Application of a continuous-time Markov chain to a preclinical study

Journal Article

A continuous-time Markov model is used to analyze electrocardiogram data obtained from a preclinical study in rabbits of five antiarrhythmic compounds. The preclinical protocol and data are introduced briefly. Some theoretical background for finite-state continuous-time Markov chain models is presented. The electrocardiogram data are then modeled as a continuous- time Markov process with the states being five categories of arrhythmias. The Markov model used assumes that the dwell times in the states are independent and exponentially distributed according to a parameter which depends on the antiarrhythmic compound and the arrhythmia state. For the five antiarrhythmic compounds the transition probabilities from state-to-state and the limiting distributions of the process are calculated and compared.

Duke Authors

Cited Authors

  • Al-Khalidi, HR; Schnell, DJ

Published Date

  • 1997

Published In

  • Drug Information Journal

Volume / Issue

  • 31 / 2

Start / End Page

  • 607 - 613