Scholarly Articles [5138]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University

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