Sentence examples for multiple testing methods from inspiring English sources
In this chapter, we will underscore how to design experiments in order to be able to answer questions posed by the investigator, the different normalization strategies used and their assumptions, the different types of statistical analysis and adjustments for multiple testing, methods of uncovering patterns in the data, and strategies to find meaning in the results.
Multiple testing methods normally used in microarray analyses to correct for false positives include FDR (false discovery rate) and Q-value [51] [53].
All patient samples were tested for HPV infection using multiple testing methods.
Responses different from controls were assessed for statistical significance by multiple testing methods (global error rate α = 5%, two-sided).
In addition, we illustrated the use of appropriate multiple testing methods for microarrays in monitoring differential gene expression between different biological states.
Despite their intuitive appeal for reducing the dimensionality of large-scale exposure data, the use of multiple testing methods has been frequently criticized in epidemiologic settings.
FDRmax values for each contrast were calculated using the method of Benjamini and Hochberg [ 53], the default multiple testing method in Limma.
An analysis of variance (ANOVA) was performed to determine differential expression levels between conditions and time points using the Bonferroni multiple testing method (p < 0.05).
The numbers of significant GO terms were large; therefore multiple testing method was performed in order to control the rate of errors.
To enhance the detection capability of a false discovery rate control test, we applied the likelihood ratio-based multiple testing method in neuroimage data and compared the performance with the existing methods.
Multiple comparison correction by controlling the FDR, which provides a useful alternative to traditional multiple testing method, further corroborated that preoperative high ESR levels, but not ALP, were a significant predictor for CSS PFDRR adjusted <0.01).
