RECORD LINKAGE Sample Clauses

RECORD LINKAGE. The User shall not attempt to identify or contact any specific individual whose record is included in the files listed in section 5 above. The User agrees that, absent express written authorization from the CMS signatory designated in section 20 below, the User shall not attempt to link records included in the file(s) specified in section 5 above to any other individually identifiable source of information. This includes attempts to link the data to other CMS data. A protocol that includes the linkage of specific files that has been approved in accordance with section 4 above constitutes expressed authorization from CMS to link files as described in the protocol.
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RECORD LINKAGE. Record linkage is a technique which compares records contained in two files A and B, in order to determine pairs of records pertaining the same population unit. Through record linkage it is possible to obtain a new file where information form A and B is available for population units represented in both files. The A and B files are supposed to contain identical units that have to be found according to an identifier (like the social security number) or a set of identifying variables (k variables) present in both files. Record linkage is also known as exact matching and computerized matching. Figure 2 Illustration of record linkage A file k variables k variables B file file A variables Matched file k variables file B variables Figure 1 illustrates the principle of record linkage. Darker rows in A and B identify the same population units present in the files. Through record linkage, record pairs relating to the same population units are singled out and recorded in a new file called matched file. In order to apply record linkage three requirements must necessarily be met (Scanu 2003, p. 17):
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RECORD LINKAGE. Statistical Models for Matching Computer Records, Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 153, No. 3 (1990), pp. 287-320
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RECORD LINKAGE. Combining information from a variety of Data sources for the same individual.
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