multiple comparisons over

USAGE SUMMARY

The phrase "multiple comparisons over" is not correct and does not convey a clear meaning in written English.
It may be intended to refer to statistical analyses involving multiple comparisons, but the phrase lacks clarity and context. Example: "The study conducted multiple comparisons over various treatment groups to determine the effectiveness of the new drug."

⚠ May contain grammatical issues

Science

Human-verified examples from authoritative sources

Exact Expressions

13 human-written examples

We then applied a correction for multiple comparisons (over the 250 time points).

Current Biology

Statistical thresholds were applied at P <0.05 after family-wise error (FWE) correction for multiple comparisons over the whole volume of the GM/WM mask.

Human Brain Mapping

When applying the GLM to the independent time courses, a multi-step-up test was used to correct for multiple comparisons over components (Nichols and Hayasaka 2003).

Cerebral Cortex

Plasma levels changed significantly from baseline (⩾1.5-fold change (P<0.05), adjusted for multiple comparisons) over the first 12 weeks of treatment for 28 of the 97 cytokines measured (Supplementary Table S2).

Blood Cancer Journal

Statistical images were corrected for multiple comparisons over the whole brain using a magnitude threshold derived from Monte Carlo simulation that takes into account the number of contiguous activated voxels (Forman et al. 1995).

Brain Structure and Function

Statistical parametric maps were generated showing significant differences between each pathological group and the healthy control group; these t-statistic maps were thresholded at significance level 0.01 (corrected for multiple comparisons over the whole brain volume using false discovery rate).

Brain

Human-verified similar examples from authoritative sources

Similar Expressions

47 human-written examples

MDR and MDR-PDT handle several of these important issues, such as dimensionality, multiple comparisons, and over-fitting using cross-validation [22], [23]; and regression effectively handles some other issues, such as specificity of hypothesis tests, interpretability, and effect size estimation.

Plosone

Due to the exploratory nature of the study, the minimal number of outcomes, and investigation of a specific outcome, significance levels were not adjusted for multiple comparisons to avoid over-correction; findings must be considered in light of this.

American Journal of Human Biology

The findings from these retrospective analyses should be interpreted in the context of false-positive rate due to uncontrolled multiple comparisons done repeatedly over time and should be viewed as hypothesis-generating.

British Journal of Haematology

Furthermore, the three loci identified as potentially remaining significant in the meta-analysis were considered to be false positive because the associations with breast cancer risk showed P values in the range of 0.02 to 0.002, which increased to over 0.05 considering multiple comparisons.

Breast Cancer Research

The results would be much clearer to the readers, and avoid many of the concerns over multiple comparisons, if the authors used generalized linear models that better reflect the experimental design (see below for specific suggestion).

eLife

Expert writing Tips

Best practice

When conducting multiple comparisons in statistical analysis, clearly specify the method used to adjust p-values to avoid inflating Type I error rates. Common methods include Bonferroni correction, False Discovery Rate (FDR) control, and family-wise error rate (FWER) control.

Common error

A frequent error is failing to adjust for multiple comparisons when conducting numerous statistical tests. This significantly increases the risk of false positives. Always consider the potential for inflated error rates and apply appropriate correction methods.

Linguistic Context

The phrase "multiple comparisons over" appears primarily in scientific contexts to describe statistical analyses. However, according to Ludwig AI, this phrase is considered grammatically incorrect. The intended function is to describe comparisons made across different variables or groups.

Expression frequency: Common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

In summary, the phrase "multiple comparisons over" is often found within scientific literature to detail complex statistical evaluations. However, Ludwig AI considers this phrase grammatically incorrect, suggesting that alternatives such as "multiple comparisons across" or "multiple comparisons among" are more appropriate. When writing, prioritize clarity and precision by using conventional grammatical structures, especially in formal scientific contexts. Adjusting p-values for multiple comparisons is essential to prevent misleading results.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

multiple comparisons across

Replaces "over" with "across" to indicate comparisons between different groups or categories.

multiple comparisons among

Uses "among" instead of "over" to suggest comparisons within a single group or set.

multiple comparisons throughout

Substitutes "over" with "throughout" to imply comparisons across a range or duration.

repeated comparisons across

Emphasizes the repetition of comparisons using "repeated" and replaces "over" with "across".

numerous comparisons between

Uses "numerous" to highlight the quantity of comparisons and replaces "over" with "between".

various comparisons among

Indicates diversity in comparisons with "various" and substitutes "over" with "among".

multiple pairwise comparisons

Specifies the type of comparisons being made as "pairwise" and removes "over".

statistical comparisons across

Adds "statistical" to emphasize the nature of the comparisons and replaces "over" with "across".

several comparisons throughout

Highlights the quantity using "several" and replaces "over" with "throughout".

extensive comparisons between

Uses "extensive" to show the depth of comparisons, replacing "over" with "between".

FAQs

What does "multiple comparisons" mean in statistical terms?

In statistics, "multiple comparisons" refers to the increased chance of finding a statistically significant result just by chance when performing many separate hypothesis tests. This necessitates adjustments to maintain the overall significance level.

Why is it important to correct for multiple comparisons?

Correcting for multiple comparisons prevents an inflated rate of false positives. Without such corrections, researchers might incorrectly conclude that there is a significant effect when the results are simply due to random variation.

Which methods can be used to correct for multiple comparisons?

Several methods exist to correct for multiple comparisons, including Bonferroni correction, "Holm-Bonferroni", "False Discovery Rate (FDR)" control, and "Family-Wise Error Rate (FWER)" control. The choice depends on the desired balance between sensitivity and specificity.

Is "multiple comparisons across" a better phrase than "multiple comparisons over"?

Yes, "multiple comparisons across" or "multiple comparisons among" are more grammatically correct and convey a clearer meaning when describing statistical analyses involving several comparisons. "Multiple comparisons over" is less conventional.