<p>*)The estimated odds ratio For quantitative explanatory variables indicates the percent change in the odds of E+ vole being captured for each 1-unit increase in the explanatory variable. For example, for every one day increase in the length of the feeding period, the odds of E+ vole being captured increases by 15%. For categorical variable sex the of 0.55 implies that for females the odds of E+ vole being captured is 0.55 times the odds for males, i.e. 45% lower.</p><p>†)The 95% confidence interval for the indicates the range of values within which the odds ratio from 95 of 100 similar studies would be expected to fall. The 95% CI also indicates the precision of the estimated .</p
Data on field captured female bank voles (n=890) to examine the breeding probability (BRED: 0=no, 1=...
<p>Multivariable logistic regression modeling identified sex and habitat as independent prognostic f...
Data on field captured female bank voles (n=890) to examine the breeding probability (BRED: 0=no, 1=...
<p>The model outputs are for the primary capture session of June. The baseline probability detection...
<p>Model-averaged parameter estimates shown as odds ratios and 95% confidence intervals for explaini...
Graham & Lambin (2002) have reported on a weasel-reduction experiment, concluding that the impac...
<p>In May (first capture session, left panel), detection rate increased over time with no difference...
<p>Estimated effects sizes (model-averaged coefficients from mark-recapture models) of the abundance...
<p>All models also include pack identity as a random effect. For risk factors measured as continuous...
<p>Predicted probabilities of a bank vole being PUUV infected in relation to forest age and concurre...
The optimal generalized additive model to predict adult BDs in both M. erminea (n = 323) and M. niva...
<p>Assumptions, predictions and results, in fat print the treatment differing from the two others. G...
<p>Results of an all-subsets logistic regression analysis to predict the occurrence of Bornean felid...
<p>Results of the logistic regressions used to estimate the probability of elimination at each vet g...
<p>Whole models (comparing the fitted model against the intercept-only model) and the effect of the ...
Data on field captured female bank voles (n=890) to examine the breeding probability (BRED: 0=no, 1=...
<p>Multivariable logistic regression modeling identified sex and habitat as independent prognostic f...
Data on field captured female bank voles (n=890) to examine the breeding probability (BRED: 0=no, 1=...
<p>The model outputs are for the primary capture session of June. The baseline probability detection...
<p>Model-averaged parameter estimates shown as odds ratios and 95% confidence intervals for explaini...
Graham & Lambin (2002) have reported on a weasel-reduction experiment, concluding that the impac...
<p>In May (first capture session, left panel), detection rate increased over time with no difference...
<p>Estimated effects sizes (model-averaged coefficients from mark-recapture models) of the abundance...
<p>All models also include pack identity as a random effect. For risk factors measured as continuous...
<p>Predicted probabilities of a bank vole being PUUV infected in relation to forest age and concurre...
The optimal generalized additive model to predict adult BDs in both M. erminea (n = 323) and M. niva...
<p>Assumptions, predictions and results, in fat print the treatment differing from the two others. G...
<p>Results of an all-subsets logistic regression analysis to predict the occurrence of Bornean felid...
<p>Results of the logistic regressions used to estimate the probability of elimination at each vet g...
<p>Whole models (comparing the fitted model against the intercept-only model) and the effect of the ...
Data on field captured female bank voles (n=890) to examine the breeding probability (BRED: 0=no, 1=...
<p>Multivariable logistic regression modeling identified sex and habitat as independent prognostic f...
Data on field captured female bank voles (n=890) to examine the breeding probability (BRED: 0=no, 1=...