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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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post hoc analytic

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "post hoc analytic" is correct and usable in written English.
It can be used in contexts related to analysis that occurs after an event or decision, often in research or data evaluation. Example: "The post hoc analytic approach allowed us to identify trends that emerged after the initial data collection."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

1 human-written examples

The findings were a result of a non a priori analysis, and hence could not rule out selection bias and multiplicity aspects relating to a post hoc analytic exercise.

Science

BMC Cancer

Human-verified similar examples from authoritative sources

Similar Expressions

58 human-written examples

Bonferroni's test was used for the post hoc analysis.

As the post hoc analysis, Bonferroni's test was conducted.

Post hoc analysis was performed using lsmeans R package [33].

Post hoc analysis.

Post hoc analysis on CDH13.

No post hoc analysis was performed.

This post hoc analysis has limitations.

Post hoc analysis - clinicaltrials.gov trial NCT00106288.

The analytic model that adjusted for fluoride in drinking water therefore represents our best effort at post hoc correction of this imbalance between community groups.

Post hoc ergo propter hoc.

News & Media

The New York Times
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Expert writing Tips

Best practice

When using "post hoc analytic", ensure it's clear the analysis was conducted after the initial study design or data collection to avoid confusion with planned analyses.

Common error

Avoid using "post hoc analytic" when referring to analyses planned before data collection. Using it incorrectly can undermine the validity of your research by suggesting potential biases.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

85%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "post hoc analytic" functions as an adjective phrase modifying a noun, typically referring to a type of analysis. This implies that the analysis was conducted after the initial planning or observation phase, as Ludwig confirms. The example sentence provides a direct instance of this usage.

Expression frequency: Rare

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Ludwig's WRAP-UP

In summary, "post hoc analytic" is a term used to describe an analysis performed after an event or study has been completed. It is grammatically correct, though infrequent, primarily appearing in scientific contexts. As Ludwig highlights, this type of analysis differs from pre-planned or a priori analyses. When using "post hoc analytic", it's crucial to clearly indicate the analysis was conducted after the initial study design to avoid misunderstandings about the research methodology and potential biases. Consider alternatives like "retrospective analysis" for broader appeal.

FAQs

What does "post hoc analytic" mean?

The term "post hoc analytic" refers to an analysis conducted after the completion of a study or experiment, often to explore unexpected findings or relationships in the data.

When is it appropriate to use a "post hoc analytic" approach?

A "post hoc analytic" approach is appropriate when exploring unexpected findings or relationships in data after the initial planned analyses have been conducted. However, it's important to acknowledge the potential for bias and avoid overinterpreting the results.

What are some alternatives to "post hoc analytic"?

Alternatives to "post hoc analytic" include "retrospective analysis", "ex post facto analysis", or "after-the-fact analysis". The best choice depends on the specific context and nuance you want to convey.

What are the limitations of "post hoc" analyses?

"Post hoc" analyses are prone to increased risk of false positives because they are not pre-planned and can be influenced by researcher bias. Results from "post hoc" analyses should be interpreted with caution and confirmed with further research.

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Source & Trust

85%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

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