Selection of neighborhood controls for a population-based Lyme disease case-control study by using a commercial marketing database
NP Connally, K Yousey-Hindes… - American journal of …, 2013 - academic.oup.com
NP Connally, K Yousey-Hindes, J Meek
American journal of epidemiology, 2013•academic.oup.comThe selection of controls is an important methodological consideration for case-control
studies. Neighborhood-matched control selection is particularly crucial for studies of vector-
borne disease, such as Lyme disease, for which risk is intrinsically linked to geographical
location. The matching of case-control pairs on neighborhood can help control for variation
in ecological risk factors that are tied to geographical location, like vector and host habitat in
the peridomestic environment. Random-digit dialing has been used to find neighborhood …
studies. Neighborhood-matched control selection is particularly crucial for studies of vector-
borne disease, such as Lyme disease, for which risk is intrinsically linked to geographical
location. The matching of case-control pairs on neighborhood can help control for variation
in ecological risk factors that are tied to geographical location, like vector and host habitat in
the peridomestic environment. Random-digit dialing has been used to find neighborhood …
Abstract
The selection of controls is an important methodological consideration for case-control studies. Neighborhood-matched control selection is particularly crucial for studies of vector-borne disease, such as Lyme disease, for which risk is intrinsically linked to geographical location. The matching of case-control pairs on neighborhood can help control for variation in ecological risk factors that are tied to geographical location, like vector and host habitat in the peridomestic environment. Random-digit dialing has been used to find neighborhood controls by using the area code and exchange of the case to generate lists of potential control households. An alternative to random-digit dialing is the purchase of residential telephone numbers from a commercial marketing database. This report describes the utility of the InfoUSA.com (InfoGroup, Papillion, Nebraska) commercial marketing database for neighborhood control recruitment in a Lyme disease case-control study in Connecticut during 2005–2007.
Oxford University Press
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