Objective: Text mining of clinical notes embedded in electronic medical
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Multinomial logistic regression models allow one to predict the risk of ...
Background: Existing guidelines for handling missing data are generally ...
Methods to correct class imbalance, i.e. imbalance between the frequency...
Calibration is a vital aspect of the performance of risk prediction mode...
Measurement error in a covariate or the outcome of regression models is
...
Clinical prediction models are developed widely across medical disciplin...
In observational research treatment effects, the average treatment effec...
When developing risk prediction models, shrinkage methods are recommende...
Joint misclassification of exposure and outcome variables can lead to
co...
In randomised trials, continuous endpoints are often measured with some
...
Data mining and machine learning techniques such as classification and
r...
Clinical prediction models have an important role in contemporary medici...