Model-based recursive partitioning for subgroup analyses
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Publication:6632722
DOI10.1515/ijb-2015-0032WikidataQ57263772 ScholiaQ57263772MaRDI QIDQ6632722
Achim Zeileis, Heidi Seibold, Torsten Hothorn
Publication date: 5 November 2024
Published in: The International Journal of Biostatistics (Search for Journal in Brave)
subgroup analysispermutation testpersonalized medicinetreatment efficacyamyotrophic lateral sclerosis
Cites Work
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- A toolbox of permutation tests for structural change
- Responder identification in clinical trials with censored data
- Improving the precision of classification trees
- A comparison of five recursive partitioning methods to find person subgroups involved in meaningful treatment-subgroup interactions
- Generalized M‐fluctuation tests for parameter instability
- Statistics and Causal Inference
- Unit–Treatment Interaction and Its Practical Consequences
- MODEL SELECTION AND INFERENCE: FACTS AND FICTION
- Joint modelling of longitudinal measurements and event time data
- Problems in the Analysis of Survey Data, and a Proposal
- Functional trees
- Bayesian treed models
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