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Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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lack of sufficient data

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "lack of sufficient data" is correct and usable in written English.
It can be used when discussing situations where there is an inadequate amount of information available to make a decision or draw a conclusion. Example: "The study's findings were inconclusive due to a lack of sufficient data on participant responses."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Second, MMPs are often used without context specificity, likely because of the lack of sufficient data.

The other outcomes measured in these included studies could not be pooled because of lack of sufficient data.

These probabilities cannot be established directly by direct observation due to lack of sufficient data in each stand.

Lack of sufficient data and low adequacy of experimental protocols hinder comprehensive risk assessment of nanoparticles (NPs).

However, the utility of ERCs has not been fully realized mainly due to the lack of sufficient data resources.

Lack of sufficient data and their inherent epistemic and aleatory uncertainty due to human and equipment errors are, however, major limitations for these correlations.

Due to the lack of sufficient data on adult Bland-White-Garland syndrome, it is unclear which technique is the most suitable.

This locality of the data problem is commonly referred to as the lack of sufficient data in the training partitions [37, 38].

However, by their nature, they are not suitable for online application or for dealing with oscillations that occur less frequently, due to a lack of sufficient data.

Due to the lack of sufficient data and appropriate ecological information parameterizing predictive population dynamical models usually is a difficult task.

However, at a specified site of engineering interest, these empirical models are associated with large number of uncertainties due to lack of sufficient data.

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Expert writing Tips

Best practice

When using "lack of sufficient data", clearly explain what specific consequences arise from this lack, such as limitations in analysis or inconclusive results.

Common error

Avoid drawing definitive conclusions when acknowledging a "lack of sufficient data". Instead, frame statements as preliminary or speculative, indicating the need for further research.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

Authority and reliability

4.5/5

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Real-world application tested

Linguistic Context

The phrase "lack of sufficient data" functions as a noun phrase. It typically serves as the subject or object of a sentence, indicating a deficiency or absence of adequate information required for analysis, decision-making, or drawing conclusions. Ludwig AI confirms its usability in written English.

Expression frequency: Very common

Frequent in

Science

98%

Formal & Business

1%

News & Media

1%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "lack of sufficient data" is a common and grammatically sound way to express that there isn't enough information available for a particular purpose. As Ludwig AI indicates, it is correct and usable in written English. Its usage is particularly prevalent within scientific and formal contexts. Recognizing and explicitly stating the "lack of sufficient data" is crucial because it directly impacts the robustness and reliability of any analysis or conclusion. While alternatives like "insufficient data" or "inadequate data" exist, the key takeaway is to transparently address any limitations stemming from data scarcity.

FAQs

How can I rephrase "lack of sufficient data" in formal writing?

In formal contexts, consider alternatives like "paucity of data", "scarcity of data", or "deficiency of data" to maintain a professional tone.

What are some common reasons for a "lack of sufficient data"?

Common reasons include limited resources for data collection, the novelty of a research area, ethical considerations preventing data access, or technological limitations in gathering specific types of information.

How does a "lack of sufficient data" affect research outcomes?

A "lack of sufficient data" can lead to inconclusive results, limit the generalizability of findings, prevent robust statistical analysis, and necessitate reliance on assumptions or estimations, potentially introducing bias.

What steps can be taken to address a "lack of sufficient data" in a study?

Researchers can address a "lack of sufficient data" by expanding data collection efforts, employing data imputation techniques, conducting meta-analyses to combine existing datasets, or refining research questions to align with available information.

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Source & Trust

82%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: