model
{
   for(i in 1:n) 
   {
      logit(mu[i]) <- beta0 + beta1*sbirthweight[i]
      BPD[i] ~ dbern(mu[i])	
   }	
   beta0 ~ dnorm(0,1.0E-8)
   beta1 ~ dnorm(0,1.0E-8)
}