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coxregnode properties

coxregnode properties

Last updated: Feb 11, 2025
coxregnode properties

Cox node iconThe Cox regression node enables you to build a survival model for time-to-event data in the presence of censored records. The model produces a survival function that predicts the probability that the event of interest has occurred at a given time (t) for given values of the input variables.

Example

node = stream.create("coxreg", "My node")
node.setPropertyValue("survival_time", "tenure")
node.setPropertyValue("method", "BackwardsStepwise")
# Expert tab
node.setPropertyValue("mode", "Expert")
node.setPropertyValue("removal_criterion", "Conditional")
node.setPropertyValue("survival", True)
Table 1. coxregnode properties
coxregnode Properties Values Property description
survival_time field Cox regression models require a single field containing the survival times.
target field Cox regression models require a single target field, and one or more input fields. See Common modeling node properties for more information.
method Enter
Stepwise
BackwardsStepwise 		 
groups field  
model_type MainEffects
Custom 		 
custom_terms ["BP*Sex" "BP*Age"]  
mode Expert
Simple 		 
max_iterations number  
p_converge 1.0E-4
1.0E-5
1.0E-6
1.0E-7
1.0E-8
0 		 
l_converge 1.0E-1
1.0E-2
1.0E-3
1.0E-4
1.0E-5
0 		 
removal_criterion LR
Wald
Conditional 		 
probability_entry number  
probability_removal number  
output_display EachStep
LastStep 		 
ci_enable flag  
ci_value 90
95
99 		 
correlation flag  
display_baseline flag  
survival flag  
hazard flag  
log_minus_log flag  
one_minus_survival flag  
separate_line field  
value number or string If no value is specified for a field, the default option "Mean" will be used for that field.