The Dirty War Index: A Public Health and Human Rights Tool for Examining and Monitoring Armed Conflict Outcomes
Author Information
Author(s): Nathan Taback
Primary Institution: University of Toronto
Hypothesis
How can the Dirty War Index be effectively calculated and interpreted in the context of armed conflict?
Conclusion
The Dirty War Index can provide valuable insights into the health effects of conflict, but its calculation and interpretation are fraught with statistical challenges.
Supporting Evidence
- The Dirty War Index systematically identifies rates of undesirable war outcomes.
- Selection bias can lead to inaccurate estimates of the Dirty War Index.
- Missing data can complicate the calculation of the Dirty War Index.
- Censoring can result in underestimating the severity of conflict outcomes.
Takeaway
The Dirty War Index helps us understand how bad things get during wars, but figuring out the numbers can be tricky.
Methodology
The Dirty War Index is calculated as the ratio of 'dirty' outcomes to total cases, but faces issues like selection bias and missing data.
Potential Biases
Selection bias from using secondary sources may affect the accuracy of the Dirty War Index.
Limitations
The use of secondary sources can lead to selection bias, making the results less generalizable.
Digital Object Identifier (DOI)
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