Sentence examples for the adjustment method from inspiring English sources
Hypergeometric test was used to evaluate the categorical enrichment and as multiple categories were tested simultaneously, p values were adjusted according to the adjustment method of multiple test proposed by Benjamini and Hochberg [ 29].
To adjust for multiple comparisons, we used the adjustment method of Holm, as explained by Aickin and Gensler [ 42].
The adjustment method presented in this study showed a promising ability to adjust a foreign mean utility, making the value transferable to the UK setting.
The use of methods for adjusting prevalence may demonstrate a more reasonable evaluation of tests, provided the adjustment method is described.
Simulation results show that the adjustment method has good dynamic characteristics and satisfies engineering requirements.
Finally, the parameters adjustment algorithm is given by: Delta phi = N_{phi } = - left( {J_{s}^{T} J_{s} + qI} right)^{ - 1} J_{s}^{T} e (6 when q is large, the adjustment method shown above becomes the gradient descent method with step 1/q and when q is small it actually becomes Newton's method.
Again, the reduced number of eQTLs could result from (1) the adjustment diminishing the statistical power, therefore, missing true positives, or (2) the adjustment methods removing the false findings caused by PS.
Figures 6 and 7 also suggest that none of the adjustment methods perform particularly well under large values of heterogeneity combined with extreme PB.
The adjustment methods used are a False Discovery Rate (FDR) adjustment [ 18], and a Holm adjustment [ 19], which works under the same assumptions as a Bonferroni correction, but is statistically more powerful [ 20].
It is desirable for the adjustment methods to work well near the null where small changes may have impact on the direction of the effect and hence any conclusions.
In order to evaluate the adjustment methods, their performance is assessed through measures of model accuracy (bias), precision (variance) and coverage (type I error rate) [ 39] in the simulation study.
