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Furthermore, this paper adopted the method presented by Oshiro and Alves [14] to establish the corrected similarity relation between incomplete scale-down models and prototype.
Data from incomplete scales (i.e. missing values for one or more items) were excluded from statistical analysis for the respective visit and patient.
If more than 50% of the items are missing or incomplete, the scale score is not computed.
When a HADS questionnaire was partially incomplete, the scale values were estimated by assuming that the missing item(s) had a value equal to the average of those in existence, provided that no more than three items of a subscale were missing.
Although it has presently evaded us, it is clear that there is a critical need for a quantitative (even if incomplete) continuous scale or measurement that can be used as a practical tool to evaluate the "aliveness" of any given system.
The overestimation of the advective velocity and the extent of reactions by the Darcy-scale model are due to incomplete pore-scale mixing.
Incomplete and scaled isospectral systems also are indicated.
Proposals to evaluate the status of environmental health in a region must consider factors including the diversity of indicators, geographical scale, incomplete or inaccurate data and the need for focused methodologies that capture the complexity of this subject.
[ 1] A 51-year male developed an incomplete tetraplegia (ASIA scale D) in 1997 when he slipped and fell backwards on his head.
The incomplete cases per scale (YSR, ASR, FAD) were imputed to maximize the number of complete cases with corrected item mean imputation (CIM) [ 32] in which person information as well as scale information was used.
Feature selection (attribute reduction) from large-scale incomplete data is a challenging problem in areas such as pattern recognition, machine learning and data mining.
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