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The Cox proportional hazards model served for multivariate survival analysis.
The T-test, ANOVA, and a linear regression model served for statistical analysis.
The Cox proportional hazard model served for univariate and multivariate survival analysis.
The Chi-square test, t-test, one-way ANOVA and logistic regression model served for statistical analyses.
The Cox regression proportional hazard model served for uni- and multivariable survival analysis, adjusted for sex, age, Dukes classification, and differentiation.
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The model serves for seismic evaluation of steel moment frame structures subjected to long duration records.
Google's MapReduce programming model serves for processing large data sets in a massively parallel manner.
These models serve for future aerothermal studies (analytical, numerical and experimental).
Moreover, if reciprocally interconnected via inhibitory subpopulations such network models serve for study of neural competition in such phenomena like binocular rivalry, perceptual bistability [20] [22] or perceptual decision making [23].
The model served as basis for a thorough work environment survey involving all HCWs.
And that model served academia in biomedicine for a long time.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com