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Model ensembles such as multiple statistical approaches, multiple dynamic models or multiple hybrid models for drought predictions were highlighted.
In an attempt to detect loci with possible parent-of-origin effects, we used multiple statistical approaches, rather than relying on a single strategy.
Using multiple statistical approaches, we have identified a set of novel biomarkers that may improve the ability of traditional AD biomarkers, Aβ42 and tau, to distinguish MCI/early-stage AD from cognitive normalcy and to predict the development of future cognitive impairment (i.e. detection of preclinical AD at increased risk of progression).
29 During the last two decades, multiple statistical approaches have been proposed for differential expression testing.
Finally, we evaluated the performance of the two microarray platforms in detecting differential expression using multiple statistical approaches.
A multibiomarker model was developed to assess risk of type 2 diabetes by selecting biomarkers using multiple statistical approaches.
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When the data were pooled across the participating laboratories, four tissues had significant decreases with both the pairwise and multiple comparison statistical approaches from 50 mg DDE/kg bw/day when using 0.4 mg TP/kg bw/day.
The information content provided by the POD method can be effectively utilized for abnormal region detection by multiple algorithmic and statistical approaches and is the most useful when used concurrently with segmentation or model-based CNV detection.
The strengths of our study relate primarily to our reliance on robust methods including: 1) the use of the reference method for estimating insulin sensitivity (hyperinsulinemic euglycemic clamp); the use of a systematic sequential- as opposed to a random approach to OGTT and the clamp studies; 3) the use of multiple and robust statistical approaches to assess the validity of surrogate indices.
Rather than relying solely on conventional statistics to define ERβ association with clinicopathological factors, the authors used two additional statistical approaches: multiple correspondence analysis, and classification and regression tree analysis.
To determine the best method for analyzing the data, multiple software programs and statistical approaches have been developed [ 1- 6].
More suggestions(13)
multiple statistical invisibilities
multiple statistical comparisons
multiple statistical tests
multiple statistical categories
multiple statistical fields
multiple statistical algorithms
multiple statistical models
multiple statistical analyses
multiple statistical relationships
multiple statistical irregularities
multiple new approaches
multiple individual approaches
multiple statistical adjustments
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