Contribution to the discussion of ‘Survival models and health sequences’ by W. Dempsey and P. McCullagh

Author:

Andersen Per Kragh

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,General Medicine

Reference10 articles.

1. Andersen PK (1986) Time-dependent covariates and Markov processes. In: Moolgavkar SH, Prentice RL (eds) Modern statistical methods in chronic disease epidemiology. Wiley, New York, pp 82–103

2. Andersen PK, Keiding N (2012) Interpretability and importance of functionals in competing risks and multi-state models. Stat Med 31:1074–1088

3. Andersen PK, Liestøl K (2003) Attenuation caused by infrequently updated covariates in survival analysis. Biostatistics 4:633–649

4. Andersen PK, Hansen LS, Keiding N (1991) Non- and semi-parametric estimation of transition probabilities from censored observations of a non-homogeneous Markov process. Scand J Stat 18:153–167

5. Christensen E, Schlichting P, Fauerholdt L, Juhl E, Poulsen H, Tygstrup N (1985) Changes of laboratory variables with time in cirrhosis: prognostic and therapeutic significance. Hepatology 5:843–853

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