Table 3. Summary of mixed-effects logistic regression model using stand as a random effect and the odds of missed position updates as the response.

Model term	Estimate	SE	Lower CI	Upper CI	t-value	DF	p-value
(Intercept)	0.0187	0.2759	0.0109	0.0321	−14.4247	Inf	3.6198 × 10−47
TVi	0.9331	0.0138	0.9082	0.9588	−5.0028	Inf	5.6502 × 10−07
TPH*0.01	1.1048	0.0313	1.0391	1.1747	3.1837	Inf	1.4539 × 10−03
Convexa	1.6084	0.2264	1.0320	2.5067	2.0989	Inf	3.5823 × 10−02
Streama	0.6552	0.1967	0.4455	0.9634	−2.1495	Inf	3.1597 × 10−02
Forest roada	2.0042	0.1644	1.4522	2.7659	4.2298	Inf	2.3395 × 10−05
Aspect (E)	1.0531	0.3147	0.5683	1.9515	0.1644	Inf	8.6941 × 10−01
Aspect (N)	2.1718	0.3011	1.2038	3.9182	2.5761	Inf	9.9911 × 10−03
Aspect (W)	2.9186	0.2843	1.6719	5.0950	3.7679	Inf	1.6464 × 10−04

Coefficient estimates, standard errors, and lower and upper bounds have been exponentiated to be on the odds scale.

^a Indicator variables represent the presence of each respective feature.