An Update on Statistical Boosting in Biomedicine

Mayr A, Hofner B, Waldmann E, Hepp T, Meyer S, Gefeller O (2017)

Publication Type: Journal article

Publication year: 2017

Journal

Computational and Mathematical Methods in Medicine Taylor & Francis: STM, Behavioural Science and Public Health Titles / Taylor & Francis / Hindawi Publishing Corporation

Book Volume: 2017

DOI: 10.1155/2017/6083072

Abstract

Statistical boosting algorithms have triggered a lot of research during the last decade. They combine a powerful machine learning approach with classical statistical modelling, offering various practical advantages like automated variable selection and implicit regularization of effect estimates. They are extremely flexible, as the underlying base-learners (regression functions defining the type of effect for the explanatory variables) can be combined with any kind of loss function (target function to be optimized, defining the type of regression setting). In this review article, we highlight the most recent methodological developments on statistical boosting regarding variable selection, functional regression, and advanced time-to-event modelling. Additionally, we provide a short overview on relevant applications of statistical boosting in biomedicine.

Authors with CRIS profile

Andreas Mayr Lehrstuhl für Biometrie und Epidemiologie Benjamin Hofner
Elisabeth Bergherr Lehrstuhl für Biometrie und Epidemiologie Tobias Hepp Lehrstuhl für Biometrie und Epidemiologie Sebastian Meyer Lehrstuhl für Biometrie und Epidemiologie Olaf Gefeller Lehrstuhl für Biometrie und Epidemiologie

Additional Organisation(s)

Interdisziplinäres Zentrum für Klinische Forschung

Involved external institutions

Paul Ehrlich Institute / Paul-Ehrlich-Institut – Bundesinstitut für Impfstoffe und biomedizinische Arzneimittel (PEI) DE Germany (DE)

How to cite

APA:

Mayr, A., Hofner, B., Waldmann, E., Hepp, T., Meyer, S., & Gefeller, O. (2017). An Update on Statistical Boosting in Biomedicine. Computational and Mathematical Methods in Medicine, 2017. https://doi.org/10.1155/2017/6083072

MLA:

Mayr, Andreas, et al. "An Update on Statistical Boosting in Biomedicine." Computational and Mathematical Methods in Medicine 2017 (2017).

BibTeX: Download