The use of decision analytic models to inform clinical decision making in the management of hepatocellular carcinoma.

Abstract:

:Decision analysis helps evaluate competing strategies under conditions of uncertainty in a wide variety of clinical settings. Despite some limitations, decision trees and Markov models remain essential tools for medical decision analysts. These techniques allow comparison of competing management strategies in a quantitative fashion. Sensitivity analysis is an important feature of decision analytic models that identify important factors that affect the outcome of decisions under considerations. Judiciously used, decision analytic models allow a quantitative evaluation of existing data as they relate to strategies ranging from optimizing clinical management at the patient level to allocating health care resources at the societal level.

journal_name

Clin Liver Dis

journal_title

Clinics in liver disease

authors

Kim WR

doi

10.1016/j.cld.2004.12.004

subject

Has Abstract

pub_date

2005-05-01 00:00:00

pages

225-34

issue

2

eissn

1089-3261

issn

1557-8224

pii

S1089-3261(04)00125-4

journal_volume

9

pub_type

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