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At the same time chromatographic peak was positioned by linearregressionmethod.
2
We used descriptive and trend analysis using the linearregressionmethod.
3
While the positioning chromatographic peaks by linearregressionmethod was more accurate than relative retention time in literature.
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The 6-year rate of change (slope) in FEV1 was calculated using a within-person linearregressionmethod.
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An extensive simulation study shows that our Bayesian partially linearregressionmethod facilitates accurate estimation of the true regression line and the regression parameters.
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Statistical modelling involved logistic regression and linearregressionanalysis for censored data.
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Multivariable linearregressionanalysis was performed to account for potential confounding factors.
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Statistical analysis was done using linearregressionanalysis and Pearson correlation coefficient.
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The results were evaluated by Wilcoxon rank sum test and linearregressionanalysis.
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Study groups were compared by univariate linearregressionanalysis and the chi-square test.
Usage of linear regression in English
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Mixed linearregression was used to examine group differences in quality scores.
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A mixed-effects model and linearregression approach were used for the GWAS.
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To compare weight loss, linearregression and linear mixed models were used.
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Associations were studied by linearregression models adjusted for established risk factors.
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Factors significantly associated with a higher score were identified using linearregression.
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Statistical modelling involved logistic regression and linearregression analysis for censored data.
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Age- and sex-adjusted linearregression models were developed to evaluate these associations.
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Effect sizes were determined by using multiple linearregression and mixed models.
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I said I was going to show you how linearregression works.
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Multivariable linearregression analysis was performed to account for potential confounding factors.
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A separate linearregression model was built to derive comorbidity-adjusted 90-d costs.
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Pearson correlation coefficients and simple and multiple linearregression models were used.
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Multiple linearregression models were carried out, adjusted for age and sex.
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Statistical analyses included correlation and linearregression models adjusted for muscle mass.
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Statistical analysis was done using linearregression analysis and Pearson correlation coefficient.
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At the same time chromatographic peak was positioned by linearregression method.