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Non-and Semi-Parametric Estimation of Transition Probabilities from Censored Observation of a Non-Homogeneous Markov Process
Per Kragh Andersen, Lars Sommer Hansen and Niels Keiding
Scandinavian Journal of Statistics
Vol. 18, No. 2 (1991), pp. 153-167
Published by: Wiley on behalf of Board of the Foundation of the Scandinavian Journal of Statistics
Stable URL: http://www.jstor.org/stable/4616198
Page Count: 15
You can always find the topics here!Topics: Statism, Regression analysis, Transition probabilities, Markov processes, Statistical estimation, Statistical models, Estimators, Placebos, Markov models, Censorship
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Non-homogeneous Markov process models for life history data are studied. We review Aalen & Johansen's (1978) methodology for estimating transition probabilities in such models and extend the methods to the case where each transition intensity is specified via a proportional intensities regression model. Data from a clinical trial in liver cirrhosis serve as illustration.
Scandinavian Journal of Statistics © 1991 Board of the Foundation of the Scandinavian Journal of Statistics