search for: tiss

Hello, I have a simple (?) simulation problem. I'm doing a simulation with logistic model and I want to reapet it 600 times. The simulation looks like this: z <- 0 x <- 0 y <- 0 aps <- 0 tiss <- 0 for (i in 1:500){ z[i] <- rbinom(1, 1, .6) x[i] <- rbinom(1, 1, .95) y[i] <- z[i]*x[i] if (y[i]==1) aps[i] <- rnorm(1,mean=13.4, sd=7.09) else aps[i] <- rnorm(1,mean=12.67, sd=6.82) if (y[i]==1) tiss[i] <- rnorm(1,mean=20.731,sd=9.751) else tiss[i] <- rnorm(1,mean=18.5...

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...