6th CEN Conference

Regularization methods in clinical biostatistics: State-of-the-art and possibilities for improvement

21 May 2026, 15:45

30m

Room 1 A

invited lecture IS8: Regularization methods and their applications in the work of IQWiG and IQTIG

Speaker

Sarah Friedrich-Welz (University of Augsburg)

Description

A range of regularization approaches have been proposed in the literature to overcome overfitting, to exploit sparsity or to improve prediction. Using a broad definition of regularization, namely controlling model complexity by adding information in order to solve ill-posed problems or to prevent overfitting, we review a range of approaches within this framework including penalization, early stopping, ensembling and model averaging. We investigate the extent to which these methods are applied in clinical medicine, discuss current limitations and point out possibilities for improvement.

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