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Table 1 Parameters of a Random Survival Forest with suggested values

From: Random survival forests for dynamic predictions of a time-to-event outcome using a longitudinal biomarker

Parameter

Description

Suggested value

ntree

how many subsamples should be performed

500-1000

sampsize

proportion of the data should be selected for each subsample

63% of available data

samptype

Sampling Done With Replacement (swr) or without replacement (swor)

swr

nodesize

number of unique cases in each terminal node

15

mtry

how many variables should be included as candidates for splitting

\(\sqrt {\text {\# variables}}\)

nsplit

how many splits should be considered for each candidate variable

10

splitrule

impurity measure which aims to create the two most dissimilar daughter nodes at each split

“logrank”