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Coefficient estimates along with their 95% confidence interval (95% CI) of the mixed-effects generalized linear model with binomial distribution (HMM-SSF + GLMM) and the multi-state correlated random walk model (HMM-CRW) to predict probability that a bison switched from encamped to travelling mode during its travel in summer.

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NIAID Data Ecosystem2026-03-13 收录
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https://figshare.com/articles/dataset/Coefficient_estimates_along_with_their_95_confidence_interval_95_CI_of_the_mixed-effects_generalized_linear_model_with_binomial_distribution_HMM-SSF_GLMM_and_the_multi-state_correlated_random_walk_model_HMM-CRW_to_predict_probability_that_a/20476468
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In the HMM-SSF + GLMM analysis, we used a probability threshold of 0.50 (Pthreshold) to determine transition and non-transition from the conditional probabilities of being in encamped or travelling state, as estimated from the HMM-SSF. Mixed-effects generalized linear model was fitted using 27,101 geolocations from 32 GPS-collared plains bison in Prince Albert National Park (SK, Canada). was set to the actual distance between bison and wolf (dwolf) when dwolf ≤ dthreshold and dthreshold, otherwise. log(dwolf) is the natural logarithm of dwolf.
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2022-08-11
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