ICPSR Data Holdings 2006
DOI: 10.3886/icpsr04343.v1
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Puerto Rico Census Project, 1910

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Cited by 2 publications
(3 citation statements)
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“…A recent analysis of ELSA and HRS confirms that results obtained with self reported hypertension and diabetes corresponds closely with those obtained from biomarkers (Banks et al, 2006). Similarly, a study of elicited symptoms for diabetes and circulatory illness confirms a high degree of correspondence with self reports for the PREHCO sample (Palloni and White, 2006). Finally, in a study of a large national sample of Mexican adults (ENSA) and comparable national sample of adults in the United States (NHANES) it was shown that SES gradients estimated using self reported diabetes and hypertension are remarkably similar to those obtained using biomarkers for both conditions (Wong et al, 2008).…”
Section: Data Model and Measurementmentioning
confidence: 63%
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“…A recent analysis of ELSA and HRS confirms that results obtained with self reported hypertension and diabetes corresponds closely with those obtained from biomarkers (Banks et al, 2006). Similarly, a study of elicited symptoms for diabetes and circulatory illness confirms a high degree of correspondence with self reports for the PREHCO sample (Palloni and White, 2006). Finally, in a study of a large national sample of Mexican adults (ENSA) and comparable national sample of adults in the United States (NHANES) it was shown that SES gradients estimated using self reported diabetes and hypertension are remarkably similar to those obtained using biomarkers for both conditions (Wong et al, 2008).…”
Section: Data Model and Measurementmentioning
confidence: 63%
“…There is no reason to suspect that people who misreport early conditions are more (or less) likely to also misreport chronic illnesses. Indeed, in a preliminary report on the quality of reporting of the Puerto Rican Elderly study it is shown that variability in reporting of early conditions across two waves (which should be ideally nil) is unrelated to variability in reporting chronic illnesses (Palloni and Garcia, 2008)…”
Section: Data Model and Measurementmentioning
confidence: 99%
“…We use PREHCO (Puerto Rican Elderly Health Conditions) data base [51]. PREHCO is a twowave panel of the non-institutionalized Puerto Rican population aged 60 and over and their surviving spouses.…”
Section: Datamentioning
confidence: 99%