Title: Message
Dear
Statalist,
To predict
probabilities and 95% CIs of the predicted probabilities after a multivariate
logistic model, I have previously used the following predict
command:
logistic y x1 x2
x3
predict lr_index,
index
predict se_index,
stdp
gen p_hat =
exp(lr_index)/(1 +exp(lr_index))
gen lb = lr_index -
invnorm(0.975)*se_index
gen ub = lr_index +
invnorm(0.975)*se_index
gen plb =
exp(lb)/(1+exp(lb))
gen pub =
exp(ub)/(1+exp(ub))
bysort x1: tabstat
p_hat plb pub
However, this code
does not allow me to predict probabilities, by(x1), while keeping the other
covariates held constant, as the adjust command does. It seems that
keeping the other covariates held constant while examining the predicted
probabilities individual covariates is useful. Is it possible for me
to do that?
Thanks in
advance.
Greg
Daniel
Gregory
Daniel
Manager, Health Outcomes
Research
Health Core, Inc.
