Calculate the C statistic (equivalent to the area under the Receiver Operating Characteristic Curver ROC) for a logistic regression model, a measure of goodness of fit for binary outcomes in a logistic regression model.
Usage
Cstat(x, ...)
"Cstat"(x, ...)
"Cstat"(x, resp, ...)
Arguments
x
the linear model
resp
the response variable
...
further arguments to be passed to other functions.
Value
Details
Values for this measure range from 0.5 to 1.0. A value of 0.5 indicates that the model is no better than chance at making a prediction of membership in a group and a value of 1.0 indicates that the model perfectly identifies those within a group and those not. Models are typically considered reasonable when the C-statistic is higher than 0.7 and strong when C exceeds 0.8.
Confidence intervals for this measure can be calculated by bootstrap.
References
Hosmer D.W., Lemeshow S. (2000) Applied Logistic Regression (2nd Edition). New York, NY: John Wiley & Sons