Displaying 1 result from an estimated 1 matches for "arndirvi".
2005 Aug 12
0
HowTo derive a correct likelihood-ratio chi-squared statistic from lrm() with a rsc() ?
...best model and not lower as explained above…
The models:
These are the models
knots <- 5
lrm.iRVI <- lrm(arson ~ rcs(iRVI,knots))
lrm.ARND <- lrm(arson ~ rcs(ARND,knots))
lrm.ARNDiRVI <- lrm(arson ~ rcs(ARND,knots)+rcs(iRVI,knots))
and the L.R. model values are bigger, the better the model becomes (it is
the inverse of our derived AIC and c-index). Normally, the best model should
have the lowest G2 value.
Could we solve this by penalizing the model or is there another...