Quantifying sources of bias in longitudinal data linkage studies of child abuse and neglect: measuring impact of outcome specification, linkage error, and partial cohort follow-up

BACKGROUND: Health informatics projects combining statewide birth populations with child welfare records have emerged as a valuable approach to conducting longitudinal research of child maltreatment. The potential bias resulting from linkage misspecification, partial cohort follow-up, and outcome mi...

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Detalles Bibliográficos
Autores principales: Parrish, Jared W., Shanahan, Meghan E., Schnitzer, Patricia G., Lanier, Paul, Daniels, Julie L., Marshall, Stephen W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Original Contribution
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5545181/
https://www.ncbi.nlm.nih.gov/pubmed/28762156
http://dx.doi.org/10.1186/s40621-017-0119-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5545181/
https://www.ncbi.nlm.nih.gov/pubmed/28762156
http://dx.doi.org/10.1186/s40621-017-0119-6

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