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. 2014 Mar 27;9(3):e89843. doi: 10.1371/journal.pone.0089843

Table 1. Estimates of nominal CWD surveillance weights for 8 classes of mule deer from Colorado (data from WM[15]) using a binomial complementary log-log regression model with Bayesian and maximum likelihood approaches, as well as a Poisson regression model.

Binomial Poisson C/N
Mortality Source Bayesian (SD) MLE (SD) MLE (SD)
Suspect-F 14.1 (2.40) 14.1 (2.4) 11.6 (1.6) 40/111
Suspect-M 12.2 (2.05) 12.2 (2.06) 10.3 (1.46) 40/125
Other 1.9 (0.24) 1.9 (0.25) 1.9 (0.24) 77/1,300
Harvest-adult-M 1 (NA) 1 (NA) 1 (NA) 313/10,046
Harvest-adult-F 0.57 (0.06) 0.57 (0.06) 0.58 (0.06) 104/5,782
Harvest-juv-F 0.44 (0.15) 0.44 (0.15) 0.45 (0.15) 9/645
Harvest-juv-M 0.25 (0.08) 0.25 (0.08) 0.25 (0.08) 11/1,329
Harvest-fawn 0.03 (0.03) 0. 03 (0.03) 0.03 (0.03) 1/999

Notes: The Harvest-adult-M category is used as the reference class in these analyses, as in WM [15]. We provide both the count of CWD positive animals (C) and the total number sampled (N) from WM [15].