datasets are missing

USAGE SUMMARY

The phrase "datasets are missing" is correct and usable in written English.
It can be used when indicating that certain datasets are not available or have not been provided in a specific context, such as research or data analysis. Example: "Before we can proceed with the analysis, we need to address the issue that some datasets are missing."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

The approach we have taken has a number of advantages both when datasets are missing an income measure entirely as well as for those where it is imprecisely measured.

BMC Medical Research Methodology

Human-verified similar examples from authoritative sources

Similar Expressions

59 human-written examples

We assumed that any missing HRQoL values in these datasets were Missing Completely at Random (MCAR).

Health and Quality of Life Outcomes

Out of 7,124 datasets in the German Health Survey- 1998, 228 (4.0%) MCS and PCS datasets were missing; therefore analysis was based on 6,836 consecutive patients.

Health and Quality of Life Outcomes

Due to technical or other reasons unknown to the research group at the regional healthcare authorities during the collection of data from the above-mentioned sources, minor percentages of datasets were missing.

BMC Health Services Research

P-values for genes that were not represented on the Affymetrix HG U95Av2 microarray used for the validation dataset are missing.

BMC Cancer

An investigation by the Wall Street Journal found that the FBI dataset was missing more than 550 police killings between 2007 and 2012 from 105 of the country's largest police departments.

Vice

In total, 6.8 % of the values of all variables in the dataset were missing.

BMC Health Services Research

And finally, one main limitation with this, and any longitudinal dataset, is missing data and sample attrition.

BMC Public Health

If a SNP marker in PASNP dataset was missing in HapMap2, the nearest neighboring position was chosen to represent the position.

BMC Genomics

14 Calculating this proportion of missing cases may be straightforward in studies with only a single or two measurement points, but in our longitudinal design, at least one variable in the dataset was missing in most patients, while in others (namely the nonrespondents), a large proportion of the variables of interest for the planned analysis are missing.

Clinical Epidemiology

"Balanced"—in which the ratio M/F was 1 1 "M+"—in which the M/F ratio was 3 1 "F+"—in which the M/F ratio was 1 3 "NonRand"—in which the overall ratio was 1 1 and 50% of the dataset was missing, but the probability of being missing (pmix) was three times higher for males than for females.

AAPS Journal

Expert writing Tips

Best practice

When reporting that "datasets are missing", clearly specify which datasets are absent and the potential impact on your analysis or conclusions.

Common error

Avoid simply stating that "datasets are missing" without providing context. Instead, quantify the extent of missing data and explain why those specific datasets are crucial.

Linguistic Context

The phrase "datasets are missing" functions as a statement of fact, indicating the absence or unavailability of specific data collections. As Ludwig AI confirms, this phrase is grammatically sound and appropriate for use in written English.

Expression frequency: Uncommon

Frequent in

Science

75%

News & Media

15%

Formal & Business

10%

Less common in

Wiki

0%

Encyclopedias

0%

Social Media

0%

Ludwig's WRAP-UP

The phrase "datasets are missing" is a grammatically correct and usable expression in English, indicating the absence of data collections. Ludwig AI analysis confirms its validity. While not extremely frequent, it commonly appears in scientific and news contexts. When using this phrase, clarity is key; specify which datasets are missing and why they are important. Alternatives like "data sets are absent" or "data sets are unavailable" can provide slight variations in tone. Overall, using "datasets are missing" effectively requires precision and context to convey the impact of the missing data.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data sets are absent

Replaces "missing" with "absent", offering a slightly more formal tone.

data sets are unavailable

Substitutes "missing" with "unavailable", highlighting that the data is not accessible.

data sets are incomplete

Focuses on the lack of completeness rather than outright absence.

data sets are lacking

Uses "lacking" instead of "missing", implying a deficiency.

data sets have not been provided

Emphasizes the act of not supplying the data sets.

data sets are not present

States the absence of the data sets in a direct manner.

data sets are not included

Highlights that the data sets were excluded or omitted.

data sets are omitted

Implies a deliberate act of leaving out the data sets.

data sets are deficient

Indicates a shortage or inadequacy in the data sets.

data sets are wanting

Suggests that the data sets are needed but not available.

FAQs

How can I indicate that some data is not available using "datasets are missing"?

Use "datasets are missing" when you want to point out the absence of entire data collections. For instance, "The control group datasets are missing, which affects the validity of the study."

What are some alternatives to saying "datasets are missing"?

You can use alternatives like "data sets are absent", "data sets are unavailable", or "data sets are incomplete", depending on the specific nuance you want to convey.

Is it grammatically correct to say "datasets are missing"?

Yes, "datasets are missing" is grammatically correct. It uses the plural noun "datasets" with the plural form of the verb "to be" (are) followed by the adjective "missing".

When should I use "data is missing" instead of "datasets are missing"?

"Data is missing" is more appropriate when referring to individual data points within a dataset. Use "datasets are missing" when referring to the absence of entire collections of data.