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This contrasts with our initial finding that categorizing cluster residency status by using physical descriptions of address extracted from ART clinic registers was extremely unreliable, with a high proportion of cases in which research assistants were unable to categorize or agree on cluster residency status.
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For example, office address information extracted from LinkedIn, a professional networking site, could be fed into Google Maps, creating a map of my colleagues' places of business.
For each woman the unique person number, name, and address were extracted.
For each identified unique death in a commune, demographic information of the deceased (age, sex, marital status, education, occupation, location of residence) and household address were extracted into a separate file to help locate the household for subsequent VA interviews.
Telephone numbers and addresses were extracted from the routine NBS database.
No personally identifiable data (i.e. names, addresses) were extracted from the PIMS database.
Patient addresses were extracted from membership databases and were used to determine the patient's census block group.
The coordinates/postal addresses were extracted from the animal holding database of the Swedish Board of Agriculture.
Using PHP 5.2 scripts developed by the authors, URL addresses were extracted from the titles and abstracts of MEDLINE journals.
Cases' residential addresses at the time of AMI were collected from the review of hospital medical records, and the controls' residential addresses were extracted from the resident lists.
That is, relevant information (e.g. methods used for assessing satisfaction, sample size, research questions addressed) was extracted from each of the 128 articles to determine their eligibility for the current review.
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CEO of Professional Science Editing for Scientists @ prosciediting.com