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Even without taking into account ecological factors, lag times can also be explained by simple logistic population growth (Sakai et al. 2001).
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*Odds Ratio (OR) calculated by simple logistic regression.
Our plan was to compare the groups, besides by simple logistic regression, by multilevel logistic regression to accommodate the cluster effect.
Associations between CAD and all other parameters were first analyzed by simple logistic regression analysis and then by multivariate analysis.
Effects of the child variables and contextual variables on a competence judgment were expressed with odds ratios (OR) and their 95%% confidence intervals obtained by simple logistic regression.
We estimated its trajectory using a simple logistic model of population growth applied to recent population growth rate and historical abundance data.
For this illustration, we assumed that grouse density, in the absence of predation, is determined by a simple logistic model.
Crude ORs for continuous variables were obtained by using simple logistic regression.
Univariate analysis was performed by using simple logistic regression for association between independent and outcome variables.
The function β(b0, b1, i) models the probability of expansion by a simple logistic regression.
In addition, crude odds ratios calculated by a simple logistic regression were used to identify factors related to in-migration.
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