normalizing for

USAGE SUMMARY

The phrase "normalizing for" is correct and usable in written English.
It is typically used in statistical or analytical contexts to indicate the adjustment of data to account for certain variables or factors. Example: "When analyzing the survey results, we are normalizing for age and income to ensure accurate comparisons."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Relative paleointensity was estimated by normalizing for the magnetic grain content using anhysteretic remanent magnetization (ARM).

Progress in Earth and Planetary Science

We introduce relative ET (ETR), which enables comparison of ET rates between image dates by normalizing for variability caused by weather and crop stage.

Agricultural and Forest Meteorology

Use of T/B ratios minimizes these effects by normalizing for blood concentrations which then reveals the relationships between HER2 density and tumor accumulation.

EJNMMI Research

An empirical Bayes before after procedure was employed to properly account for regression to the mean while normalizing for differences in traffic volume and other factors between the before and after periods.

Accident Analysis & Prevention

The infectivity defect was apparent after normalizing for particle amounts.

Plosone

PG4 density was calculated after normalizing for GC content.

Plosone

1 2 µg of total RNA was used after normalizing for all samples.

Plosone

Exon arrays provide a platform for identifying such genome-wide changes normalizing for individual exon and gene expression between any two states in question.

Plosone

The analysis was conducted on the percent of sequences showing similarity to each bacteria phylum, thus normalizing for variance in sequencing depth.

Plosone

While such a multiple correction approach is effective in normalizing for dependencies across genes, it can lead to a loss of sensitivity [17].

Plosone

For insulin content, whole pancreas homogenate was extracted in acid/ethanol (0.18M HCl/70% ethanol) overnight at 4°C and insulin levels were determined by ELISA after normalizing for total protein.

Plosone

Expert writing Tips

Best practice

When reporting statistical findings, clearly state what variables you are "normalizing for" to ensure transparency and reproducibility. This helps readers understand the adjustments made to the data.

Common error

Avoid using "normalizing for" without a clear understanding of the underlying statistical methods. Incorrect application can lead to skewed or misleading results. Consult with a statistician if needed.

Linguistic Context

The phrase "normalizing for" functions as a prepositional phrase used to specify the methodological approach of adjusting data. This phrase is commonly employed to ensure fair comparisons by accounting for confounding variables, as evidenced by Ludwig's numerous examples in scientific contexts.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

In summary, the phrase "normalizing for" is a common and grammatically correct prepositional phrase primarily used within the scientific domain. It indicates the process of adjusting data to account for the influence of specific variables, thereby enabling fairer comparisons. Ludwig AI confirms its correct usage. When writing, clarity and understanding of the normalization method are crucial to prevent misinterpretations. Alternatives such as ""adjusting for"" and ""accounting for"" can be used, but the specific context should guide the choice. As a final remark, be aware of the statistical impact that this procedure has on research output.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

adjusting for

Focuses on the act of making adjustments to data, often in a statistical context.

accounting for

Emphasizes the process of considering and including specific factors in an analysis.

standardizing for

Highlights the act of bringing data to a common standard or scale.

controlling for

Implies managing or holding constant certain variables to isolate the effect of others.

correcting for

Suggests the act of removing errors or biases in data.

factoring in

Focuses on including specific elements in a calculation or consideration.

taking into account

Emphasizes the consideration of particular details or circumstances.

considering

A more general term that indicates the inclusion of something in one's analysis.

compensating for

Highlights the act of counterbalancing or offsetting the effect of certain factors.

balancing out

Implies creating equilibrium by adjusting for disparities.

FAQs

How do I use "normalizing for" in a sentence?

Use "normalizing for" when you are adjusting data to account for differences in a specific variable. For example, "We are "adjusting for" age when comparing the health outcomes of different groups".

What does "normalizing for" mean in research?

In research, "normalizing for" means that researchers are "accounting for" the effect of a confounding variable, so they can accurately assess the relationship between the independent and dependent variables.

Is there a difference between "normalizing for" and "adjusting for"?

"Normalizing for" and ""adjusting for"" are often used interchangeably. However, "normalizing" often implies bringing data to a standard scale, while "adjusting" is a broader term for making corrections.

When should I use "normalizing for" instead of "correcting for"?

Use "normalizing for" when you're accounting for a variable's influence to make fair comparisons. Use "correcting for" when addressing errors or biases in the data itself.