An application of Markov chain modeling and semi-parametric regression for recurrent events in health data

Author(s):  
Rizwan Suliankatchi Abdulkader ◽  
Venugopal Deneshkumar ◽  
K. Senthamarai Kannan ◽  
Vijayakumar Koyilil ◽  
Angela Tavares Paes ◽  
...  
2014 ◽  
Vol 4 (1) ◽  
pp. 1-29 ◽  
Author(s):  
Lars Frederik Brandt Henriksen ◽  
Jeppe Woetmann Nielsen ◽  
Mogens Steffensen ◽  
Christian Svensson

2019 ◽  
Vol 99 ◽  
pp. 101705 ◽  
Author(s):  
Anders Reenberg Andersen ◽  
Wim Vancroonenburg ◽  
Greet Vanden Berghe

1974 ◽  
Vol 11 (1) ◽  
pp. 190-192 ◽  
Author(s):  
M. B. Rajarshi

Success runs of a fixed length in a two-state Markov chain are discussed. The results are analogous to those in the case of independent Bernoulli trials. The generating function of the waiting time for the first occurrence of a success run is obtained from the theory of recurrent events. Under certain conditions, the distribution of the number of long runs in a large number of trials is shown to be Poisson.


2005 ◽  
Vol 88 (4) ◽  
pp. 2541-2553 ◽  
Author(s):  
Baiyu Zhou ◽  
David Beckwith ◽  
Laura R. Jarboe ◽  
James C. Liao

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