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The residual strength and stiffness degradation curves of RAC were obtained by regression analysis and the replacement percentage effect on degradation laws was discussed.
Aims: To compare the prediction of mortality in individual extremely low birth weight (ELBW) neonates by regression analysis and by artificial neural networks.
Based on these results, design of experiments technique was applied followed by regression analysis and response surface methodology to optimize formulation variables.
PET and microspheres values were compared by regression analysis and Bland Altman plot.
We calculated a PS for patients with or without diuretics by regression analysis and pairing 1 1 by quintiles grouping.
The relationship between split tensile strength and compressive strength was established by regression analysis and compared to the other empirical relationships.
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Comparison between these measurements was performed by linear regression analysis and the technique described by Bland and Altman[ 12].
The association between kidney length and other variables was tested by regression analysis for continuous variables and by ANOVA and unpaired Student's t tests for dichotomous variables.
The correlations between clinical features and ACVD were first analyzed by simple regression analysis and then by logistic regression analysis.
The correlations between clinical features and adiponectin parameters were first analyzed by simple regression analysis and then by stepwise regression analysis.
A nomogram was generated by logistic regression analysis, and performance characterised by receiver operating characteristic curves.
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by regression permutation and
by gait analysis and
by restriction analysis and
by stability analysis and
by theory analysis and
by immunoblot analysis and
by linkage analysis and
by image analysis and
by cluster analysis and
by sensitivity analysis and
by factor analysis and
by survival analysis and
by subgroup analysis and
by expression analysis and
by sequence analysis and
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