Some remarks on semi-Markov processes in medical statistics

P.K. Andersen, O. Borgan, R. Gill and N. Keiding (1982). Linear non-parametric tests for comparison of counting processes, with applications to censored survival data (with discussion). Int. Statist. Rev. 50, 219–258.MathSciNetzbMATHCrossRefGoogle Scholar

D.R. Cox (1972), The statistical analysis of dependencies in point processes. In stochastic point processes, ed. P.A.W. Lewis, 55–66, New York: Wiley.Google Scholar

D.R. Cox and V. Isham (1980), Point processes. London: Chapman & Hall.zbMATHGoogle Scholar

D.R. Cox and D. Oakes (1984), Analysis of survival data. London: Chapman & Hall.Google Scholar

G.E. Dinse & S.W. Lagakos (1982). Nonparametric estimation of lifetime and disease onset distributions from incomplete observations. Biometrics 38, 921–932.zbMATHCrossRefGoogle Scholar

P.M. Fayers and D.R. Jones (1983). Measuring and analysing quality of life in cancer clinical trials: a review. Statistics in Medicine 2, 429–446.CrossRefGoogle Scholar

E. Fix and J. Neyman (1951). A simple stochastic model of recovery, relapse and loss of patients. Human Biology 23, 205–241.Google Scholar

I.B. Gertsbakh (1984). Asymptotic methods in reliability theory: a review. Adv. Appl. Prob. 16, 147–175.MathSciNetzbMATHCrossRefGoogle Scholar

R.D. Gill (1980). Nonparametric estimates based on censored observations of a Markov renewal process. Z. Wahr. 53, 97–116.zbMATHCrossRefGoogle Scholar

S. Johansen (1983). An extension of Cox’s regression model. Int. Statist. Rev. 51, 165–174.MathSciNetzbMATHCrossRefGoogle Scholar

E.L. Kaplan and P. Meier (1958). Nonparametric estimation from incomplete observations. J. Am. Statist. Assoc. 53, 457–481.MathSciNetzbMATHCrossRefGoogle Scholar

S.W. Lagakos (1976). A stochastic model for censored survival time in the presence of an auxiliary variable. Biometrics 32, 551–560.zbMATHCrossRefGoogle Scholar

S.W. Lagakos (1977). Using auxiliary variables for improved estimates of survival time. Biometrics 33, 399–404.zbMATHCrossRefGoogle Scholar

S.W. Lagakos, C.J. Sommer and M. Zelen (1978). Semi-Markov models for partially censored data. Biometrika 65, 311–317.MathSciNetzbMATHCrossRefGoogle Scholar

N. Temkin (1978). An analysis for transient states with application to tumor shrinkage. Biometrics 34, 571–580.zbMATHCrossRefGoogle Scholar

J.G. Voelkel and J. Crowley (1984). Nonparametric inference for a class of semi-Markov processes with censored observations. Ann. Statist. 12, 142–160.MathSciNetzbMATHCrossRefGoogle Scholar

G.H. Weiss and M. Zelen (1965). A semi-Markov model for clinical trials, J. Appl. Prob. 2, 269–285.MathSciNetzbMATHCrossRefGoogle Scholar