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KMID : 0379919860110010033
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Journal of The Korea Socity of Health Informatics and Statistics
1986 Volume.11 No. 1 p.33 ~ p.53
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A Practical Consideration on Matching Methods as Bias Reduction Technique in Epidemiologic Data Analysis
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Abstract
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Observational studies comparing groups of treated and control units are often used to estimate the effects caused by treatments.
Matching is a method for selecting control units so that the sampled control units so that the sampled control group is similar to the treated group with respect to the distribution of the observed convariates X. This paper integragates various matching methods, investigates theoretical properties, and compares each methods through literature rivew.
Validity and efficiency issues are considered with regard to the use of matching and randon sampling as alternative method of subject selection in follow-up and case-control studies.
In follow-up studies, matching on a confounder is expected to lead to a gain in dffciency over random sampling, while matching on a nonconfounder is not expected to result in a loss of efficiency
In case-control studies, the same conclusions hold, except that matching is not as advantageous as in follow-up studies and can lead to a loss of efficiency in some situations.
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