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Binary logistic regression was applied [18].
Binary logistic regression was applied to calculate the odds.
For postoperative complications, a mixed-effect Poisson regression was applied to assess treatment effects [16].
Nuisance regression was applied on white matter and cerebrospinal fluid, separately.
For all data, the Bland-Altman analysis and linear regression was applied.
Conditional logistic regression was applied using a nested case-control study design (N = 32,262).
Best Subset Regression was applied to identify parsimonious models linking applied components to MFT outputs.
Multiple linear regression was applied to confirm significant effect of each variable on release characteristics.
Forward logistic regression was applied to identify independent MDR risk factors for prediction tool development.
Then, the non-linear regression was applied on the data by using MINITAB software.
Analysis of variance was applied to continuous data and logistic regression was applied to categorical data.
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