Sentence examples for a more conservative correction from inspiring English sources

The phrase "a more conservative correction" is correct and usable in written English.
It can be used when discussing adjustments or changes that are cautious or moderate in nature, particularly in contexts like finance, statistics, or policy-making.
Example: "In light of the recent data, we recommend a more conservative correction to our initial projections."
Alternatives: "a more cautious adjustment" or "a more moderate revision".

Exact(2)

We actually used a more conservative correction for Figure 4.

We decided not to use a more conservative correction of the P-value beforehand as the tests are not entirely independent because of linkage disequilibrium (LD) between SNPs in the same gene.

Similar(58)

The two methods yielded identical conclusions and so we present only the results of the more conservative correction (i.e., Bonferroni corrected α values).

In post-hoc pairwise comparisons of data groups after ANOVA tests we used a more conservative Bonferroni correction, but reported uncorrected p-values.

Age and FSIQ were also evaluated for significance using the ROI mask, but because there were no a priori hypotheses, we used a more conservative multiple comparison correction of FDR <.05.

Bonferroni correction is a more conservative procedure than other multiple comparison procedures.

Because the individual t-test threshold was P < 0.05, this was a more conservative measure than applying a Bonferroni correction.

The 10% threshold was chosen as an additional multiple testing correction to provide a more conservative image of the network.

Using a Bonferroni correction for multiple testing, a more conservative method in which the P values are multiplied by the number of comparisons, four pairs continued to show significant correlation: Tryp_SPc-OBP, GR-OR, CYP450-GR, and CYP450-OR.

Using a more conservative approach that accounts for multiple comparisons with a Bonferroni correction would have set the significance level for the family of tests (change in network composition) to be 0.05.

A Bonferroni correction for multiple tests was applied to allow for a more conservative estimation statistical significance (p at.05/16 = .0031).0031

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