The phrase "avoid type" is not correct and does not convey a clear meaning in written English.
It may be intended to suggest avoiding a specific type of something, but it lacks context and clarity.
Example: "To improve your writing, it's important to avoid type that is overly complex or jargon-heavy."
Alternatives: "steer clear of" or "refrain from using".
The study power was sufficient to avoid type 2 errors.
But studies show that breast-feeding is also beneficial for the nursing mother, helping her avoid Type 2 diabetes, ovarian cancer, breast cancer and postpartum depression.
"Maximal intense exercise enables the body to handle blood glucose more efficiently after eating – and, this may help people to avoid Type 2 diabetes," says Professor Timmons.
With intention to avoid type II errors, we considered two-sided p values <0.05 to be significant.
In order to avoid type I error, a modified Bonferroni's correction was used to account for the multiple comparisons between upper and lower regions of ventilation.
Bonferroni correction was used to avoid type I error with multiple correlation testing; hence, significance level was set at P ≤ 0.01.
Several authors have argued that in the specific context of risk assessment it is often more important to avoid type II errors (Cranor 1990; Shrader-Frechette 1991).
The p-values of pairwise comparisons in the post hoc Dunn's test were adjusted using Bonferroni-type adjustment to avoid type I error inflation that leads to a false positive discovery rate.
There is a strict requirement to avoid type I errors in the process represented by arrow 1, and this process filters out information that might in this case have been practically relevant and motivated certain protective measures.
To avoid type I and II errors in career evaluation, extra care should to be taken in evaluating the entire publication portfolio of early stage researchers, not just their high-impact factor publications, to reduce the possibility that early publication success is misinterpreted as a signal of high research potential.
"The good news," adds Willett, "is that based on what we know, almost everyone can avoid Type 2 diabetes.
