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Indicator selection is a critical step in conducting effective strategic cumulative effects assessments.
Indicator selection is usually done by experts and/or through participatory approaches and often little is known about the robustness of the selection stage, its utility, accuracy, validity, feasibility and redundancy.
Data reduction, in this case by indicator selection, is only considered in the components where instability is suspected in the CATPCA solution and corrected by the exclusion of variables.
The justification of the indicator selection is as follows: Participation is the most commonly cited, defining factor of individual and community empowerment (3, 6, 8, 11– 13, 26).
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In addition to validity and feasibility, indicator selection was guided by other criteria such as scientific acceptability, importance and necessity, and usability [ 16].
Indicator selection was based on availability of complete longitudinal data and "stable" definitions (i.e., measure definition did not change during the period covered by the data).
Indicator selection was based on knowledge of cellular and molecular pathways of sepsis from experts in the field and extensive literature review [ 4, 17– 28].
Indicators selection is used to improve diagnosis performances by the help of a hybrid approach using several selection criteria and different classifiers.
Our results suggest that strategic CEAs will benefit if indicator selections are not made independently for each VC.
No indicator of selection was significant in the study by Voight et al. [44], with peaks of marginal significance only at PSD3, a gene located 200 kb 3' to NAT2.
As a result, the definition of prognostic indicators enabling precise patient selection is mandatory for neoadjuvant or adjuvant therapies.
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