Greg wrote:
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
Check out:
Predxcon or predxcat
or
logpred , regpred
or
The commands at Scott Long's Homepage (http://www.indiana.edu/~jslsoc/)
Christer
"Daniel, Gregory"
<[email protected]> To: "'[email protected]'" <[email protected]>
Sent by: cc:
owner-statalist@hsphsun2. Subject: st: predict or adjust after logistic?
harvard.edu
02.04.03 21:54
Please respond to
statalist
Dear Statalist,
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.
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