The steady‐state probabilities for regenerative semi‐Markov processes with application to prevention and screening

Ori Davidov

Applied Stochastic Models and Data Analysis, 1999, vol. 15, issue 1, 55-63

Abstract: There is a growing interest in planning and implementing broad‐scale clinical trials with a focus on prevention and screening. Often, the data‐generating mechanism for such experiments can be viewed as a semi‐Markov process. In this communication, we develop general expressions for the steady‐state probabilities for regenerative semi‐Markov processes. Hence, the probability of being in a certain state at the time of recruitment to a clinical trial can be calculated. An application to breast cancer prevention is demonstrated. Copyright © 1999 John Wiley & Sons, Ltd.

Date: 1999
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https://doi.org/10.1002/(SICI)1099-0747(199903)15:13.0.CO;2-4

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Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmda:v:15:y:1999:i:1:p:55-63

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