omission of data

USAGE SUMMARY

The phrase "omission of data" is correct and usable in written English.
It can be used in contexts where you are discussing the absence or exclusion of specific information or data points. Example: "The omission of data in the report led to incomplete conclusions about the study's findings."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

25 human-written examples

Omission of data can lead to policies that endanger the welfare of the nation.

The New York Times

The government said today that it would correct its deliberate omission of data made in a report on economic growth released a few weeks ago.

The New York Times

[C7.] Japan to Correct Economic Data The Japanese government said it would correct its deliberate omission of data made in a report on economic growth.

The New York Times

Editors at The New England Journal of Medicine said they would not have learned about a problem that led them to publish two letters of concern about omission of data concerning the arthritis drug Vioxx unless lawyers for the drug's manufacturer, Merck, had asked them questions in depositions.

The New York Times - Health

Then, we coded the curricula repeatedly with the coding message to avoid the omission of data.

Asian-Pacific Journal of Second and Foreign Language Education

After filling these gaps, a deliberate omission of data was executed and the omitted data was recovered.

Environmental Systems Research

Human-verified similar examples from authoritative sources

Similar Expressions

35 human-written examples

Handheld computers can be programmed to provide determinate responses, date stamped to document times of data entry, restrict times of data entry, prevent retroactive data entry, limit 'look back' to previous data, prevent omissions of data entry, and can save considerable time and labor incurred in data handling.

BMC Medical Informatics and Decision Making

A potential explanation for the greater response rates in our open-label, explorative studies is that the evaluations were based on observed data and omission of missing data, whereas patients with missing data were imputed to be nonresponders in the intention-to-treat analyses of randomized trial data.

Arthritis Research and Therapy

Hence, introduction of wrong data and omission of correct data have different probabilities.

BMC Medical Research Methodology

Sensitivity analysis was conducted by examining the forest plots of the pooled data following omission of the data from each study, one by one.

British Journal of Sports Medicine

This limitation can lead to potential omission of relevant data presented at conferences that never reach publication or data included in non-English language journals.

Bone and Joint Research

Expert writing Tips

Best practice

When discussing the impact of data omissions, clearly specify what consequences the "omission of data" may have on conclusions or actions based on the available information. For example, instead of simply stating there was an "omission of data", elaborate on how this affects the reliability or validity of a study.

Common error

Ensure clarity by specifying whose "omission of data" you are referencing and why it occurred. Vague references can lead to confusion. Providing context enhances the understanding and credibility of your analysis.

Linguistic Context

The phrase "omission of data" functions as a noun phrase, typically serving as the subject or object of a sentence. It describes the action or state of leaving out specific pieces of information. According to Ludwig, the phrase is usable and correct in written English.

Expression frequency: Common

Frequent in

Science

76%

News & Media

20%

Formal & Business

4%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "omission of data" refers to the absence or exclusion of specific information. Grammatically correct and frequently used, especially in science and news media, this phrase often highlights a critical issue in research and reporting. As noted by Ludwig, it is a correct and usable phrase. When using this phrase, ensure clarity by specifying the reasons for the omission and its potential consequences. Consider alternatives such as "data exclusion" or "data absence" for variety and nuanced meaning. Recognizing authoritative sources and avoiding ambiguity are key to effective communication regarding "omission of data".

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data exclusion

Focuses on the act of excluding data rather than the state of being omitted.

data absence

Highlights the lack of data, differing slightly in emphasis from active omission.

data gap

Emphasizes the incompleteness or missing parts of a dataset.

missing data

A straightforward term indicating data that is not present or recorded.

lack of data

Indicates a deficiency in available information.

data deficiency

Similar to 'lack of data' but suggests a more formal or significant problem.

data oversight

Suggests the omission was unintentional, an accidental failure to include data.

data disregard

Implies a deliberate ignoring or overlooking of data.

selective reporting

Highlights that some data was chosen to be included, while other data was not.

incomplete dataset

Describes the resulting collection of data as lacking certain elements.

FAQs

What does "omission of data" mean?

The phrase "omission of data" refers to the act of excluding or leaving out certain pieces of information from a report, study, or analysis. This can occur intentionally or unintentionally and can significantly impact the interpretation of results.

How does "omission of data" affect research?

The "omission of data" can introduce bias, skew results, and lead to inaccurate conclusions in research. It is crucial to address and understand any reasons for missing data to properly interpret findings.

What are some alternatives to "omission of data"?

You can use alternatives like "data exclusion", "data absence", or "missing data" depending on the context.

Is it always wrong to have an "omission of data"?

Not necessarily. Sometimes, data is omitted because it's irrelevant, unreliable, or introduces bias. However, it's crucial to be transparent about why data was omitted and to assess the potential impact on the results.