Evaluating predictors of geographic area population size cut-offs to manage re-identification risk.
In public health and health services research, the inclusion of geographic information in data sets is critical. Because of concerns over the re-identification of patients, data from small geographic areas are either suppressed or the geographic areas are aggregated into larger ones. Our objective is to estimate the population size cut-off at which a geographic area is sufficiently large so that no data suppression or further aggregation is necessary.
Author(s): El Emam, Khaled, Brown, Ann, AbdelMalik, Philip
DOI: 10.1197/jamia.M2902