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Reducing the number of features prior to statistical analyses will result in more accurate multivariate modeling and differential feature selection, as well as decreased reporting of unknowns that often constitute the largest proportion of human metabolomics data.
In the absence of the statistically more accurate multivariate molecular prediction models, the histologic grade, HER2 status and Ki67 may be used as a poor man's alternative to estimate prognosis and chemotherapy sensitivity of ER-positive cancers.
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It suggested that their contents should be also used for the quality control of "Long-Dan" and "Qing-Jiao", which maybe more accurate if multivariate quantitative detection of these bioactive ingredients as control was adapted.
Nevertheless, the potential of obtaining best-fit using nonparametric distributions might be improved because such distributions reproduce the sample's characteristics, resulting in more accurate estimations of the multivariate return period.
A full multivariate model is therefore more accurate than its corresponding risk score, and refitting of an externally-derived multivariate model to the study population further improves model discrimination [21], [22].
Further exploration of multivariate approaches for more accurate discrimination is beyond the scope of this paper.
The 3-miRNA tissue signature developed using multivariate logistic regression was more accurate in discriminating EEC samples in comparison to single miRNAs.
The bivariate and multivariate regression models, although more accurate for a greater number of countries, are also more complex; they were created using regression techniques following a natural log transformation of both the logistics (AMD or AQD and DHSS prevalence data for the method.
Knowledge of the BMI threshold for obesity was a significant predictor of more accurate weight perceptions in men and women in multivariate analyses.
We should keep in mind that a multivariate regression could have provided more accurate results, in particular, the independent effect of the time and that of the law.
For detailed program planning purposes, when high accuracy is more important, the bivariate and multivariate regression models provide slightly more accurate estimates on average in our analysis their average and maximum error values were smaller.
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