2022
DOI: 10.1016/j.prro.2022.01.011
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Development and Internal Validation of a Recursive Partitioning Analysis–Based Model Predictive of Pain Flare Incidence After Spine Stereotactic Body Radiation Therapy

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Cited by 10 publications
(7 citation statements)
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“…RPA was utilized in an effort to develop a CPTTB risk score predictive of major CPTTB. This approach incorporated decision-tree analysis, and this methodology has been previously utilized and published ( 23 25 ). RPA was conducted in Python (v3.8.0) using open-source packages ( 26 – 28 ).…”
Section: Methodsmentioning
confidence: 99%
“…RPA was utilized in an effort to develop a CPTTB risk score predictive of major CPTTB. This approach incorporated decision-tree analysis, and this methodology has been previously utilized and published ( 23 25 ). RPA was conducted in Python (v3.8.0) using open-source packages ( 26 – 28 ).…”
Section: Methodsmentioning
confidence: 99%
“…Recursive partitioning analysis (RPA) was performed with decision‐tree analysis in accordance with prior literature 26,27,36 . Scripts were developed in Python (v3.8.0) through the use of multiple open‐source packages 37–39 .…”
Section: Methodsmentioning
confidence: 99%
“…Recursive partitioning analysis (RPA) was performed with decisiontree analysis in accordance with prior literature. 26,27,36 Scripts were developed in Python (v3.8.0) through the use of multiple open-source packages. [37][38][39] Censoring of the data for death was included,<zaq;9> and the log-rank test was used as the criterion for node splitting.…”
Section: Recursive Partitioning Analysismentioning
confidence: 99%
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