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Re: st: RRR with CI from logit model
On 2004-11-02, at 16.05, Leonelo Bautista wrote:
On the other hand, I fail to see why you want to calculate relative
I have estimated an ordinal (relaxed proportional odds) model with
-gllamm- and I want to use the estimated parameters to predict
probabilities and estimate RRRs comparing different levels of my
independent variable. Despite the ordinal approach, after estimating
the coefficients, my problem can be reduced to a simple logit with two
covariates and a constant to predict the outcome. As far as I can tell,
it is not possible to estimate my model with a log link. But I will
appreciate any suggestions.
from a logistic model.
Predicting probabilities (with confidence intervals) are straight
forward. Calculating the point estimate of RRR is also no problem.
However, I also want to calculate confidence intervals.
If I use -nlcom- , I get the point estimate and confidence intervals
(CI) but with the paradoxical result that small (very small)
differences in risks are significant with narrow CIs and large
differences in risks are NOT significant with HUGE CIs. The paradox can
also be illustrated with auto.dta. Try it to see for your self (code
was posted earlier:
On 2004-11-02, at 17.26, Ronán Conroy wrote:
I totally agree. That's why I'm trying to estimate RRRs with my logit
model. RRRs make a nice addition to the predicted probabilities. I also
have the objective to show that individuals differ in their subject
specific RRRs because of differences in overall propensity (the random
Relative risks make so much more sense than odds ratios
I appreciate any suggestions.
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