Sentence examples for a straightforward regression from inspiring English sources

The phrase "a straightforward regression" is correct and usable in written English.
It can be used in contexts related to statistics, data analysis, or modeling where a simple or direct regression analysis is being discussed.
Example: "In our study, we applied a straightforward regression to analyze the relationship between the variables."
Alternatives: "a simple regression" or "an uncomplicated regression".

Exact(1)

The method is not a straightforward regression, as it has to take into account the fact that the level-specific RR estimates for a block are correlated, as they all depend on the same comparison group.

Similar(59)

When binary outcomes are involved somewhere along a pathway, the situation is less straightforward; regression coefficients have different interpretations in linear and logistic regression, and merely adding and multiplying regression coefficients is not meaningful.

A straightforward circular regression method is proposed in order to extract rapidly the relevant parameters of the electrochemical behavior of solid polymer electrolytes through the analysis of their related impedance spectra.

The common alleles analysis implemented in SCARVA is a straightforward linear regression.

Additionally we compare the results against a more straightforward sparse regression method ("Regression"; see Methods for details).

We implemented two straightforward regressions which that are widely used in cheminformatics, both in ligand and structure-based methods: multiple linear regression and partial least squares regression.

Support vector regression is a straightforward variant of support vector machine (SVM) classification [16].

The multivariate local polynomial kernel regression is a straightforward generalization of the univariate case.

For example, a straightforward choice would be the regression of η on ξ.

A straightforward alternative to fitting separate regressions for each time window is to fit a single simultaneously adjusted regression model that includes all time windows.

Logistic regression modelling is a straightforward and fast method known to produce accurate predictions when a binary variable is a linear function of several explanatory variables [50].

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