Improving the quality of road injury statistics by using regression models to redistribute ill-defined events

Saeid Shahraz; Kavi Bhalla; Rafael Lozano; David Bartels; Christopher J L Murray

doi:10.1136/injuryprev-2011-040178

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Improving the quality of road injury statistics by using regression models to redistribute ill-defined events

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Saeid Shahraz Schneider Institute for Health Policy, Heller School of Social Policy and Management, Brandeis University, Cambridge, Massachusetts, USA PubMed articles Google scholar articles
Kavi Bhalla Department of Global Health and Social Medicine, Harvard School of Public Health, Harvard University, Boston, Massachusetts, USA PubMed articles Google scholar articles
Rafael Lozano Institute of Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA PubMed articles Google scholar articles
David Bartels Harvard Medical School, Boston, Massachusetts, USA PubMed articles Google scholar articles
Christopher J L Murray Institute of Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA PubMed articles Google scholar articles

Correspondence to Dr Saeid Shahraz, Heller School of Social Policy and Management, Brandeis University, 165 Pleasant St, Unit 112, Cambridge, MA 02139, USA; shahraz{at}brandeis.edu

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Citation

Shahraz S, Bhalla K, Lozano R, et al

Improving the quality of road injury statistics by using regression models to redistribute ill-defined events

Injury Prevention 2013;19:1-5.

Publication history

Accepted February 10, 2012
First published April 13, 2012.

Online issue publication

January 22, 2013

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