Sentence examples for incorrect confidence from inspiring English sources
Ignoring clustering in statistical analyses can also lead to misleading conclusions, including incorrect confidence intervals and p-values.
AUC values in Figures 4 and 5 show that initial (non-trimmed) multiple sequence alignments lead to more incorrect confidence values than those estimated from characters selected by trimming methods.
Incorrect, high confidence calls occurred at SNP densities of 6.44 ~9.14%%.
The analysis therefore took account of a possible correlation of measurements within one person to avoid possible incorrect conventional confidence intervals for the different parameters by using generalized estimating equation methods (PROC GENMOD, SAS version 8.2).
Incorrect, high-confidence calls occurred at SNP densities of 13.66 to 15.23%.
A GLM with predictors of interest (i.e. correct vs. incorrect trials with/without confidence from behavioral data) was applied for the individual z-normalized volume time courses.
Correct, low-confidence calls occurred in regions with approximately 11% SNP density, above which, low confidence, incorrect calls occurred (Table 4).
Additionally, the process by which BLAT groups together proximal matches improves the separation between the scores of correct and incorrect matches, increasing confidence in the result.
A lower risk of physical violence for health staff working with HIV/AIDS patients was reported by Jackson and Ashley in Jamaica [ 45], but the reported risk estimate (OR 0.19; CI 95%, 0.22 0.99) is obviously incorrect, since the confidence interval does not include the estimated odds ratio.
A gene was defined to be correctly predicted if the gene was exactly the same as in the high-confidence set, and incorrect if the high-confidence set did not contain gene that matched exactly.
At differences of 3 ~4 SNPs/oligo, high-confidence incorrect calls are common, which result in positive misidentification of SNPs; 28% and 34% of the chimpanzee and gorilla genomes fall in this category.
