Literature DB >> 10520688

Sensitivity analysis on a chance node with more than two branches.

P P Sendi1, R T Clemen.   

Abstract

Sensitivity analysis is an essential part of decision analysis. The literature on medical decision analysis suggests the use of two-branch chance nodes in decision trees to avoid logical inconsistencies during sensitivity analysis. The authors show that the two-branch decomposition is not appropriate for sensitivity analysis when multiple outcomes from a single state cannot be disentangled into a sensible sequence of events. They recommend retaining the natural structure of the tree and propose two sensitivity-analysis methods for use on chance nodes with three or more branches.

Mesh:

Year:  1999        PMID: 10520688     DOI: 10.1177/0272989X9901900418

Source DB:  PubMed          Journal:  Med Decis Making        ISSN: 0272-989X            Impact factor:   2.583


  4 in total

1.  A Procedure for Deriving Formulas to Convert Transition Rates to Probabilities for Multistate Markov Models.

Authors:  Edmund Jones; David Epstein; Leticia García-Mochón
Journal:  Med Decis Making       Date:  2017-04-05       Impact factor: 2.583

2.  Quantifying patient preferences for symptomatic breast clinic referral: a decision analysis study.

Authors:  Aisling Quinlan; Kirsty K O'Brien; Rose Galvin; Colin Hardy; Ronan McDonnell; Doireann Joyce; Ronald D McDowell; Emma Aherne; Claire Keogh; Katriona O'Sullivan; Tom Fahey
Journal:  BMJ Open       Date:  2018-05-31       Impact factor: 2.692

3.  Patient decision aids: a content analysis based on a decision tree structure.

Authors:  Alexandra Gheondea-Eladi
Journal:  BMC Med Inform Decis Mak       Date:  2019-07-19       Impact factor: 2.796

4.  Estimating Transition Probabilities from Published Evidence: A Tutorial for Decision Modelers.

Authors:  Risha Gidwani; Louise B Russell
Journal:  Pharmacoeconomics       Date:  2020-11       Impact factor: 4.981

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.