Two models for assessing prognosis on the basis of successive observations

Abstract This paper describes, derives, and compares two models for assessing the prognosis of patients on the basis of repetitive measurements. It is shown by a Monte Carlo study that for small samples, the first model is slightly better than the second model, while for large samples, both models do equally well. An extension from the univariate to the multivariate case is also presented and discussed.