pairwise data vs pairwise dataset

Both 'pairwise data' and 'pairwise dataset' are correct phrases, but they are used in slightly different contexts. 'Pairwise data' refers to individual data points or observations that are compared in pairs, while 'pairwise dataset' refers to a collection of data organized in pairs for comparison.

Last updated: March 27, 2024 • 729 views

pairwise data

This phrase is correct and commonly used in statistics and data analysis.

This term refers to individual data points or observations that are compared in pairs. It is often used in statistical analysis to examine relationships between variables.

Examples:

The researcher analyzed the pairwise data to identify patterns in the dataset.
Pairwise data comparison revealed significant differences between the two groups.
Each row in the table represents pairwise data for a specific combination of variables.

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All p-values are pairwise p < 0.001 p < 0.01
tho 100) All p-values are pairwise comparisons of proportions for Trudexa versus placebo p < 0.001
tho 100) All p-values are pairwise comparisons of proportions for Trudexa versus placebo p < 0.001
If 27 individuals from those 27 member states sat around table, speaking their 23 languages, some very simple mathematics will tell you that you need an army of 253 translators to anticipate all the pairwise possibilities.
p < 0.001 for Trudexa versus placebo pairwise comparisons of proportions p < 0.02 for Trudexa versus placebo pairwise comparisons of proportions a i
All p-values are pairwise comparisons of proportions for Humira versus placebo p < 0.001 p < 0.01
p < 0.001 for Trudexa versus placebo pairwise comparisons of proportions p < 0.02 for Trudexa versus placebo pairwise comparisons of proportions a i
p < 0.001 for Humira versus placebo pairwise comparisons of proportions p < 0.02 for Humira versus placebo pairwise comparisons of proportions a Of those receiving corticosteroids at baseline
r c. p-value is from the pairwise comparison of Trudexa monotherapy and methotrexate monotherapy
ris combination therapy using the Mann-Whitney U test. b. p-value is from the pairwise comparison of Trudexa monotherapy and Trudexa/ methotrexate
ed a. p-value is from the pairwise comparison of methotrexate monotherapy and Trudexa/ methotrexate combination therapy using the Mann-Whitney U test. b. p-value is from the pairwise comparison of Trudexa monotherapy and Trudexa/ methotrexate
a. p-value is from the pairwise comparison of methotrexate monotherapy and Trudexa/ methotrexate
ris combination therapy using the Mann-Whitney U test c. p-value is from the pairwise comparison of Trudexa monotherapy and methotrexate monotherapy using the Mann-Whitney U test
ris combination therapy using the Mann-Whitney U test. b. p-value is from the pairwise comparison of Trudexa monotherapy and Trudexa/ methotrexate
Remission is defined as DAS < 1.6 Pairwise comparison p-values: = p < 0.05 for comparisons of Enbrel + methotrexate vs methotrexate and = p < 0.05 for comparisons of Enbrel + methotrexate vs Enbrel
Pairwise comparison p-values: = p < 0.05 for comparisons of Enbrel vs methotrexate, = p < 0.05 for comparisons of Enbrel + methotrexate vs methotrexate and = p < 0.05 for comparisons of Enbrel + methotrexate vs Enbrel
Aircraft flight data recorders provide comprehensive operational data.
Reference data shall not contain any data from which the data subject can be directly identified.
A unique human readable fishing trip identifier shall be used to link the fishing log-book data with landing declaration data, transhipment declaration data, sales note data, take-over declaration data and transport document data.
Data shortages, data rationing, data black markets.

Alternatives:

data compared in pairs
data points for pairwise analysis
individual data points for comparison

pairwise dataset

This phrase is correct and is used to refer to a dataset organized in pairs for comparison.

This term is used to describe a collection of data that is structured in pairs for comparison or analysis. It is commonly used in research and data science.