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Adrian Sayers, Yo av Bensalem, Ashley W. Blog and Fiona SteeleProbabilistic record linkage Article (Published version) (Refereed) Original citation: Sayers, Adrian, Bensalem, Yo av, Blog, Ashley W.

How to fill out probabilistic record linkage

How to fill out probabilistic record linkage

1. Start by gathering the datasets that you want to link. These datasets should contain the records that you want to match.
2. Preprocess the datasets by standardizing and cleaning the data. This may involve removing duplicates, normalizing formats, and correcting errors.
3. Determine the similarity measure that you want to use for record comparison. This measure should quantify the similarity between two records.
4. Assign weights to the different attributes or fields that you want to consider for the linkage process. Some attributes may be more reliable or informative than others.
5. Apply a probabilistic record linkage algorithm, such as the Fellegi-Sunter method or the Expectation-Maximization algorithm, to compute the likelihood of a match between records.
6. Set a threshold or cutoff value for determining when a pair of records is considered a match. This threshold should be based on the computed likelihood or similarity score.
7. Evaluate the accuracy of the record linkage process by comparing the linked records with ground truth or manual matching. This evaluation can help fine-tune the parameters and improve the linkage results.

Who needs probabilistic record linkage?

1. Probabilistic record linkage is useful for various applications:
2. - Government agencies may use it for merging and deduplicating large databases containing information about individuals, such as social security records or voter registration lists.
3. - Healthcare organizations can use it to reconcile patient records across different systems and identify potential duplicate records.
4. - Marketing companies may employ probabilistic record linkage to merge customer data from multiple sources and create a unified view of customer behavior.
5. - Researchers in social sciences or demography may need record linkage to combine data from different surveys or administrative sources for analyzing population trends.
6. - Legal and law enforcement agencies can use it for investigating and tracking individuals by linking records from various sources.

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