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Limiting linkages to deterministic matches also resulted in biased HRs, with unmarried mothers (3.1 vs 3.8), and low maternal education (2.3 vs 3.1) all reporting underestimated HRs, and maternal smoking (3.6 vs 2.9) overestimating the HR.
The questionable matched-pairs consisted of those deterministic matches that disagreed in either sex or birth date or those probabilistic matches with a score in the middle range.
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The matching process involved deterministic matching first, then probabilistic matching, for both hospital datasets.
When staff from VSTORM and the author reviewed the matching process and undertook different combinations of deterministic matching another 147 records were identified.
The deterministic match used first name, last name, and date of birth variables to create an identifier to link the two datasets.
Simple deterministic matching is usually used to link datasets when matching using an SLK.
The first real link involved deterministic matching between the EMS (n = 6,261) and VSTORM datasets.
We used deterministic matching to identify persons in BCBST and TDH data.
Deterministic matching using unique variables in two datasets is achievable in small datasets with accurate data.
The deterministic match keys were based on (but not limited to) components of the common SLK.
The deterministic algorithm resulted in up to an 11% increase in links compared with simple deterministic matching using an SLK.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com