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tiss
2007 Nov 08
1
how to generate data in a simulation study
...n study.
I have a logistic model to evaluate p by 3 covariates.
I need to generate 4 variables: the binary outcome Y and 3 covariates:
gender (binary) and aps and tiss (continuous variables).
I have the logistic model which is the expected model:
log(p(y=1)/(1-p(y=1))=-1.659-0.05*sex+0.063*aps+0.04*tiss0)
I generate the outcome y like this:
for (i in 1:500){
z1[i] <- rbinom(1, 1, .6)
x1[i] <- rbinom(1, 1, .95)
y1[i] <- z1[i]*x1[i]
}
my question is : how to generate the covariates aps, which can get values
between 2-37, and tiss, which can get values between 9-36.
I want at the and...
2008 Feb 23
1
clarification about glm
...at1<-data.frame(y,unit,x1,x2)
log_u <- glm(y~.,family=binomial,data=dat1)
summary(log_u)
Estimate Std. Error z value Pr(>|z|)
(Intercept) -0.54247 0.24658 -2.200 0.0278 *
unit1 -0.13052 0.22861 -0.571 0.5680
aps 0.03098 0.01433 2.162 0.0306 *
tiss0 0.02522 0.01101 2.291 0.0219 *
Thank you,
Sigalit.
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