because of incomplete data

USAGE SUMMARY

The phrase "because of incomplete data" is correct and usable in written English.
You can use it when explaining a situation or decision that is affected by a lack of sufficient information or data. Example: "The results of the experiment were inconclusive because of incomplete data, leading us to conduct further tests."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Ten states were not included because of incomplete data.

The New York Times - Health

Fifteen patients were excluded because of incomplete data collection.

International Journal of Emergency Medicine

Thirty-six questionnaires had to be excluded because of incomplete data.

The Journal of Headache and Pain

Six patients were excluded from the study because of incomplete data, leaving 94 patients for analysis.

International Journal of Emergency Medicine

Nineteen patients in the RM group were excluded from the final analyses because of incomplete data.

JA Clinical Reports

Another five stocks are excluded from specific subperiods or dropped completely because of incomplete data.

Business Research

It also ignores the inevitable occurrence of errors and lack of information because of incomplete data.

Petroleum Science

288 blood cultures of 12 patients were excluded because of incomplete data.

Intensive Care Medicine Experimental

Results: A total of 213 patients were screened and 33 were excluded because of incomplete data.

Intensive Care Medicine Experimental

A total of 562 surveys were distributed, of which 23 were excluded from the analysis because of incomplete data.

International Journal of Emergency Medicine

Ninety-eight patients were excluded because of incomplete data on treatment response or genotyping failures, leaving data on 148 CH patients for this analysis.

The Journal of Headache and Pain

Expert writing Tips

Best practice

When using "because of incomplete data", clearly state what the impact of the missing data is on your analysis or conclusion. This adds clarity and avoids ambiguity.

Common error

Avoid making definitive statements when your analysis relies on data described as "because of incomplete data". Acknowledge the limitations and suggest further investigation or data collection.

Linguistic Context

The phrase "because of incomplete data" functions as an adverbial phrase of reason, explaining why a particular situation has occurred or why a certain action was taken. It introduces the cause or justification for a statement, often related to limitations in research or analysis. Ludwig AI confirms its grammatical correctness.

Expression frequency: Very common

Frequent in

Science

89%

News & Media

8%

Formal & Business

3%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "because of incomplete data" is a frequently used phrase that serves to explain limitations or uncertainties arising from a lack of complete information. As Ludwig AI confirms, it's grammatically sound and most commonly found in scientific and academic contexts. While alternatives like "due to insufficient information" or "owing to a lack of complete data" exist, this phrase is a direct and clear way to acknowledge data-related constraints. When using the phrase, be sure to clearly state the impact of the missing data to avoid ambiguity and to manage expectations appropriately.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

due to insufficient information

Replaces "data" with "information" and "incomplete" with "insufficient", slightly altering the emphasis.

owing to a lack of complete data

Uses "owing to" instead of "because of" and rephrases "incomplete" as "a lack of complete", changing the tone slightly.

as a result of partial data

Substitutes "because of" with "as a result of" and "incomplete" with "partial", indicating a consequence of the data's state.

caused by missing data

Replaces "incomplete" with "missing", directly pointing out the absence of data as the cause.

attributable to deficient data

Uses "attributable to" for "because of" and "deficient" for "incomplete", giving a more formal tone.

stemming from fragmentary data

Replaces "because of" with "stemming from" and "incomplete" with "fragmentary", indicating the data is in pieces.

on account of imperfect data

Uses "on account of" instead of "because of" and "imperfect" for "incomplete", softening the negative connotation.

arising from a paucity of data

Replaces "because of" with "arising from" and "incomplete" with "a paucity of", making the phrase more sophisticated.

due to the absence of complete records

Focuses on the absence of "complete records" rather than directly stating "incomplete data".

as a consequence of sketchy data

Replaces "incomplete" with "sketchy" providing a less formal tone for data that is not fully detailed.

FAQs

How can I use "because of incomplete data" in a sentence?

You can use "because of incomplete data" to explain why an analysis is limited or a conclusion is tentative. For example, "The study's findings are preliminary "because of incomplete data" on long-term effects."

What are some alternatives to "because of incomplete data"?

Alternatives include "due to insufficient information", "owing to a lack of complete data", or "as a result of partial data". The choice depends on the desired level of formality and nuance.

Is it better to say "due to incomplete data" or "because of incomplete data"?

Both "due to incomplete data" and "because of incomplete data" are grammatically correct and widely accepted. The choice often depends on stylistic preference, although "because of" is generally considered more informal.

What does it mean when a study mentions limitations "because of incomplete data"?

It indicates that the study's conclusions may be tentative or require further validation due to gaps or missing pieces in the dataset used for analysis. This is a common disclaimer in research to acknowledge potential biases or uncertainties.