Letter to the editor: The use of fast approximate random forests using subsampling (rfsrc.fast) does not support the conclusion on sample sizes needed for random survival forests

Elena Albu; Ben Van Calster; Laure Wynants

doi:10.1002/sim.10204

Letter to the editor: The use of fast approximate random forests using subsampling (rfsrc.fast) does not support the conclusion on sample sizes needed for random survival forests

Elena Albu^*, Ben Van Calster, Laure Wynants

^*Corresponding author for this work

Research output: Contribution to journal › Comment/Letter to the editor › Academic › peer-review

Original language	English
Pages (from-to)	4778-4780
Number of pages	3
Journal	Statistics in Medicine
Volume	43
Issue number	24
DOIs	https://doi.org/10.1002/sim.10204
Publication status	Published - 30 Oct 2024

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10.1002/sim.10204

Cite this

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title = "Letter to the editor: The use of fast approximate random forests using subsampling (rfsrc.fast) does not support the conclusion on sample sizes needed for random survival forests",

author = "Elena Albu and {Van Calster}, Ben and Laure Wynants",

year = "2024",

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doi = "10.1002/sim.10204",

language = "English",

volume = "43",

pages = "4778--4780",

journal = "Statistics in Medicine",

issn = "0277-6715",

publisher = "John Wiley & Sons Inc.",

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Letter to the editor: The use of fast approximate random forests using subsampling (rfsrc.fast) does not support the conclusion on sample sizes needed for random survival forests. / Albu, Elena; Van Calster, Ben; Wynants, Laure.
In: Statistics in Medicine, Vol. 43, No. 24, 30.10.2024, p. 4778-4780.

Research output: Contribution to journal › Comment/Letter to the editor › Academic › peer-review

TY - JOUR

T1 - Letter to the editor

T2 - The use of fast approximate random forests using subsampling (rfsrc.fast) does not support the conclusion on sample sizes needed for random survival forests

AU - Albu, Elena

AU - Van Calster, Ben

AU - Wynants, Laure

PY - 2024/10/30

Y1 - 2024/10/30

U2 - 10.1002/sim.10204

DO - 10.1002/sim.10204

M3 - Comment/Letter to the editor

SN - 0277-6715

VL - 43

SP - 4778

EP - 4780

JO - Statistics in Medicine

JF - Statistics in Medicine

IS - 24

ER -