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This linkage technique was validated in an earlier study by Kemmeren et al. [ 16].
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Probabilistic data linkage techniques were utilised for these purposes and deidentified datasets were provided for analysis.
Probabilistic linkage techniques were used to identify the study participants and their mental health diagnoses.
Record linkage techniques are widely used to enable health researchers to gain event based longitudinal information for entire populations.
Record linkage techniques are used widely in epidemiological studies to obtain comprehensive information and conduct more robust analyses [ 1- 13].
Several studies have demonstrated that probabilistic linkage techniques are more robust against errors, and result in better linkage quality than deterministic methods [ 5- 7].
Record linkage techniques are widely used in public health to enable researchers to gain event based longitudinal information for entire populations.
The loss of privacy can be minimised by strict observance of procedures designed to maintain confidentiality, but it cannot be eliminated entirely when conventional record linkage techniques are employed.
To allow researchers to gain a picture of an individual's health over time, data linkage techniques are utilised to identify which administrative records from multiple datasets belong to the same person.
Deterministic record linkage techniques were used to compare LTCF resident medication information captured in prescription drug administrative data and RAI-MDS data for the entire LTCF population of a Canadian province.
Record linkage techniques were used to compare the details of the parents of both cases and controls with those of radiation workers held on the NRRW (Kendall et al, 1992; Muirhead et al, 1999) to identify those parents who were monitored radiation workers before the conception of the child.
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