complete case

USAGE SUMMARY

The phrase "complete case" is correct and usable in written English.
It can be used in contexts such as legal discussions, research, or data analysis when referring to a situation where all necessary information or data points are present and accounted for. Example: "In order to proceed with the analysis, we need to ensure that we have a complete case for each participant in the study."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

58 human-written examples

A complete case analysis was also conducted [46].

Health Economics Review

Complete case analysis.

Clinical and Experimental Allergy

CC – Complete case.

BMC Medical Research Methodology

Complete case analyses were performed.

BMC Endocrine Disorders

**available for complete case analysis.

Health and Quality of Life Outcomes

Complete case analysis was used.

BMC Geriatrics

We conducted complete case analyses.

BMJ Open

We performed complete case analyses.

Cardiovascular Diabetology

A complete case series analysis was used.

BMC Pediatrics

Human-verified similar examples from authoritative sources

Similar Expressions

2 human-written examples

Complete case-capturing could not be performed.

Emerging Infectious Diseases

In addition, complete-case analysis was performed.

Computers in Biology and Medicine

Expert writing Tips

Best practice

When using "complete case" analysis, clearly state this in your methodology section to ensure transparency and reproducibility of your results.

Common error

Don't assume that results from a "complete case" analysis are generalizable to the entire population if the excluded cases differ systematically from the included ones. Always consider potential bias.

Linguistic Context

The phrase "complete case" functions primarily as a noun phrase or adjective phrase used in statistical and research contexts. As Ludwig AI indicates, it describes a situation where all data points for a given observation are present, allowing for its inclusion in an analysis. The examples show it modifying 'analysis' or 'data'.

Expression frequency: Very common

Frequent in

Science

97%

News & Media

1%

Formal & Business

1%

Less common in

Wiki

1%

Reference

0%

Social Media

0%

Ludwig's WRAP-UP

The term "complete case" is widely used in research, particularly in the sciences, to denote instances where all necessary data is present. As Ludwig AI confirms, the phrase is grammatically sound. It's frequently employed to describe a specific type of data analysis where only records with full information are considered. This method, while straightforward, can introduce bias if missing data isn't random. Alternatives include phrases like "full data set" or "analysis of complete records". When reporting results based on "complete case" analysis, transparency is key; clearly state this in your methodology to ensure the study's replicability. However, the best practice is to recognize that the results are valid only for that subset of the original dataset and cannot be generalized to the whole original population.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

full data set

Emphasizes the entirety of the data being available.

entire data set

Similar to "full data set", highlighting the comprehensive nature of the data.

analysis with no missing data

Directly states the absence of missing data in the analysis.

analysis of complete records

Highlights that the analysis is restricted to records with full information.

record with no missing values

Focuses on the integrity of individual records within the dataset.

fully observed data

Emphasizes that all data points within the analyzed set have been observed.

available case analysis

Focuses on using only the cases where all data points are present.

non-missing data analysis

Highlights the absence of missing values in the analyzed data.

observed case analysis

Refers to analysis based solely on observed, non-imputed data.

univariate analysis

Implies the data contains only one variable.

FAQs

What does "complete case" analysis mean in statistics?

In statistics, "complete case" analysis refers to a method of handling missing data where only observations with no missing values for the variables of interest are included in the analysis. This approach can lead to biased results if the missing data are not missing completely at random.

When should I use a "complete case" analysis?

A "complete case" analysis is appropriate when the amount of missing data is small and the data are believed to be missing completely at random. However, it's often preferable to use more sophisticated methods like multiple imputation or maximum likelihood estimation, especially when data are not missing completely at random.

What are the disadvantages of "complete case" analysis?

The main disadvantages of "complete case" analysis are reduced statistical power due to smaller sample size and potential bias if the missing data are related to the outcome or predictors. This can lead to inaccurate or misleading results.

Are there alternatives to "complete case" analysis for handling missing data?

Yes, there are several alternatives, including "multiple imputation", "maximum likelihood" estimation, and "inverse probability weighting". These methods generally provide more accurate and efficient estimates than "complete case" analysis, especially when data are not missing completely at random.