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ProportionalHazardsAnalysis Properties

The ProportionalHazardsAnalysis type exposes the following members.

Properties
  NameDescription
Public propertyChiSquare
Gets the Chi-Square (Likelihood Ratio) Test for the model.
Public propertyCoefficients
Gets the collection of coefficients of the model.
Public propertyCoefficientValues
Gets the value of each coefficient.
Public propertyConfidences
Gets the 95% Confidence Intervals (C.I.) for each coefficient found in the regression.
Public propertyDeviance
Gets the Deviance of the model.
Public propertyEventName
Gets or sets the name of event occurrence variable in the model.
Public propertyEvents
Gets whether the event of interest happened or not.
Public propertyHazardRatios
Gets the Hazard Ratio for each coefficient found during the proportional hazards.
Public propertyInputNames
Gets or sets the name of the input variables for the model.
Public propertyIterations
Gets or sets the maximum number of iterations to be performed by the regression algorithm. Default is 50.
Public propertyLikelihoodRatioTests
Gets the Likelihood-Ratio Tests for each coefficient.
Public propertyLogLikelihood
Gets the Log-Likelihood for the model.
Public propertyOutputs
Gets the dependent variable value for each of the source input points.
Public propertyRegression
Gets the Proportional Hazards model created and evaluated by this analysis.
Public propertyResult Obsolete.
Gets the resulting probabilities obtained by the logistic regression model.
Public propertySource Obsolete.
Source data used in the analysis.
Public propertyStandardErrors
Gets the Standard Error for each coefficient found during the proportional hazards.
Public propertyTimeName
Gets or sets the name of the output variable for the model.
Public propertyTimeToEvent
Gets the time passed until the event occurred or until the observation was censored.
Public propertyToken
Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.
Public propertyTolerance
Gets or sets the difference between two iterations of the regression algorithm when the algorithm should stop. The difference is calculated based on the largest absolute parameter change of the regression. Default is 1e-5.
Public propertyWaldTests
Gets the Wald Tests for each coefficient.
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