In fact, LMA is almost independent of variable scaling, while for methods such as the gradient descent, minimizing a cost function dependent on a set of variables with different natures and scales requires appropriate parameter scaling to guarantee a proper convergence [30].
This measures the association of two canonical variables, one representing a set of dependent variables (LBP status variables), the other a set of independent variables (LDD traits, etc) and evaluates simultaneously the contribution of each variable to the observed correlation.
To figure out possible predictors of patients' time in psychosis a linear stepwise regression analysis was performed using time in psychosis as dependent variable and the same set of variables as for the Cox regression described above as predictors.
The logit model considers the relationship between a binary dependent variable and a set of independent variables, whether binary or continuous.
Binary logistic regression analysis was used to define the associations between a dichotomous dependent variable and a set of independent variables.
We applied multiple linear regression [ 8], a method of estimating the conditional expected value of one variable Y (the dependent variable) in terms of a set of other variables X (predictor variables).
PLS is a statistical method that creates a linear regression model to predict a set of dependent variables (i.e., model outputs) from a set of independent variables (i.e., model inputs) [ 22, 25].
For each patient the probability of remaining in the follow-up at 18 months will be obtained through a logistic regression model (multilevel if appropriate) with the variable 'remaining in the follow-up' (yes/no) as dependent variable and a set of predictor variables measured at baseline.
Non-linear regression is a method for building a non-linear model of the relationship between the dependent variable and a set of independent variables.
This is a technique for assessing group differences across multiple metric-dependent variables simultaneously, based on a set of categorical variables as independent variables.
