ProportionalHazardsChiSquare Method (Double, Double, SurvivalOutcome)

public ChiSquareTest ChiSquare(
	double[][] input,
	double[] time,
	SurvivalOutcome[] output
)

Public Function ChiSquare ( 
	input As Double()(),
	time As Double(),
	output As SurvivalOutcome()
) As ChiSquareTest

Parameters

input

Type: SystemDouble
A set of input data.

time

Type: SystemDouble
The time-to-event before the output occurs.

output

Type: Accord.Statistics.Distributions.UnivariateSurvivalOutcome
The corresponding output data.

Return Value

The Chi-square test, also called the likelihood ratio test or the log-likelihood test is based on the deviance of the model (-2*log-likelihood). The log-likelihood ratio test indicates whether there is evidence of the need to move from a simpler model to a more complicated one (where the simpler model is nested within the complicated one).

The difference between the log-likelihood ratios for the researcher's model and a simpler model is often called the "model chi-square".

Reference