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Exact(5)
With a small sample size of n = 20 all of the principal component methods had low power.
Remaining methods had low use and helpfulness.
The HKLOD method also worked reasonably well, but the EE(Residual), SLOD and MLOD methods had low power.
Serum samples were collected in a standardized way and stored at −80°C, laboratory methods had low CVs, and there were a relatively large number of subjects, i.e., good statistical power.
The authors found that biopsy-based methods had low sensitivity and high specificity; UBT had high accuracy; stool antigen tests were less accurate; and serology, though not influenced by UGI bleeding, was not recommended as the first test.
Similar(55)
These methods have low computational complexity and fast convergence.
Usually, the spatial deinterlacing methods have low computational power.
In general, both learning methods have low RMSE values across each study area.
Wafer scale fabrication methods have low throughput and are limited to small areas [33 36].
The presented methods have low computation times; consequently, they can be applied to screen large databases.
All methods have low computation times which make them applicable to screen large data sets.
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