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During the third step, modeling, the average experimental value was used if the difference between the duplicates was not significantly high (based on the standard deviation of the whole dataset).
All variables significant on univariate analyses and having biological plausibility were entered in multivariate logistic regression model using forward step modeling.
This step should be used to avoid mutual confusion of different effects if there is no collinearity, and a second analysis step modeling only the most prominent effects can increase the power, although this is subject to the above caveats.
The number of covariates entering at the second step in the multiple logistic regression model was reduced by manual variable selection based on the first step modeling results to avoid over-fitting.
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The C stocks we use are primarily based on mature forest stands; however, the stock-flow model runs at an annual time-step, modeling incremental growth and decay.
Open image in new window Fig. 2 STEP model analysis.
Top right: m×n template representing a basic step model.
Weekly step models were used for the poultry farms, and monthly step models for other livestock farms and crop industries.
The three-dimensional (3-D) Step Model (Bender, C.J., Dean, R.G., 2003.
The display visualizes each dance step of a basic step model in a separate window.
From these five cycles of training data, a basic step model was inferred.
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