strict correction

USAGE SUMMARY

The phrase "strict correction" is correct and usable in written English.
It can be used when referring to a rigorous or precise form of correction, often in academic or professional contexts. Example: "The teacher emphasized the importance of strict correction in the students' essays to ensure clarity and accuracy."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

20 human-written examples

The reported p-values have not been corrected for multiple testing, but a strict correction is not critical given the biological plausibility implicating these genes in NTDs.

Environmental Health Perspectives

By means of a less strict correction (FDR), they exhibited significant (p < 0.01 FDR corrected) bilateral activation during approximate calculation in the middle frontal gyrus (MFG), intraparietal sulcus (IPS) and anterior cingulate gyrus (ACG).

Behavioral and Brain Functions

This directed specificity is not reflected in current, overly strict correction methodology.

Plosone

Particularly some of the cis effects constituted large effect sizes that are likely to be biologically relevant and survived strict correction for multiple testing.

Plosone

Therefore, the chance of a false positive result is significantly less when the KEGG database is used and less strict correction for multiple hypothesis testing is required.

Plosone

Strict correction, such as Bonferroni correction that assumes independent multiple hypothesis testing, would be unnecessarily strict because we often see strong correlation in signals across time, frequencies and neighboring electrodes.

Plosone

Human-verified similar examples from authoritative sources

Similar Expressions

39 human-written examples

Applying strict corrections for multiple testing would make investigations like the present impossible to perform, because a sample big enough to withstand such a correction procedure would probably never be possible to obtain.

BMC Psychiatry

A stricter correction level (p < 0.005, FDR corrected) was used for the FC statistical maps because we obtained too many clusters if we used the same multiple comparison correction methods described above.

The Journal of Headache and Pain

The p-values of all tests were corrected for multiple testing using the program Q-value [ 38] with a FDR of 10%, acknowledging that the multiple tests conducted are highly intercorrelated and a stricter correction would therefore be overly conservative [ 39, 40].

BMC Genomics

To control type I errors, we applied the strict FWE correction for all VBM analyses, while we did not perform any correction on the genetic modality.

Behavioral and Brain Functions

Using a strict Bonferroni correction suggested only two correlations (laboratory mind-wandering to distraction via surrounding conversations/behavior and fluid intelligence to self-distraction) would remain significant.

Cognitive Research: Principles and Implications

Expert writing Tips

Best practice

When discussing statistical analysis, specify the type of "strict correction" applied, such as Bonferroni or FDR, to provide clarity and context.

Common error

Avoid automatically applying a "strict correction" without considering the underlying assumptions of independence among tests; less stringent methods may be appropriate when tests are correlated.

Linguistic Context

The phrase "strict correction" functions as a noun phrase where the adjective "strict" modifies the noun "correction". It is primarily used in scientific and academic contexts to describe a rigorous method applied to statistical data, as shown by Ludwig's examples.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "strict correction" is a term used to describe stringent methods of adjusting statistical results to account for multiple comparisons. As Ludwig indicates, it is commonly found in scientific and academic literature. While grammatically correct, its application depends on the context and assumptions of the statistical tests being performed. It's important to consider whether a "strict correction", such as Bonferroni, is appropriate or if a less stringent method, like FDR, might be more suitable. Remember to specify the type of correction method used to ensure clarity. According to Ludwig AI, the phrase is correct and usable in written English.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

rigorous rectification

Emphasizes the thoroughness and accuracy of the correction process.

stringent adjustment

Highlights the exacting nature of the modification.

precise amendment

Focuses on the accuracy and exactness of the alteration.

thorough revision

Suggests a comprehensive and detailed review and correction.

careful modification

Implies attentiveness and precision in making changes.

exacting alteration

Stresses the high standards and demands of the change.

accurate emendation

Highlights the focus on removing errors and improving accuracy.

close refinement

Suggests a detailed and meticulous improvement.

severe amendment

Focuses on the substantial and impactful nature of the change.

formal revision

Highlights the official and structured nature of the correction process.

FAQs

What does "strict correction" mean in statistical analysis?

In statistical analysis, "strict correction" refers to methods used to adjust p-values to account for multiple testing, reducing the chance of false positives. Common methods include Bonferroni correction and other stringent procedures.

When is a "strict correction" necessary?

A "strict correction" is necessary when performing multiple statistical tests on the same dataset to control the family-wise error rate (FWER) and avoid incorrectly concluding that a result is significant.

What are some alternatives to using a "strict correction"?

Alternatives to a "strict correction" include less conservative methods like the Benjamini-Hochberg procedure for controlling the false discovery rate (FDR). You can also consider the biological plausibility of the results as a justification, as seen in some contexts.

What is the difference between a "strict correction" and a less strict one?

A "strict correction", like Bonferroni, is more conservative and reduces the chance of false positives but may increase the risk of false negatives. Less strict corrections, such as FDR, allow for a higher rate of false positives but reduce the risk of missing true effects.