subtee: An R Package for Subgroup Treatment Effect Estimation in Clinical Trials Article Swipe
Nicolás Ballarini
,
Marius Thomas
,
G. Rosenkranz
,
Björn Bornkamp
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.18637/jss.v099.i14
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.18637/jss.v099.i14
The investigation of subgroups is an integral part of randomized clinical trials. Exploration of treatment effect heterogeneity is typically performed by covariate-adjusted analyses including treatment-by-covariate interactions. Several statistical techniques, such as model averaging and bagging, were proposed recently to address the problem of selection bias in treatment effect estimates for subgroups. In this paper, we describe the subtee R package for subgroup treatment effect estimation. The package can be used for all commonly encountered type of outcomes in clinical trials (continuous, binary, survival, count). We also provide additional functions to build the subgroup variables to be used and to plot the results using forest plots. The functions are demonstrated using data from a clinical trial investigating a treatment for prostate cancer with a survival endpoint.
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- article
- Language
- en
- Landing Page
- https://doi.org/10.18637/jss.v099.i14
- https://www.jstatsoft.org/index.php/jss/article/download/v099i14/4159
- OA Status
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- Cited By
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- References
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- Related Works
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- OpenAlex ID
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https://openalex.org/W3211021610Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.18637/jss.v099.i14Digital Object Identifier
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subtee: An R Package for Subgroup Treatment Effect Estimation in Clinical TrialsWork title
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articleOpenAlex work type
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enPrimary language
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2021Year of publication
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2021-01-01Full publication date if available
- Authors
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Nicolás Ballarini, Marius Thomas, G. Rosenkranz, Björn BornkampList of authors in order
- Landing page
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https://doi.org/10.18637/jss.v099.i14Publisher landing page
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https://www.jstatsoft.org/index.php/jss/article/download/v099i14/4159Direct link to full text PDF
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diamondOpen access status per OpenAlex
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https://www.jstatsoft.org/index.php/jss/article/download/v099i14/4159Direct OA link when available
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R package, Subgroup analysis, Estimation, Statistics, Medicine, Mathematics, Computer science, Econometrics, Internal medicine, Meta-analysis, Economics, ManagementTop concepts (fields/topics) attached by OpenAlex
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10Total citation count in OpenAlex
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2025: 3, 2024: 2, 2023: 2, 2022: 2, 2021: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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