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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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statistically significant malaria

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "statistically significant malaria" is correct and usable in written English.
It can be used in contexts related to research or studies discussing the statistical relevance of malaria data or findings. Example: "The study found that the increase in malaria cases was statistically significant, indicating a need for immediate public health intervention."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

3 human-written examples

A statistically significant malaria cluster was identified.

Science

Plosone

Three statistically significant malaria clusters (Table 2) were observed in the study area and the most likely cluster was a geographically large area (8.12 km) in southeastern Rajasthali, with an relative risk of 3.39 (p = 0.001).

Science

Plosone

In 2009, two statistically significant malaria clusters were observed; in 2010, there were five such clusters (Table 2).

Human-verified similar examples from authoritative sources

Similar Expressions

57 human-written examples

The percentage difference in class switched atypical MBCs between individuals in Peru who did, and did not self-report prior malaria was not statistically significant (Peru, no prior malaria: 44.8% [95% CI: 28.58 60.98], Peru, prior malaria: 49.6% [95% CI: 41.12 58.10]; p = 0.64).

Science

Plosone

There was no statistically significant association between malaria, sex, income and birth order of the children with wasting (Table 5).

Science

Plosone

There was no statistically significant association between malaria parasite and under-weight, [OR = 0.9, (95%CI: 0.7, 1.2)].

Science

Plosone

Where IPTi did not have a statistically significant impact on malaria, generally in low transmission sites, it was not cost effective.

Science

Plosone

Had we chosen the WHO threshold of under 1× Gross Domestic Product per capita, all of the studies that had a statistically significant impact on malaria would have been considered well within the highly cost effective range [46].

Science

Plosone

Where IPTi did not have a statistically significant impact on malaria episodes (Lambaréné, Korogwe and Same using SP, western Kenya, Korogwe and Same using CD3, and Same using MQ), IPTi is likely to increase health system costs as malaria cases may not fall but there is the additional cost of the intervention.

Science

Plosone

Results show that in study sites where IPTi has a statistically significant impact on malaria, considerable direct savings are made at the household level, ranging from USD 77 in Manhica with SP to USD 780 in western Kenya with AQ3-AS3 per 1000 infants.

Science

Plosone

Although our sample size calculation assumptions expected differences equal or greater than 35%, we observed statistically significant differences in malaria incidence reduction of 16% and 20% with AS+AQ and AS+SP, respectively, compared with AL.

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Expert writing Tips

Best practice

When discussing research findings, clearly state the statistical significance level (p-value) to provide context for the claim of "statistically significant malaria".

Common error

Avoid assuming that "statistically significant malaria" implies a large or clinically relevant effect size. Statistical significance only indicates that the observed effect is unlikely due to random chance, not necessarily that it is practically important.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

83%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "statistically significant malaria" functions as an adjective phrase modifying a noun. It describes a finding, observation, or result related to malaria that has met the threshold for statistical significance. As noted by Ludwig AI, the phrase is grammatically correct and usable.

Expression frequency: Rare

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Ludwig's WRAP-UP

The phrase "statistically significant malaria" is a grammatically correct term predominantly used in scientific literature to denote findings related to malaria that have statistical significance. Ludwig AI confirms its usability, though its frequency is relatively rare. The term's purpose is to emphasize the reliability and validity of malaria-related data, and it is commonly encountered in formal, scientific contexts. When using the phrase, it's important to provide context by specifying the statistical significance level and avoid equating statistical significance with practical importance. Related phrases include "significant malaria findings" and "malaria with statistical relevance".

FAQs

How is "statistically significant malaria" determined?

Statistical significance in malaria research is typically determined by calculating a p-value. A p-value below a predetermined threshold (usually 0.05) indicates that the observed association or difference is unlikely to be due to chance and is therefore considered statistically significant.

What does it mean if a study finds no statistically significant association with malaria?

If a study finds no statistically significant association with malaria, it suggests that the observed relationship between malaria and the factor being studied could be due to random chance. It does not necessarily mean there is no relationship, but that the evidence is not strong enough to rule out chance as an explanation.

Are there alternatives to "statistically significant malaria"?

Yes, depending on the context, you can use alternatives such as "significant malaria findings", "malaria with statistical relevance", or "malaria showing statistical significance".

How does sample size affect statistical significance in malaria studies?

Larger sample sizes generally increase the power of a study to detect statistically significant results. With a small sample size, even a real effect may not reach statistical significance. Conversely, very large sample sizes can lead to statistically significant results even for small, practically unimportant effects.

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Source & Trust

83%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Most frequent sentences: