In this paper Bayeaian approach isaklopted to develop inferences about parametera in proportional odds models. Bayesian posteriorintervals for coefficienta in proportional odds models are derived by using approximation given in PBEaIBoN (1981). The resulta are illustrated by using the lung cancer su
A Bayesian approach to sensitivity analysis
β Scribed by James C. Felli; Gordon B. Hazen
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 95 KB
- Volume
- 8
- Category
- Article
- ISSN
- 1057-9230
No coin nor oath required. For personal study only.
β¦ Synopsis
Sensitivity analysis has traditionally been applied to decision models to quantify the stability of a preferred alternative to parametric variation. In the health literature, sensitivity measures have traditionally been based upon distance metrics, payoff variations, and probability measures. We advocate a new approach based on information value and argue that such an approach is better suited to address the decision-maker's real concerns. We provide an example comparing conventional sensitivity analysis to one based on information value. This article is a US government work and is in the public domain in the United States.
π SIMILAR VOLUMES
Bayesian approach to inverse problems / edited by JΓ©rΓ΄me Idier. p. cm. Includes bibliographical references and index.