Exact(3)
Adjusted analyses of CTSAQ functional status and secondary outcomes at 1 year will be conducted using linear regression methods.
Based upon a linear relationship between amplification rate and amplicon quantity, this allows target quantification to be conducted using linear regression analysis.
Analysis of secondary outcomes will also be conducted using linear regression for continuous outcomes and logistic regression for dichotomous outcomes, again controlling for baseline symptom severity and any potential confounders.
Similar(57)
In this paper, most experiments are conducted using Linear Regression (LR) as the machine learning algorithm.
Simulations were conducted using linear, quadratic, full cubic and special cubic models.
The analysis of the relationship between DNA methylation at each CpG site between suicide subjects and controls was conducted using linear regression, as were analyses of the relationships between DNA methylation, expression, PMI, brain pH, and age.
When normality was violated, data were logarithmic-transformed. Regression analyses for logarithmic-transformed protein-coding (or total) gene number (dependent variables) versus log genome size (independent variable) were conducted using linear, logarithmic, and power regression models in SPSS 15.
Bivariate and multivariable statistical analyses were conducted using linear regression.
Multivariate analysis was conducted using linear regression modeling with SAS 9.3.
These models were conducted using linear regression for complex survey designs (PROC SURVEYREG in SAS v9.1).
Statistical modelling was conducted using linear regression analyses with SPSS 19 for Mac.
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