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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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incomplete data records

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "incomplete data records" is correct and usable in written English.
It can be used when referring to data entries that are missing information or are not fully filled out. Example: "The analysis was hindered by the presence of incomplete data records, which affected the overall accuracy of the results."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

9 human-written examples

However, this requirement is often compromised due to incomplete data records, especially when platform abandonment is not properly planned, designed, and/or executed.

To obtain the calibration equations, relative values recorded by each logger at 90°and ° from the horizontal level were regressed against the corresponding acceleration (9.8 m/s2 and  m/s2, resp .. Two of the sixteen retrieved data loggers were not included in our analyses due to incomplete data records.

Although 24 participants were originally recruited for the experiment there were two incomplete data records, and the analysis was carried out on the remaining 22 participants.

Science

Plosone

Moreover, many patients had incomplete data records, as shown by short lines in Figure 1.

In complete-case analysis, incomplete data records are simply removed from the dataset.

This is a generalised estimating equations approach that permits the inclusion of subjects with incomplete data records.

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Human-verified similar examples from authoritative sources

Similar Expressions

50 human-written examples

Therefore, the impact of temporally incomplete data recording on estimated heritabilities is the same as for imperfect sensitivity.

Science

Plosone

Incomplete data recording in which infected or diseased individuals are not observed, e.g. data recording for too short a period, has impacts analogous to imperfect sensitivity.

Science

Plosone

We tracked protocol deviations through the coding system so could quantify and allow for incomplete data recording by pharmacists.

It is characterised by a massive data set, duplication of data collection, incomplete data recording, and non-use of nationally-defined forms.

The main characteristics of the training population and of patients excluded from the study because of incomplete data recording are reported in Table 1.

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Expert writing Tips

Best practice

When documenting research, clearly state how you handled "incomplete data records", such as exclusion or imputation, to maintain transparency and methodological rigor.

Common error

Don't automatically assume that missing data is randomly distributed. Analyze the patterns of missingness to identify potential biases that could affect your analysis.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

81%

Authority and reliability

4.3/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "incomplete data records" functions as a noun phrase, typically serving as the subject or object of a sentence. Ludwig AI confirms its usability. Examples from Ludwig show it commonly appears in the context of research methodologies and data analysis, particularly when discussing limitations or exclusions.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "incomplete data records" is a grammatically correct term, primarily used in scientific and research contexts to denote datasets or entries that have missing information. As confirmed by Ludwig, it's important to acknowledge and address these records appropriately in any analysis. Common strategies include complete-case analysis or data imputation, with careful consideration given to potential biases. Alternative phrases like "partial data sets" or "missing data entries" can be used depending on the context. Always ensure transparency when dealing with "incomplete data records" in research to maintain the rigor and credibility of your findings.

FAQs

What does "incomplete data records" mean?

The term "incomplete data records" refers to entries in a dataset where some information is missing or not fully recorded. This can happen for various reasons, such as errors in data entry, loss of data, or participants not providing all requested information.

What are some strategies for dealing with "incomplete data records" in research?

Common strategies include complete-case analysis (removing records with missing data), imputation (replacing missing values with estimated values), and using statistical methods that can handle missing data, such as multiple imputation or mixed models.

Is it acceptable to exclude "incomplete data records" from my analysis?

Excluding "incomplete data records" (complete-case analysis) is acceptable but may introduce bias if the missing data is not missing completely at random (MCAR). Consider the potential impact on your results and whether alternative methods are more appropriate.

What are some alternatives to "incomplete data records"?

You can use alternatives like "partial data sets", "deficient data records", or "missing data entries" depending on the specific context.

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Source & Trust

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Authority and reliability

4.3/5

Expert rating

Real-world application tested

Most frequent sentences: