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GBD Technical Training Workshop
The Global Burden of Disease Study 2013 (GBD 2013) is the single largest and most detailed scientific effort ever conducted to quantify levels and trends in health. The Institute for Health Metrics and Evaluation (IHME) is hosting a workshop to train individuals interested in the data, methods, findings, and implications of GBD 2013.
In this workshop, learn from the creators of GBD about the systematic and scientific approach used in GBD 2013. This workshop will provide opportunities for hands-on work using methods, tools, data, and visualizations of GBD 2013, as well as a forum for discussing the implications of results and future work of the GBD study. Components of the training include instruction in the methods behind the GBD approach, key assessment factors for data, the principles that underlie the analytic process, and how to interpret results. Training sessions are intended to promote debate, discussion, and an open exchange of ideas.
- Gain in-depth knowledge of the scientific approach used in the GBD 2013 study;
- Cultivate a robust understanding of the various analytical methods utilized in the GBD 2013 study;
- Enhance expertise in using and interpreting interactive data visualization tools for benchmarking, analysis, and priority setting;
- Improve ability to identify and critique various country-level data sources for burden of disease estimation;
- Expand networking opportunities by joining the GBD and becoming part of a large global community of researchers and policymakers.
- Learn from the creators of the Global Burden of Disease approach, including Christopher Murray, Alan Lopez and Theo Vos.
A great learning opportunity for:
- Good numerical skills;
- Familiarity with a statistical software package and/or Microsoft Excel;
- Understanding of the basic principles, terminology, and research methods used in the fields of epidemiology and biostatistics;
- One to two years of experience with health data, including analysis, cleaning, and collection;
- Keen interest in translating evidence into policy
May 19-30, 2014