excluded missing data

USAGE SUMMARY

"excluded missing data" is correct and usable in written English.
You can use it when discussing data analysis or reporting on a study or survey that has excluded certain data points. For example: "The team excluded missing data from their analysis and the results of the survey were reported accurately."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

8 human-written examples

We excluded missing data from the analysis with no substitution or imputation.

British Medical Journal

Three studies excluded missing data from the analysis of virologic outcomes.

BMC Public Health

We excluded missing data because they were less than 5%% for all variables.

BMC Pregnancy and Childbirth

In using TDTPHASE, we assumed no linkage and excluded missing data.

Human Molecular Genetics

Where appropriate, we excluded missing data from analyses and documented this; p-values ≤ 0.05 were considered significant.

BMC Infectious Diseases

Three questionnaires were excluded (missing data greater than 30%%), yielding a total of 272 employees that could be analyzed.

BMC Health Services Research

Human-verified similar examples from authoritative sources

Similar Expressions

52 human-written examples

Percentages exclude missing data.

British Medical Journal

*Denominator excludes missing data.

BMC Medical Research Methodology

*Calculated excluding missing data from returned forms.

British Medical Journal

*Total number in the variable excluding missing data.

BMC Public Health

Descriptive statistics (frequencies, percentages, means and standard deviation) were calculated, excluding missing data from the analysis.

BMC Pregnancy and Childbirth

Expert writing Tips

Best practice

Clearly document the amount of missing data excluded to ensure transparency and allow readers to assess potential bias.

Common error

Avoid simply stating results without clarifying how missing data was handled. Not mentioning the exclusion of missing data can lead to misinterpretations of your findings.

Linguistic Context

The phrase "excluded missing data" functions as a descriptive term, often used as part of a methodological explanation. Ludwig AI indicates it's used to describe how data inconsistencies were handled in a study or analysis. It identifies the action taken with incomplete data sets.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

In summary, "excluded missing data" is a phrase used to describe the removal of incomplete data points from a dataset, primarily in scientific research. Ludwig AI confirms its grammatical correctness. Given its formal and scientific context, it emphasizes methodological transparency. When using this phrase, it's important to document the amount of excluded data to allow for bias assessment. Alternatives like "omitted missing data" or "removed missing data" can be used for variety, but they maintain the same core meaning.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

omitted missing data

This alternative uses "omitted" which has a similar meaning to "excluded", indicating a removal or leaving out of the data.

removed missing data

Using "removed" emphasizes the act of taking the data away from the dataset.

discarded missing data

"Discarded" suggests that the missing data was considered unusable and therefore thrown away.

left out missing data

This option uses a phrasal verb to express the exclusion, sounding slightly more informal.

filtered out missing data

"Filtered out" implies a process of selecting only the valid data and rejecting the missing data.

did not include missing data

This phrase directly states the non-inclusion of the missing data, which is a more explicit form of exclusion.

ignored missing data

"Ignored" implies that the missing data was not considered in the analysis.

missing data not considered

This passive construction focuses on the fact that missing data was not taken into account.

analysis without missing data

This alternative focuses on the state of the analysis rather than the action of excluding the data.

missing data not used

This simply states that missing data wasn't part of the analysis, avoiding the term "exclude".

FAQs

How do I properly use "excluded missing data" in a sentence?

You can use "excluded missing data" to describe the process of removing incomplete or missing data points from a dataset before analysis. For example: "The researchers "excluded missing data" to ensure the accuracy of their results."

What are some alternatives to "excluded missing data"?

Alternatives include phrases like "omitted missing data", "removed missing data", or "discarded missing data". The choice depends on the specific nuance you want to convey.

Why is it important to mention that missing data was "excluded" in a research paper?

Stating that you "excluded missing data" ensures transparency and allows readers to assess whether the exclusion might have introduced any bias into your results. It's a key part of research methodology.

What's the difference between "excluding missing data" and using imputation methods?

Excluding missing data means removing incomplete cases from the analysis. Imputation, on the other hand, involves estimating and filling in the missing values. Both are valid approaches, but the choice depends on the nature and amount of missing data, and each has different implications for the analysis.