| Variance identification and efficiency analysis in randomized experiments under the matched-pair design. | |
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MedLine Citation:
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PMID: 18618425 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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In his 1923 landmark article, Neyman introduced randomization-based inference to estimate average treatment effects from experiments under the completely randomized design. Under this framework, Neyman considered the statistical estimation of the sample average treatment effect and derived the variance of the standard estimator using the treatment assignment mechanism as the sole basis of inference. In this paper, I extend Neyman's analysis to randomized experiments under the matched-pair design where experimental units are paired based on their pre-treatment characteristics and the randomization of treatment is subsequently conducted within each matched pair. I study the variance identification for the standard estimator of average treatment effects and analyze the relative efficiency of the matched-pair design over the completely randomized design. I also show how to empirically evaluate the relative efficiency of the two designs using experimental data obtained under the matched-pair design. My randomization-based analysis differs from previous studies in that it avoids modeling and other assumptions as much as possible. Finally, the analytical results are illustrated with numerical and empirical examples. |
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Authors:
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Kosuke Imai |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. |
Journal Detail:
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Title: Statistics in medicine Volume: 27 ISSN: 0277-6715 ISO Abbreviation: Stat Med Publication Date: 2008 Oct |
Date Detail:
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Created Date: 2008-09-22 Completed Date: 2009-02-12 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8215016 Medline TA: Stat Med Country: England |
Other Details:
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Languages: eng Pagination: 4857-73 Citation Subset: IM |
Copyright Information:
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Copyright 2008 John Wiley & Sons, Ltd. |
Affiliation:
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Department of Politics, Princeton University, Princeton, NJ 08544, USA. kimai@Princeton.Edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Analysis of Variance* Matched-Pair Analysis* Models, Statistical Randomized Controlled Trials as Topic* Treatment Outcome* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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