Decision Modelling for Health Economic Evaluation
By A. Briggs, M. Sculpher, K. Claxton. 2006
1,161 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/e2d9ccb77a77b0fff5b064e3acbd9287c09104d4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Bogumil Kaminski
- Michal Jakubczyk
- A. Briggs
- J. Caro
- Przemysław Szufel
- U. Siebert
- M. Weinstein
- K. Kuntz
Citations in the corpus
- Model Parameter Estimation and Uncertainty Analysis (2012, methodology): “In this case, consistency between DSA and the fully Bayesian probabilistic approach would be retained if the DSA interval estimate were based on the Bayesian posterior’s 95% highest density region.(14) Some uncertainty analyses do not require formal ascertainment of parameter uncertainty.”
- Modeling good research practices--overview: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force--1. (2012, background): “General textbooks and tutorial articles covering these techniques exist [21–25], and specific publications that address the methods are cited throughout.”
- A framework for sensitivity analysis of decision trees (2017, methodology): “…in a tree (i.e. the variation in combination, see French (2003)), while the standard approach in the literature is to change parameters one at a time and then inspect the results using a tornado diagram, e.g. Briggs et al. (2006), Briggs et al. (2012), Howard (1988), and Lee et al. (2009).”