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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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random omission

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "random omission" is correct and usable in written English.
It can be used to describe an instance where something is unintentionally left out or excluded without a specific reason. Example: "The report contained a random omission of key data that affected the overall analysis."

✓ Grammatically correct

Science

News & Media

Social Networks

Human-verified examples from authoritative sources

Exact Expressions

5 human-written examples

In particular, assortativity by degree does not necessarily improve network robustness to random omission of nodes as predicted by current theory.

Six of the speakers were requested to read the text a second time due to random omission and/or unclear pronunciation of the target syllables10.

Six of the speakers (two males and four females) were requested to read the text a second time due to random omission and/or unclear pronunciation of the target syllables.15 All analyses were done on only the last rendition of the reading.

The separation between quartiles of social vulnerability remains clear for men despite random omission of 20% of the index variables in each iteration.

Science

Plosone

Cross validation based on a random omission of data points does not rigorously address predictions outside the tested parameter space.

Human-verified similar examples from authoritative sources

Similar Expressions

54 human-written examples

These were random omissions.

This means that an omission of random intercepts in random slope models should be clearly stated.

However, missing data within patient report forms was also common; among others, burn size, burn depth, TEWS and triage were also not missing at random, as the omissions were more common in patients that remained on scene.

Simple programmes were written to introduce random errors and omissions into new versions of the definitive 10-year Butajira dataset.

Simple programmes were written using Microsoft Visual FoxPro software to simulate versions of the 10-year Butajira dataset containing random errors and omissions as outlined in Table 1.

By assessing the implications of random errors and omissions on population descriptions and mortality estimates using surveillance data collected over a 10-year period in BRHP, this study has addressed important issues regarding the effects of measurement error on DSS study results.

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Expert writing Tips

Best practice

When discussing statistical analysis, use "random omission" to specify that data points were excluded without a discernible pattern or bias. This ensures clarity and precision in your methodology.

Common error

Avoid using "random omission" when there's a clear reason or pattern behind the missing data. For example, if data is missing because of a technical error affecting a specific subgroup, it's not a "random omission" but a systematic one.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

84%

Authority and reliability

4.3/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "random omission" functions as a noun phrase that typically describes a process or event where something is unintentionally left out or excluded in a way that lacks a predictable pattern. As supported by Ludwig, the phrase is correct and usable in English writing.

Expression frequency: Uncommon

Frequent in

Science

60%

News & Media

20%

Social Networks

20%

Less common in

Formal & Business

0%

Academia

0%

Encyclopedias

0%

Ludwig's WRAP-UP

In summary, the phrase "random omission" is a grammatically correct and usable term that denotes an unintentional exclusion without a specific pattern, as confirmed by Ludwig AI. It is most frequently encountered in scientific and statistical contexts to describe data handling or potential errors. While its register is generally neutral to formal, it is essential to differentiate it from systematic omissions, where underlying reasons exist for the missing information. Understanding this distinction is crucial for accurate data analysis and interpretation.

FAQs

How can "random omission" affect data analysis?

If data is missing completely at random, it might not introduce bias, but it can reduce the statistical power of your analysis. Techniques like multiple imputation can help address this issue.

What's the difference between "random omission" and non-random omission?

In a "random omission", data is missing without any systematic reason. In contrast, non-random omission (also called missing not at random) means the missingness is related to the unobserved data itself, which can introduce bias.

When is it appropriate to assume a "random omission"?

You can assume a "random omission" when there's no apparent relationship between the missing data and any other observed or unobserved variables. However, this assumption should be tested whenever possible.

What are some alternatives to the phrase "random omission"?

You can use alternatives such as "unintentional exclusion", "accidental exclusion", or "arbitrary exclusion" depending on the specific context.

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Source & Trust

84%

Authority and reliability

4.3/5

Expert rating

Real-world application tested

Most frequent sentences: