Patient phenotypes associated with outcome following surgery for mild degenerative cervical myelopathy: A principal component regression analysis

Predictors of outcome after surgery for degenerative cervical myelopathy (DCM) have been determined previously through hypothesis-driven multivariate statistical models that rely on a priori knowledge of potential confounders, exclude potentially important variables due to restrictions in model building, cannot include highly collinear variables in the same model, and ignore intrinsic correlations among variables.

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