Markov modelling of coronary artery revascularization procedures

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Details

This study provides a new Markov simulation model for requirements of coronary artery revascularization procedures (CARPs) in Western Australia which is one of the few locations in the world with a unique population based longitudinal data for coronary heart disease (CHD) and CARPs based on record linkage. The model also provides estimates of incident CHD cases in WA, and is useful for forecasting the future numbers of incident CHD cases in WA and other similar populations. The models are useful to understand the management and treatment of CHD in WA and to build what-if scenarios based on changes in the model parameters. In particular, these models can provide a range of estimates for requirements of CARPs allowing for changes in incidence/prevalence of CHD and CARPs, increasing levels of effective medical treatment, technological advances in surgical techniques, and population growth. These are demonstrated through two compelling examples. Similar simulation models can be used for modelling the need for other health service usage and incidence/mortality of other chronic diseases.

Autorentext

I am an applied statistician by training. I have keen interest in application of statistics in epidemiology and demography. My current research interests are in risk factors and management of coronary heart disease and cardiovascular disease risk prevention. I have published a good number of peer reviewed articles in reputed journals.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783838351704
    • Sprache Englisch
    • Größe H220mm x B150mm x T18mm
    • Jahr 2012
    • EAN 9783838351704
    • Format Kartonierter Einband (Kt)
    • ISBN 978-3-8383-5170-4
    • Titel Markov modelling of coronary artery revascularization procedures
    • Autor Haider Mannan
    • Untertitel Development and use of a Markov simulation model in CHD incidence/mortality and CARPs
    • Gewicht 451g
    • Herausgeber LAP Lambert Academic Publishing
    • Anzahl Seiten 292
    • Genre Mathematik

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