Calculating expected years of life lost for assessing local ethnic disparities in causes of premature death1 Division of Epidemiology, School of Public Health, University of California, Berkeley, California, USA 2 Community Health Epidemiology, San Francisco Department of Public Health, San Francisco, California, USA 3 Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
BMC Public Health 2008, 8:116doi:10.1186/1471-2458-8-116
Additional filesAdditional file 1: Leading causes of premature death by ethnicity and sex, San Francisco, 2003–2004. This file contains tables for the leading causes of premature death by ethnicity and sex. We illustrate how these methods can be repeated for population subgroups to inform and guide public health priorities. Format: PDF Size: 56KB Download file This file can be viewed with: Adobe Acrobat Reader Additional file 2: Cause of death classification using International Classification of Diseases, 10th Revision (ICD-10) codes. This file contains the ICD-10 codes used for our cause of death categories, which were adapted from the World Health Organization Global Burden of Disease Study [15] and the Centers for Disease Control and Prevention External Cause of Injury Mortality Matrix [16]. Format: PDF Size: 39KB Download file This file can be viewed with: Adobe Acrobat Reader Additional file 3: Open source programming code for calculating expected years of life lost. This file contains R programming code to calculate expected years of life lost. R is a comprehensive, open source software package for statistical computing and graphics [19]. Format: PDF Size: 57KB Download file This file can be viewed with: Adobe Acrobat Reader |




on Google Scholar







author email
corresponding author email