Abstract
Background/Aims Data joins have historically been done using deterministic linkage techniques which require exact data matches to succeed. For data extracted from disparate sources, requiring an exact match may be too limiting. Probability-based linkage techniques have gone from an arcane art involving expensive third-party software to having multiple free and commercial options available for use. We will walk through the theoretical underpinnings of the probability-based linkage theory used by many record linkage applications today.
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