The Utility of Modified Recursive Partitioning Analysis Class 2 in Predicting Survival among Surgical Candidates with Intracranial Metastases

Rachel Grossman; Zvi Ram

doi:10.1016/j.wneu.2013.10.021

The Utility of Modified Recursive Partitioning Analysis Class 2 in Predicting Survival among Surgical Candidates with Intracranial Metastases

Rachel Grossman, Zvi Ram^*

^*Corresponding author for this work

Neurology & Neurosurgery

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	e111-e113
Journal	World Neurosurgery
Volume	82
Issue number	1-2
DOIs	https://doi.org/10.1016/j.wneu.2013.10.021
State	Published - 2014

Keywords

Breast
Gastrointestinal
Lung
Melanoma
Metastatic brain tumor
Prognosis
RPA
Recurrence
Renal
Surgery
Survival

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.wneu.2013.10.021

Cite this

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keywords = "Breast, Gastrointestinal, Lung, Melanoma, Metastatic brain tumor, Prognosis, RPA, Recurrence, Renal, Surgery, Survival",

author = "Rachel Grossman and Zvi Ram",

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AU - Ram, Zvi

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KW - Breast

KW - Gastrointestinal

KW - Lung

KW - Melanoma

KW - Metastatic brain tumor

KW - Prognosis

KW - RPA

KW - Recurrence

KW - Renal

KW - Surgery

KW - Survival

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AN - SCOPUS:84908240131

SN - 1878-8750

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ER -

The Utility of Modified Recursive Partitioning Analysis Class 2 in Predicting Survival among Surgical Candidates with Intracranial Metastases

Keywords

UN SDGs

Access to Document

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Cite this