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Justyna Jupowicz-Kozak

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adjust the significance of

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "adjust the significance of" is correct and usable in written English.
You can use it when discussing the modification or alteration of the importance or meaning of something in a specific context. Example: "In this analysis, we will adjust the significance of the data to better reflect the current trends in the market."

✓ Grammatically correct

Signal Processing: Image Communication

Health and Quality of Life Outcomes

Plosone

Arthritis Research and Therapy

Environmental Health Perspectives

International Journal of Bipolar Disorders

BMC Medical Genomics

BMC Medical Research Methodology

Genetics

BMC Evolutionary Biology

BMC Musculoskeletal Disorders

Evolutionary Applications

BMC Genomics

Bioresource Technology

Database : the journal of biological databases and curation

BMC Psychiatry

EURASIP Journal on Image and Video Processing

British Journal of Cancer

BMC Palliative Care

The American Journal of Human Genetics

Fluids and Barriers of the CNS

BMC Health Services Research

BMC Pulmonary Medicine

BMC Infectious Diseases

BMC Pediatrics

Brain

Age and Ageing

Environmental Health Perspectives

BioMed Research International

Diabetic Medicine

Human Reproduction

BMJ Open

British Medical Journal

BMC Complementary and Alternative Medicine

News & Media

Environmental Health: A Global Access Science Source

Epigenetics and Chromatin

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

Hence, previous approaches may not adaptively adjust the significance of the temporal fingerprints that depends on the difference between the temporal variances of compared videos, leading to performance degradation in video copy detection.

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

Levene tests for equality of variances enabled us to adjust the significance levels of the t-tests if the assumption of equal variance was not met for a variable.

Bonferroni's method was employed for multiple statistical comparisons in each of the 19 age groups to adjust the significance level of each comparison to a more conservative level.

Science

Plosone

We selected the Bonferroni method to adjust the significance level of subsequent pairwise contrasts.

Regarding the alternative approach of multiple testing, a wide variety of methods is now available to appropriately adjust the significance level in the presence of a large number of statistical tests.

Due to the cognitive impairments in these patients groups, we did not adjust the significance level, despite the number of tests, to reduce the risk of overlooking adverse cognitive effects (type II errors).

In order to correct for the previously observed bias, we will seek to adjust the significance based on the local distribution of scores observed for similarly annotated entities.

This is a method for adjusting the significance levels of individual tests when multiple tests are performed on the same data (the test-wise significance levels are divided by the number of tests) [ 33, 34].

For example, to deal with the inflation of the error probabilities due to testing k hypotheses in the hierarchical setup, Meinshausen's hierarchical testing procedure (Meinshausen 2008) controls the family-wise error by adjusting the significance levels of single tests in the hierarchy.

Science

Genetics

Significant deviations from the Hardy-Weinberg equilibrium after adjusting the significance (alpha) level for the number of pairwise comparisons of populations and loci (n = 100, alpha = 0.0005).

Further, we performed a multivariable logistic regression model by using a forward loading and backward elimination approach and adjusted the significance level to the numbers of variables introduced into the model following Bonferroni suggestions (0.05/n), where "n" is the number of variables entered into the multivariable model building.

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Expert writing Tips

Best practice

When conducting statistical analyses, clearly define the method used to "adjust the significance of" results, such as Bonferroni correction or False Discovery Rate (FDR), to maintain transparency and rigor.

Common error

Avoid vague statements like "we adjusted the significance." Instead, specify the exact method used (e.g., Bonferroni correction, Benjamini-Hochberg procedure) to allow for reproducibility and proper interpretation of your results.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "adjust the significance of" functions as a verb phrase used to describe the action of modifying the importance or relevance of something. As Ludwig AI confirms, the phrase is correct and usable in written English. The limited number of examples in Ludwig suggests that while grammatically sound, its usage is relatively infrequent.

Expression frequency: Rare

Frequent in

Science

80%

News & Media

10%

Formal & Business

10%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "adjust the significance of" is a grammatically correct verb phrase, although its usage is relatively rare. Primarily found in scientific and technical writing, it describes the act of modifying the perceived or calculated importance of a factor or result, often to account for biases or confounding variables. As Ludwig AI indicates, the phrase is usable in written English. When using the phrase, it's important to specify the method of adjustment. Alternative phrases include "modify the importance of" and "alter the relevance of".

FAQs

How is "adjust the significance of" used in statistical analysis?

In statistical analysis, "adjust the significance of" typically refers to correcting p-values or significance levels to account for multiple comparisons. This helps to reduce the risk of false positives (Type I errors) when performing numerous tests on the same dataset.

What methods can be used to "adjust the significance of" statistical tests?

Common methods for adjusting significance levels include Bonferroni correction, "Holm's sequential Bonferroni correction", "False Discovery Rate (FDR)" control (e.g., Benjamini-Hochberg procedure), and "Šidák correction".

Why is it important to "adjust the significance of" multiple comparisons?

Without adjusting for multiple comparisons, the probability of finding at least one statistically significant result by chance increases with the number of tests performed. Adjusting the significance level helps to maintain the overall Type I error rate at a desired level (e.g., 0.05).

What are some alternatives to "adjust the significance of" in writing?

Alternatives include phrases like "modify the importance of", "alter the relevance of", or "change the weight of", depending on the specific context.

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Source & Trust

82%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Most frequent sentences: