post hoc analysis

USAGE SUMMARY

"post hoc analysis" is correct and usable in written English.
It is a type of statistical analysis which tests for a causal relationship between two events, where the first event has already occurred. For example, "The post hoc analysis suggested that there was a causal relationship between the increased sales and the video advertisement campaign."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

36 human-written examples

Post hoc analysis revealed significant differences between groups.

Nature

When relevant, a Newman-Keuls post hoc analysis was performed.

Nature

So post hoc analysis will often mislead us.

The New Yorker

Comparisons between groups were performed using one-way ANOVA with the LSD post hoc analysis.

Nature

When necessary, post hoc analysis was performed using Bonferroni's correction.

The Journal of Headache and Pain

*Significant difference with pairwise post hoc analysis (p < 0.01).

Annals of Intensive Care

Human-verified similar examples from authoritative sources

Similar Expressions

24 human-written examples

"Post-hoc analysis is fruitless".

Independent

But this is the worst kind of post-hoc analysis.

The New York Times

Plasma tHcy levels were investigated as a post-hoc analysis.

Atherosclerosis

This article provides a post-hoc analysis of our experiences.

Health Policy and Technology

Post-hoc analysis was applied to test individual differences between subgroups.

Nature

Expert writing Tips

Best practice

When reporting results from a "post hoc analysis", always specify which test was used (e.g., Tukey's HSD, Bonferroni correction) to ensure transparency and reproducibility.

Common error

Avoid performing a "post hoc analysis" without first conducting an overall test (like ANOVA). A post hoc test is only appropriate when the overall test indicates a significant difference between groups; otherwise, you risk inflating the Type I error rate.

Linguistic Context

The phrase "post hoc analysis" functions as a noun phrase, typically used to describe a statistical procedure. As Ludwig AI suggests, it refers to an analysis conducted after the initial experiment or observation, often to explore unexpected findings. The examples from Ludwig show the phrase used in scientific and academic contexts.

Expression frequency: Common

Frequent in

Science

96%

News & Media

2%

Formal & Business

2%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "post hoc analysis" is a statistical term referring to tests performed after an initial analysis to determine which specific groups differ significantly. It's commonly used in scientific and academic contexts, as confirmed by Ludwig AI. To use the phrase effectively, remember to specify the particular post hoc test used and ensure it is appropriate for your data. While alternatives exist, such as "retrospective analysis", "post hoc analysis" is the most precise and widely recognized term in statistical discourse.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

after-the-fact analysis

This alternative emphasizes the timing of the analysis, focusing on it occurring after an event.

retrospective analysis

This alternative highlights the backward-looking nature of the analysis.

subsequent analysis

This alternative focuses on the sequence of events, indicating the analysis comes after something else.

follow-up analysis

This option implies that the analysis is done as a continuation of previous work.

secondary analysis

This term suggests the analysis is not the primary focus but rather a supporting investigation.

exploratory analysis

This emphasizes the investigative nature of the analysis, seeking to uncover insights.

confirmatory analysis

This suggests the analysis is aimed at confirming existing hypotheses.

causal inference

This term shifts the focus to the goal of inferring causal relationships.

sensitivity analysis

This highlights an examination of the robustness of results to changes in assumptions or data.

statistical decomposition

This alternative emphasizes the breaking down of data to understand its components.

FAQs

What is a "post hoc analysis"?

A "post hoc analysis" is a statistical test performed after an initial analysis (like ANOVA) shows a significant difference between groups. It's used to determine which specific groups differ from each other.

When should I use a "post hoc analysis"?

Use a "post hoc analysis" after you've conducted an ANOVA or similar test and found a statistically significant difference between the groups you are comparing. It helps you pinpoint exactly where those differences lie.

What are some alternatives to "post hoc analysis"?

Depending on the context, you could use terms like "after-the-fact analysis", "retrospective analysis", or "follow-up analysis".

Which post hoc test should I use?

The choice of post hoc test depends on the specific characteristics of your data and the comparisons you want to make. Common tests include Tukey's HSD, Bonferroni correction, Scheffé's method, and Dunnett's test. Consult a statistician to determine the most appropriate test for your situation.