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Dataset Information

Royston-Parmar flexible parametric survival model to predict the probability of keratoconus progression to corneal transplantation.


ABSTRACT:

Purpose

To assess a Royston-Parmar flexible parametric survival model to generate a personalised risk profile for keratoconus progression.

Methods

We re-analysed a historic database of 2723 individuals with keratoconus. A Royston-Parmar survival model was fitted to predict the likelihood of the worse eye progressing to corneal transplantation. We used a backwards selection multivariable fractional polynomial procedure to assist with selection of covariates and identify appropriate transformation(s) to retain in the final model. Time-dependent receiver operating characteristic (ROC) curves from censored survival data using the Kaplan-Meier (KM) method were computed to visually assess how well the model identified eyes likely to progress.

Results

In all, 5020 eyes from

SUBMITTER: Quartilho A 

PROVIDER: S-EPMC7093426 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature