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Algorithm 1: The flow chart illustrates the details of Algo..:

Justine B. Nasejje (14307679) ; Albert Whata (14307682) ; Charles Chimedza (14307685)
https://figshare.com/articles/figure/Algorithm_1_The_flow_chart_illustrates_the_details_of_Algorithm_1_that_is_to_say_the_random_survival_forest_algorithm_/21787624. , 2022

Link: https://doi.org/10.1371/journal.pone.0279435.g001

RT Journal
T1 <Title>Algorithm 1: The flow chart illustrates the details of Algorithm 1, that is to say, the random survival forest algorithm</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivfreestate:oai:figshare.com:article_21787624&Exemplar=1&LAN=DE
				
A1 Justine B. Nasejje (14307679)
A1 Albert Whata (14307682)
A1 Charles Chimedza (14307685)
YR 2022
K1 Physiology
K1 Sociology
K1 Biological Sciences not elsewhere classified
K1 Mathematical Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 researchers present estimates
K1 random survival forest
K1 error rates compared
K1 draw valid inferences
K1 5 &# 215
K1 thorough statistical approach
K1 ten different seeds
K1 >- fold cv
K1 reflect true differences
K1 provide statistical evidence
K1 div >< p
K1 classical statistical models
K1 predictive performance compared
K1 identifying significant differences
K1 statistical approaches
K1 predictive performance
K1 little evidence
K1 different scenarios
K1 >- test
K1 two models
K1 results indicate
K1 model performance
K1 machine learning
K1 lower type
K1 linear simulations
K1 interaction simulations
K1 indeed significant
K1 complex relationships
K1 competing risks
K1 also revealed
JF https://figshare.com/articles/figure/Algorithm_1_The_flow_chart_illustrates_the_details_of_Algorithm_1_that_is_to_say_the_random_survival_forest_algorithm_/21787624
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0279435.g001
DO https://doi.org/10.1371/journal.pone.0279435.g001
SF ELIB - SuUB Bremen

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