受强制性开放获取政策约束的文章 - Heidi Seibold了解详情
可在其他位置公开访问的文章：16 篇
Model-Based Recursive Partitioning for Subgroup Analyses
H Seibold, A Zeileis, T Hothorn
The international journal of biostatistics 12 (1), 45-63, 2016
强制性开放获取政策： Swiss National Science Foundation
Individual treatment effect prediction for amyotrophic lateral sclerosis patients
H Seibold, A Zeileis, T Hothorn
Statistical methods in medical research 27 (10), 3104-3125, 2018
强制性开放获取政策： Swiss National Science Foundation
An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action
H Anzt, F Bach, S Druskat, F Löffler, A Loewe, BY Renard, G Seemann, ...
arXiv preprint arXiv:2005.01469, 2020
强制性开放获取政策： German Research Foundation
A replication crisis in methodological research?
AL Boulesteix, S Hoffmann, A Charlton, H Seibold
Significance 17 (5), 18-21, 2020
强制性开放获取政策： German Research Foundation, Federal Ministry of Education and Research, Germany
Generalised linear model trees with global additive effects
H Seibold, T Hothorn, A Zeileis
Advances in Data Analysis and Classification 13 (3), 703-725, 2019
强制性开放获取政策： Swiss National Science Foundation
On the choice and influence of the number of boosting steps for high-dimensional linear Cox-models
H Seibold, C Bernau, AL Boulesteix, R De Bin
Computational Statistics, 1-21, 2018
强制性开放获取政策： German Research Foundation
Subgroup identification in dose‐finding trials via model‐based recursive partitioning
M Thomas, B Bornkamp, H Seibold
Statistics in medicine 37 (10), 1608-1624, 2018
强制性开放获取政策： European Commission
Estimating patient-specific treatment advantages in the ‘Treatment for Adolescents with Depression Study’
S Foster, M Mohler-Kuo, L Tay, T Hothorn, H Seibold
Journal of psychiatric research 112, 61-70, 2019
强制性开放获取政策： Swiss National Science Foundation, US National Institutes of Health
A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses
H Seibold, S Czerny, S Decke, R Dieterle, T Eder, S Fohr, N Hahn, ...
Plos one 16 (6), e0251194, 2021
强制性开放获取政策： Federal Ministry of Education and Research, Germany
Prognostic models for predicting clinical disease progression, worsening and activity in people with multiple sclerosis
J Havla, J Burns, MA Gosteli-Peter, A Alabsawi, Z Alayash, A Götschi, ...
Cochrane Database of Systematic Reviews, 2023
强制性开放获取政策： Federal Ministry of Education and Research, Germany
model4you: An R Package for Personalised Treatment Effect Estimation
H Seibold, A Zeileis, T Hothorn
Journal of Open Research Software 7 (1), 2019
强制性开放获取政策： Swiss National Science Foundation
The interplay of viral loads, clinical presentation, and serological responses in SARS-CoV-2–Results from a prospective cohort of outpatient COVID-19 cases
K Puchinger, N Castelletti, R Rubio-Acero, C Geldmacher, TM Eser, ...
Virology 569, 37-43, 2022
强制性开放获取政策： German Research Foundation, Helmholtz Association, Federal Ministry of …
Survival forests under test: Impact of the proportional hazards assumption on prognostic and predictive forests for amyotrophic lateral sclerosis survival
N Korepanova, H Seibold, V Steffen, T Hothorn
Statistical Methods in Medical Research 29 (5), 1403-1419, 2020
强制性开放获取政策： Swiss National Science Foundation
What makes forest-based heterogeneous treatment effect estimators work?
S Dandl, C Haslinger, T Hothorn, H Seibold, E Sverdrup, S Wager, ...
The Annals of Applied Statistics 18 (1), 506-528, 2024
强制性开放获取政策： Swiss National Science Foundation, European Commission
Statisticians, roll up your sleeves! There's a crisis to be solved
H Seibold, A Charlton, AL Boulesteix, S Hoffmann
Significance 18 (4), 42-44, 2021
强制性开放获取政策： German Research Foundation, Federal Ministry of Education and Research, Germany
A replication crisis in methodological research?
S Hoffmann, A Charlton, H Seibold
SIGNIFICANCE 18, 2020
强制性开放获取政策： German Research Foundation, Federal Ministry of Education and Research, Germany
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