Displaying 2 results from an estimated 2 matches for "irvi".
Did you mean:
hirvi
2005 Aug 12
0
HowTo derive a correct likelihood-ratio chi-squared statistic from lrm() with a rsc() ?
...model value we obtain from different models are just the inverse of
the derived c-index and AIC (from the lrm) (?!). So the L.R. Model is higher
for the 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...
2005 Aug 13
1
Penalized likelihood-ratio chi-squared statistic: L.R. model for Goodness of fit?
Dear R list,
From the lrm() binary logistic model we derived the G2 value or the
likelihood-ratio chi-squared statistic given as L.R. model, in the output of
the lrm().
How can this value be penalized for non-linearity (we used splines in the
lrm function)?
lrm.iRVI <- lrm(arson ~ rcs(iRVI,5),
penalty=list(simple=10,nonlinear=100,nonlinear.interaction=4))
This didn’t work properly.
The aim is to obtain a value that can be used to compare the goodness of fit
of the different univariate binary logistic models.
(The lower the value, the better...