model4you: An R Package for Personalised Treatment Effect Estimation Cover

model4you: An R Package for Personalised Treatment Effect Estimation

Journal of Open Research Software

Volume 7 (2019): Issue 1

By: Heidi Seibold , Achim Zeileis and Torsten Hothorn

Open Access

|May 2019

Authors

Heidi Seibold

heidi@seibold.co

Institute for Medical Information Processing, Biometry, and Epidemiology, LMU Munich

Achim Zeileis

Achim.Zeileis@R-project.org

Department of Statistics, Faculty of Economics and Statistics, University of Innsbruck

Torsten Hothorn

Torsten.Hothorn@R-project.org

Biostatistics Department, Epidemiology, Biostatistics and Prevention Institute, University of Zurich

DOI: https://doi.org/10.5334/jors.219 | Journal eISSN: 2049-9647

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Language: English

Submitted on: Feb 8, 2018

Accepted on: Apr 24, 2019

Published on: May 15, 2019

Published by: Ubiquity Press

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

personalised medicine,

subgroup analysis,

model-based recursive partitioning,

unbiased trees,

treatment effect,

© 2019 Heidi Seibold, Achim Zeileis, Torsten Hothorn, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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