  There is a difficulty in finding an estimate of variance of the profile
likelihood estimator in the joint model of longitudinal and survival data. We
solve the difficulty by introducing the ``statistical generalized derivative''.
The derivative is used to show the asymptotic normality of the estimator
without assuming the second derivative of the density function in the model
exists.
