model {

for (i in 1:n) {
	t[i] ~ dweib(2, mu[i]) I(t.cens[i], )
	mu[i] <- exp(-beta0 - beta1*x[i])
}

beta0 ~ dnorm( 7.53, 25)
beta1 ~ dnorm(0,.0001) #non-informative

}