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As mentioned above, this approach may lead to uncertain data not feasible for any effect concentration (EC) calculation or to estimate the risk potency of a pollutant.
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To evaluate the robustness of the internal branches of the ML tree, 100 bootstrap replications were calculated for each data set without data partitioning (data partitioning is not feasible for bootstrapping in the current version of RAXML).
However, complete data review is not feasible for clinical research databases whose records typically have dozens if not hundreds of fields that take up multiple screens.
Such data collection efforts are not feasible for this study.
Indexing techniques and index structures applied in the transaction-oriented context are not feasible for data warehouses.
Computation involved in these models is not feasible for data collected over a large number of survey locations.
Algorithms with quadratic cost or above are not feasible for large data sets.
Hence, the use of data derived from microinjection is presumably not feasible for the risk assessment of pollutants.
For example, solar irradiance in night hours generates data points with negative values, therefore not feasible for contribution in the study.
This approach is not feasible for real data and permutations are necessary to assess statistical significance via p-values.
However, this approach was not feasible for our data due to the very large LH lesions in some of the patients (see Fig. 1).
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CEO of Professional Science Editing for Scientists @ prosciediting.com