Fig. 3
From: Detecting bulbar amyotrophic lateral sclerosis (ALS) using automatic acoustic analysis
The statistical model used in the present project. Image generated using PyMC v 5.4.1. Alpha is the offset parameter, beta is the vector of J = 53 regression coefficients (one per feature), and the posterior was modelled as a Bernoulli distribution. X and y are data objects. Numerical indices reflect the number of individuals. In the figure, the number of participants is 46 (i.e., 50% of the total data in the ALS-E vs ALS-L comparison)