Figure 4.

Simple and LASSO logistic regression models for prediction of the presence of WMFT CID. (A) Simple logistic regression results. Predicted probability was calculated from the baseline CST FA asymmetry. The central gray boxes are the interquartile ranges; black horizontal lines are the means; white circles are the medians; the gray whiskers above and below the boxes are the locations of the minimum and maximum values, except outliers; the violin plot indicates the distribution of data for each time point. (B) LASSO logistic regression results. Predicted probability was calculated from 3 variables selected by LASSO logistic regression: baseline CST FA asymmetry, UEFM, and age. (C) Receiver operating characteristic (ROC) curves of simple and LASSO logistic regression models. Black line indicates the ROC curve of the simple logistic regression model; blue line indicates the ROC curve of the LASSO logistic regression model. CID indicates clinically important difference; CST FA, corticospinal tract fractional anisotropy; LASSO, least absolute shrinkage and selection operator; UEFM, Upper Extremity Fugl-Meyer Assessment; WMFT, Wolf Motor Function Test. This figure is available in color online (www.jnpt.org).