The dirty war index: statistical issues, feasibility, and interpretation.
Taback
Nathan
N
Dalla Lanna School of Public Health, University of Toronto, Toronto, Ontario, Canada. nathan.taback@utoronto.ca
D000293:Adolescent; D000328:Adult; D002648:Child; D003627:Data Interpretation, Statistical; D005240:Feasibility Studies; D005260:Female; D006305:Health Status Indicators; D006806:Human Rights; D006801:Humans; D038622:Internationality / Q000331:legislation & jurisprudence*; D054527:Mass Casualty Incidents / Q000706:statistics & numerical data; D008889:Military Personnel / Q000706:statistics & numerical data; D011634:Public Health / Q000706:statistics & numerical data; D011902:Rape / Q000706:statistics & numerical data; D015203:Reproducibility of Results; D015983:Selection Bias; D014857:Warfare / Q000941:ethics