Repeatedly measured predictors: a comparison of methods for prediction modeling.

ABSTRACT:

Background

In literature, not much emphasis has been placed on methods for analyzing repeatedly measured independent variables, even less so for the use in prediction modeling specifically. However, repeated measurements could especially be interesting for the construction of prediction models. Therefore, our objective was to evaluate different methods to model a repeatedly measured independent variable and a long-term fixed outcome variable into a prediction model.

Methods

Six methods to handle a repeatedly measured predictor were applied to develop prediction models. Methods were evaluated with respect to the models' predictive quality (explained variance R ² and the area under the curve (AUC)) and their properties were discussed. The models included over

SUBMITTER: Welten M 

PROVIDER: S-EPMC6460730 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature