Predictive modeling: Moira L. Wilson, Sarah Tumen and Anthony G. Simmens potential application in prevention services
By: Wilson, Moira L
.
Contributor(s): Tumen, Sarah | Simmens, Anthony G.
Material type: 
ArticleSeries: American Journal of Preventive Medicine.Publisher: Elsevier, 2014Description: electronic document (60 pages); PDF file: 1.49 MB.Subject(s): CHILD PROTECTION | INTERVENTION | PREDICTIVE RISK MODELLING | SOCIAL SERVICES | NEW ZEALAND | CHILD ABUSEOnline resources: Read abstract | Access the website
In:
American Journal of Preventive Medicine, 2015, 48(6): 509–519Summary: In 2012, the New Zealand Government announced a proposal to introduce predictive risk models (PRMs) to help professionals identify and assess children at risk of abuse or neglect as part of a preventive early intervention strategy, subject to further feasibility study and trialing. The purpose of this study is to examine technical feasibility and predictive validity of the proposal, focusing on a PRM that would draw on population-wide linked administrative data to identify newborn children who are at high priority for intensive preventive services. (from the abstract). For all the papers written for MSD, follow the access the website link. Record #4699
American Journal of Preventive Medicine, 2015, 48(6): 509–519
In 2012, the New Zealand Government announced a proposal to introduce predictive risk models (PRMs) to help professionals identify and assess children at risk of abuse or neglect as part of a preventive early intervention strategy, subject to further feasibility study and trialing. The purpose of this study is to examine technical feasibility and predictive validity of the proposal, focusing on a PRM that would draw on population-wide linked administrative data to identify newborn children who are at high priority for intensive preventive services. (from the abstract). For all the papers written for MSD, follow the access the website link. Record #4699
