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Discover LudwigThe phrase "avoiding type" is not correct and does not convey a clear meaning in written English.
It may be intended to describe a category or method of avoidance, but without additional context, it is unclear when to use it.
Example: "In our discussion about personality traits, we should focus on avoiding type behaviors that hinder collaboration."
Alternatives: "avoidance category" or "type of avoidance".
Exact(11)
Science traditionally aims at avoiding type I errors.
Whereas science gives higher priority to avoiding type I errors than to avoiding type II errors, the balance can shift when errors have practical consequences.
The paper integrates Jones' model [Acad. Manage. Rev. 16 (1991) 366] of moral intensity with Mitroff's five strategies for avoiding Type III errors [I.I.
The challenge of avoiding type II errors in interpreting negative findings has major public health implications, especially when the relationship of an exposure to birth defects is the concern.
Whenever we investigated the pairwise differences between two conditions, even when those two conditions were a subset of more than three, we used standard uncorrected t-tests to have the most sensitivity in avoiding Type II statistical errors.
Therefore, MMDiff appears to be well calibrated, with good power to capture profile changes and avoiding type I errors when dealing with count changes.
Similar(49)
"What we know now is that avoiding type-2 diabetes by maintaining a healthy balanced diet and being physically active is really important".
When focusing on a certain candidate locus in a hypothesis-driven approach it is easier to identify rare alleles and the results obtained do not need statistical correction for multiple testing, possibly avoiding type-II error [ 56].
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.
The study power was sufficient to avoid type 2 errors.
With intention to avoid type II errors, we considered two-sided p values <0.05 to be significant.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com