The phrase "adjustment of type" is correct and usable in written English.
It can be used in contexts where you are referring to modifying or changing a specific type or category of something, such as in typography or classification.
Example: "The adjustment of type in the document improved its readability significantly."
Alternatives: "modification of type" or "alteration of type".
While newer methods of risk assessment using genomic and other markers should allow adjustment of type and timing of breast cancer screening, until then, mammography remains a reliable and proven means to detect cancers at their earliest, most curable stage. .
No formal adjustment of type 1 error risk has been made.
All P-values presented are exploratory in nature; thus, no adjustment of Type I error for multiple testing is conducted.
Adjustment of type I error due to multiple testing is not considered necessary due to the a priori ordering of the hypotheses.
The hierarchical approach of primary end points avoids multiplicity issues with adjustment of type I error because the second co-primary end point is tested only if the first is statistically significant at 0.05.
Each additional trait included also adds more pairwise comparisons, which are not independent of one another, requiring adjustment of Type I error levels further making it difficult to obtain statistical significance.
This relationship was not statistically significant (ts = 2.44; p = 0.015) in the context of a Bonferroni adjustment of type-I error rate (αa = 0.002; see methods).
Hierarchical clustering analyses were performed for the differentially expressed genes for all the methods of adjustment of Type-I error and cut-off of P-values, using a multivariate unsupervised method, taking into account the relationship between gene expressions.
Adjustment of type-specific prevalence in all ICC cases by weighting each region according to their cancer burden, however, did not materially effect the results, highlighting the general similarity of HPV-type distribution across regions (data not shown).
While the difference in peak width is not readily visible at this scale, the effect of background adjustment on Type I probes is clearly visible.
Further, similar to GGRF, the proposed FB-GGRF method is asymptotically well-behaved, and does not require empirical adjustment of the type I error rates.
