Bootstrap-based comparison on real clinical data shows linear modeling of continuous predictors yields stable predictions at smaller sample sizes than more complex methods.
Stability Investigations of Multivariable Regression Models Derived from Low- and High-Dimensional Data
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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.