Bootstrap-based comparison on real clinical data shows linear modeling of continuous predictors yields stable predictions at smaller sample sizes than more complex methods.
Does poor methodological quality of prediction modeling studies translate to poor model performance? An illustration in traumatic brain injury
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Influence of continuous predictor modelling methods on prediction stability in clinical prediction model development: an empirical comparison using real clinical data
Bootstrap-based comparison on real clinical data shows linear modeling of continuous predictors yields stable predictions at smaller sample sizes than more complex methods.