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First, as anticipated above, most of the works listed in Table 2 do not provide clear statements about model selection outcomes; this actually hinders the reproducibility of the experiments.
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The results were further used for the "segselect" function, which uses an adaptive model selection [ 71] between outcomes with different numbers of breakpoints K.
We compared the variables included in the final model by either using model selection that did not consider diagnostic outcome, or by retaining diagnostic outcome in the model throughout variable selection.
The DA model correctly classified 58% of the selection outcomes in mussels and 57% in oysters.
According to the model selection strategy described above, the final model for all outcomes contained only two lags: lag 0 (exposure and outcome measured during the same 30-min segment) and lag 1 (exposure measured during the previous 30 min).
We show that testing the Roy model selection is equivalent to testing stochastic monotonicity of observed outcomes relative to the instrument.
Hypoxia as an outcome of hyposaline water is suggested from the result of the statistical model selection.
Backward model selection is applied to detect important covariates associated with good outcome [ 17, 18].
A common model selection process was used for each of the eight quality of life outcomes.
The same variables were identified as predictors when diagnostic outcome was included and when excluded from the model selection process.
Model selection of external drivers indicates that governance phases, reflected as perceived abundance, dictate long-term outcomes.
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