Performs a concordance/disconcordance (C-statistic) test on binomial models.
Usage
concordance(y, p)
Arguments
y
vector of binomial response variable used in model
p
estimated probabilities from fit binomial model
Value
list object with: concordance, discordance, tied and pairs
References
Austin, P.C. & E.W. Steyerberg (2012) Interpreting the concordance statistic of a logistic regression model: relation to the variance and odds ratio of a continuous explanatory variable. BMC Medical Research Methodology, 12:82
Harrell, F.E. (2001) Regression modelling strategies. Springer, New York, NY.
Royston, P. & D.G. Altman (2010) Visualizing and assessing discrimination in the logistic regression model. Statistics in Medicine 29(24):2508-2520
# NOT RUN {data(mtcars)
dat <- subset(mtcars, select=c(mpg, am, vs))
glm.reg <- glm(vs ~ mpg, data = dat, family = binomial)
concordance(dat$vs, predict(glm.reg, type = "response"))
# }