A Note on the Asymptotic Variance of Survival Function in the Semi-Markov Model
In Malani and Neilsen (1992) we have proposed alternative estimates of survival function (for time to disease) using a simple marker that describes time to some intermediate stage in a disease process. In this paper we derive the asymptotic variance of one such proposed estimator using two different methods and compare terms of order 1/n when there is no censoring. In the absence of censoring the asymptotic variance obtained using the Greenwood type approach converges to exact variance up to terms involving 1/n. But the asymptotic variance obtained using the theory of the counting process and results from Voelkel and Crowley (1984) on semi-Markov processes has a different term of order 1/n. It is not clear to us at this point why the variance formulae using the latter approach give different results.
Malani, Hina M.; Nielsen, Jens; and Redfearn, William J., "A Note on the Asymptotic Variance of Survival Function in the Semi-Markov Model" (April 1992). U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 29.
This document is currently not available here.