difference of proportion

USAGE SUMMARY

The phrase "difference of proportion" is correct and usable in written English.
It can be used in contexts discussing comparative ratios or relationships between quantities. Example: "The difference of proportion between the two datasets highlights significant disparities in their outcomes."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

12 human-written examples

The mean values of the two independent estimates were used if the estimated staining intensity scores did not differ more than by one step, or if the difference of proportion of positive cells was <30%.

British Journal of Cancer

The results of the Bootstrap calculating mortality rate in two groups are as follows: Table 10 ᅟ   N Proportion of dead SD Difference proportion Sig 95%% Bootstrap percentile confidence interval for difference of proportion   Temporary 1571 0.0159 9.96e–0.0146115 0.04 (0.0006, 0.0146) 0.02 Permanent 1571 0.0274 1.70.0274

International Journal of Emergency Medicine

Figure  2 illustrates the difference of proportion of score between SF-36 and WHOQOL-BREF.

Health and Quality of Life Outcomes

Data was analyzed using the Epi Info software, and Chi-square and Fischer's exact test were applied to determine the difference of proportion between qualitative variables.

BioMed Research International

No significant difference of proportion of Annexin A1 expression was found according to baseline characteristics with exception of pathologic differentiation grade and alcohol use (Table  1).

BMC Cancer

For statistical analysis we used the chi-square test for evaluated difference of proportion, and considered statistical significance as P < 0.05.

Critical Care

Human-verified similar examples from authoritative sources

Similar Expressions

48 human-written examples

In that situation, SYN did not work as it normally does, so there was no difference of proportions correct between items with different distractors.

Language Testing in Asia

Several methods exist to calculate sample size for the difference of proportions (risk difference).

Journal of Clinical Epidemiology

Power analysis determined that a total sample size of 398 participants was required to detect a difference of proportions of headache of 10%, with a power of 80 and a 95% confidence level.

The Journal of Headache and Pain

Since UA recall is more appropriate for unbalanced datasets, statistical significance over the baseline is determined using a one-tailed test (difference of proportions) over the UA recall values.

EURASIP Journal on Audio, Speech, and Music Processing

The adjusted Wald interval for difference of proportions with matched pairs [20] was used to establish equivalence based on the 95% confidence interval (CI) between the difference in response rates being contained in the −15% and 15% interval.

Plosone

Expert writing Tips

Best practice

When reporting a "difference of proportion", always specify the groups being compared and the context in which the proportions are measured to provide clarity and avoid ambiguity.

Common error

Avoid misinterpreting the "difference of proportion" as a relative risk. The former is an absolute difference, while the latter is a ratio, leading to different interpretations of the effect size.

Linguistic Context

The phrase "difference of proportion" functions as a noun phrase that quantifies the absolute difference between two or more proportions. As evidenced by Ludwig AI, it commonly appears in scientific and academic contexts.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "difference of proportion" is a grammatically sound and usable term, predominantly found in scientific and academic contexts. It quantifies the absolute difference between two or more proportions, highlighting disparities and enabling assessment of magnitude. While its usage is relatively uncommon, as confirmed by Ludwig AI, understanding its function and appropriate contexts is crucial for precise scientific writing. When using this phrase, specifying the groups being compared and the context of measurement is essential to avoid ambiguity. Common errors involve confusing it with relative risk, emphasizing the importance of clarity in interpretation.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

proportion difference

This alternative inverts the word order of the original query.

difference in proportions

This alternative adds the preposition "in" for grammatical clarity and slight emphasis.

disparity in proportion

This alternative replaces "difference" with "disparity", highlighting inequality.

proportional difference

This alternative uses "proportional" as an adjective to describe the type of difference.

variation in proportion

This alternative uses "variation" to emphasize the change or fluctuation in proportions.

gap in proportion

This alternative uses "gap" to highlight the space or interval between proportions.

relative proportion difference

This alternative emphasizes that the difference is considered in relation to the original proportions.

percentage point difference

This alternative specifies the unit of measurement as percentage points.

divergence in proportion

This alternative suggests a deviation or departure from a common proportion.

shift in proportion

This alternative uses "shift" to show that proportion has changed.

FAQs

How do I calculate the "difference of proportion" between two groups?

To calculate the "difference of proportion", subtract the proportion of one group from the proportion of the other group. Ensure that you clearly define which group is being subtracted from which for accurate interpretation.

What statistical tests can be used to analyze the "difference of proportion"?

Common statistical tests for analyzing the "difference of proportion" include the Chi-square test, Fisher's exact test, and Z-test. The choice of test depends on the sample size and the nature of the data.

How is the "difference of proportion" different from the odds ratio?

The "difference of proportion" is an absolute difference in probabilities, whereas the odds ratio is a measure of relative effect. They quantify different aspects of the relationship between two groups; the odds ratio compares the odds of an event, not the direct probabilities.

What are some alternative phrases for "difference of proportion" that I can use in my writing?

You can use alternatives like "proportion difference", "disparity in proportion", or "variation in proportion" depending on the specific nuance you want to convey.