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. 2026 Jan 21;35(2):36. doi: 10.1007/s10646-025-03020-5

Table 3.

Logistic regression model results assessing Imidacloprid detection probability for multiple variables in river otters collected in North Dakota, USA from 2015 to 2020

Model Variable β SE P n
Demographic Intercept -0.43 0.34 0.20 100
Age 0.06 0.08 0.43
SexMale -0.53 0.43 0.22
Major Watershed Intercept -0.69 0.87 0.42 100
James River -15.87 2399.54 0.99
Mouse River -15.87 1696.73 0.99
Red River 0.13 0.89 0.89
Minor Watershed Intercept -0.69 0.87 0.42 100
Elm River -17.87 2917.00 0.99
Forest River 1.10 1.26 0.38
Goose River 0.00 1.12 1.000
James River -17.87 6523.00 0.99
Maple River 0.29 1.08 0.79
Park River 1.61 1.20 0.18
Pembina River -17.87 2663.00 0.99
Red River -17.87 1883.00 0.99
Sheyenne River 0.69 0.96 0.47
Souris River -17.87 4612.00 0.99
Turtle River -0.69 1.41 0.62
Wild Rice River 1.20 1.13 0.29
Distance to Water Intercept -1.22 0.28 0.000 100
Distance 0.83 0.26 0.002
Date Intercept -2.61 1.21 0.03 100
Julian Date 0.04 0.01 0.004
Julian Quadratic 0.00 0.00 0.001
Year Intercept 16.57 2399.54 0.99 100
Year2017 -17.34 2399.54 0.99
Year2018 -17.21 2399.54 0.99
Year2019 -16.94 2399.54 0.99
Year2020 -33.13 2938.83 0.99