TY - JOUR AU - Randall, Sean AU - Brown, Adrian AU - Boyd, James AU - Schnell, Rainer AU - Borgs, Christian AU - Ferrante, Anna PY - 2018 DA - 2018/09/03 TI - Sociodemographic differences in linkage error: an examination of four large-scale datasets JO - BMC Health Services Research SP - 678 VL - 18 IS - 1 AB - Record linkage is an important tool for epidemiologists and health planners. Record linkage studies will generally contain some level of residual record linkage error, where individual records are either incorrectly marked as belonging to the same individual, or incorrectly marked as belonging to separate individuals. A key question is whether errors in linkage quality are distributed evenly throughout the population, or whether certain subgroups will exhibit higher rates of error. Previous investigations of this issue have typically compared linked and un-linked records, which can conflate bias caused by record linkage error, with bias caused by missing records (data capture errors). SN - 1472-6963 UR - https://doi.org/10.1186/s12913-018-3495-x DO - 10.1186/s12913-018-3495-x ID - Randall2018 ER -