Matching

David G. Kleinbaum, Kevin M. Sullivan and Nancy D. Barker
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David G. Kleinbaum: Emory University, Rollins School of Public Health
Kevin M. Sullivan: Emory University, Department of Epidemiology Rollins School of Public Health

Chapter LESSON 15 in ActivEpi Companion Textbook, 2013, pp 477-515 from Springer

Abstract: Abstract Matching is an option for control that is available at the study design stage. We previously introduced matching on page 13-2 in Lesson 13. We suggest that you review that activity before proceeding further with this lesson. The primary goal of matching is to gain precision in estimating the measure of effect of interest. There are other advantages to matching as well, and there are disadvantages. In this lesson, we define matching in general terms, describe different types of matching, discuss the issue of whether to match or not match, and describe how to analyze matched data.

Keywords: Precision Gain; Matching Strata; CMLE Method; Conditional Maximum Likelihood Estimation (CMLE); Matching Variables (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4614-5428-1_15

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DOI: 10.1007/978-1-4614-5428-1_15

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