Table 1.
Agency sample details.
Table 2.
Regional distribution of casework for the three agencies.
Region 1 (AZ, CO, HI, NM, NV, UT, Guam, Saipan), Region 2 (AK, ID, MN, MT, ND, OR, SD, WA, WY), Region 3 (IA, IL, IN, KS, MO, NE, OH, WI), Region 4 (AR, LA, OK, TX), Region 5 (AL, KY, MS, PA, TN, WV), Region 6 (CT, MA, ME, MI, NH, NY, RI, VT), Region 7 (FL, GA, NC, SC, Puerto Rico, US Virgin Islands), Region 8 (DE, MD, NJ, VA, District of Columbia), Region 9 (CA).
Table 3.
A comparison of the decedent demographic and case identification details of the three agencies.
Table 4.
Results of the Chi-square tests for comparing inter-agency demographic variation and identification rates.
Shaded cells indicate statistical significance of test for the adjusted p values.
Fig 1.
Pooled sample identification rates (0–100%) per decedent demographic data.
Table 5.
Tests of identification rate variation and decedent demographic data.
Pooled and agency-specific tests performed. Shaded cells indicate significance of adjusted p-value.
Fig 2.
Agency-specific identification rates (0–100%) per decedent demographic data.
Fig 3.
Estimated probabilities of identification for the combination of demographic factors (sex and race and/or ethnicity).
Note the overlaps among subsamples suggest the effects of demographic factors on identification probabilities are small.
Table 6.
Odds ratios of identification status estimated from the multivariate mixed effect logistic regression model.
The reference categories (odds ratio = 1) are female, adolescent, and White.
Table 7.
Wilcoxon/Kruskal Wallis Tests for investigation duration differences among decedent demographics.
Shaded cells indicate significance of adjusted p-value.
Fig 4.
Comparison of the probabilities of identification for cases when no biological profile components are estimated versus when sex, age and ancestry are all estimated.
An increase in identification probability is evident when all biological profile components are estimated (26.7% probability of identification with no biological profile component estimated vs. 50.1% probability of identification with all biological profile components estimated).
Table 8.
Testing for the effect of reporting vs. not reporting bio profile information (sex, race, or both sex and race) on identification rate.
The "n/a" status for the UNT age test is because age was estimated in all cases and thus the test could not be performed. Shaded cells indicate statistical significance of test for the adjusted p values.
Fig 5.
Identified case sample, comparing the proportion of decedent race and ethnicity subsamples for when ancestry was and was not estimated.