Sentence examples for multiple testing such from inspiring English sources

Results of each statistical test should be reported in full with the value of the test statistic and p-value, and not simply reported as significant or non-significant; more than two significant digits on p-values are usually not needed except in situations of extreme multiple testing such as in genetic association studies where stringent corrections for multiple testing might be used.

As the tSNPs are correlated, the test statistics are not independent, and standard methods for adjusting for multiple testing, such as the Bonferroni correction, are too conservative.

Standard adjustments for multiple testing, such as Bonferroni correction, are too conservative as they assume that tests are independent, which is usually not the case when multiple tests are applied on the same data set.

False discovery rate (FDR) corrections were applied across both individuals to correct for multiple testing such that we allowed an overall FDR of 1%, 5% and 10%.

As such, Bayesian model selection offers solutions to analytical problems related to multiple testing, such as alpha inflation and loss of power after correcting the alpha level (Klugkist, van Wesel, & Bullens, 2011).

As detailed in Begun et al. 2007, if a correction for multiple testing, such as a Bonferroni correction, is used very few genes in the genome-wide comparison are significant.

The binomial test (which estimates the probability of obtaining the observed number of significant tests at the 0.05 level given the total number of tests) was used to detect significant departures from null hypothesis across multiple tests, such between pairwise population comparisons across genes.

Multiple tests, such as indirect haemagglutination (IHA), modified agglutination test (MAT), latex agglutination test (LAT), indirect fluorescent antibody test (IFAT), and enzyme-linked immunosorbent assay (ELISA), are useful to demonstrate T. gondii infection in humans and animals.

Thus, 1 typing method had the potential to replace multiple tests, such as specialized media and serotyping kits for species/variety determination, crossing with tester strains on mating agar, and flow cytometry for hybrid determination.

When analyzing such a large number of genes, the adjustment of significance levels through multiple testing procedures such as the Bonferroni method [ 3], or Benjamini and Hochberg [ 4], may be dramatic enough to make it very difficult to identify differentially expressed genes.

This has important implications for multiple testing corrections, such as the false discovery rate (FDR) and Bonferroni adjustment, which rely on this distribution (FDR), or on the total number of features compared (Bonferroni) for P value adjustment [12, 13].