Abstract
Two approaches to estimating rate parameters in stochastic compartmental models are compared. It is shown that the methods are essentially equivalent both computationally and in terms of asymptotic efficiency. A direct comparison is made using data from a cancer treatment follow-up study. Keywords:Compartmental model, Markov process, Conditional mean and variance.