hello,
I have a problem in how to generate data in a simulation 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 to get similar results as the expected model.

Thank you,

Sigalit.

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