Traditional CPH models rely on a linear combination of covariates weighted with coefficients as the log-risk function, which imposes a strong and restrictive assumption, limiting generalization.

They use equations to solve problems from quadratic functions and create linear equations from descriptions, tables, or graphs. They represent relationships using equations in more than two variables ...