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- W2036584065 abstract "A class of semi-Markov models, those which have proportional hazards and which are forward-going (if state $j$ can be reached from $i$, then $i$ cannot be reached from $j$), are shown to fit into the multiplicative intensity model of counting processes after suitable random time changes. Standard large-sample results for counting processes following this multiplicative model can therefore be used to make inferences on the above class of semi-Markov models, including the case where observations may be censored. Large-sample results for a four-state model used in clinical trials are presented." @default.
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- W2036584065 date "1984-03-01" @default.
- W2036584065 modified "2023-10-02" @default.
- W2036584065 title "Nonparametric Inference for a Class of Semi-Markov Processes with Censored Observations" @default.
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- W2036584065 doi "https://doi.org/10.1214/aos/1176346398" @default.
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