Display Settings:

Format

Send to:

Choose Destination
See comment in PubMed Commons below
Med Decis Making. 1997 Apr-Jun;17(2):152-9.

Primer on medical decision analysis: Part 5--Working with Markov processes.

Author information

  • 1University of Toronto Programme in Clinical Epidemiology and Health Care Research (The Toronto Hospital and The Sunnybrook Health Science Centre Units), Ontario, Canada.

Abstract

Clinical decisions often have long-term implications. Analysis encounter difficulties when employing conventional decision-analytic methods to model these scenarios. This occurs because probability and utility variables often change with time and conventional decision trees do not easily capture this dynamic quality. A Markov analysis performed with current computer software programs provides a flexible and convenient means of modeling long-term scenarios. However, novices should be aware of several potential pitfalls when attempting to use these programs. When deciding how to model a given clinical problem, the analyst must weigh the simplicity and clarity of a conventional tree against the fidelity of a Markov analysis. In direct comparisons, both approaches gave the same qualitative answers.

Comment in

PMID:
9107610
[PubMed - indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for HighWire
    Loading ...
    Write to the Help Desk