HEDS is part of the School of Health and Related Research (ScHARR) at the University of Sheffield. We undertake research, teaching, training and consultancy on all aspects of health related decision science, with a particular emphasis on health economics, HTA and evidence synthesis.

Friday, 12 August 2011

Simulation Modeling in Health

Medical Decision Making’s July/August edition is devoted to simulation modeling.  The articles, including two from HEDS and CHEBS, are:

Exploring the Unknown and the Unknowable with Simulation Models
Cross-Model Comparisons to Improve the Value of Modeling: The Case of Colorectal Cancer Screening
Using Models to Make Policy: An Inflection Point?
Exploring Model Structure
A Systematic Comparison of Microsimulation Models of Colorectal Cancer: The Role of Assumptions about Adenoma Progression
Clarifying Differences in Natural History between Models of Screening: The Case of Colorectal Cancer
How Does Early Detection by Screening Affect Disease Progression?: Modeling Estimated Benefits in Prostate Cancer Screening
Simulation of Quality-Adjusted Survival in Chronic Diseases: An Application in Type 2 Diabetes
Bayesian Inference for Comorbid Disease Risks Using Marginal Disease Risks and Correlation Information From a Separate Source
Can Life Expectancy and QALYs Be Improved by a Framework for Deciding Whether to Apply Clinical Guidelines to Patients With Severe Comorbid Disease?
Integrating Health Economics Into the Product Development Cycle: A Case Study of Absorbable Pins for Treating Hallux Valgus
Calibrating Models
Estimating the Unknown Parameters of the Natural History of Metachronous Colorectal Cancer Using Discrete-Event Simulation
Bayesian Calibration of a Natural History Model with Application to a Population Model for Colorectal Cancer
Representing Uncertainty in Models
A Concise Equation That Captures the Essential Elements of One-Way Sensitivity Analyses in Health Economic Models
The Combined Analysis of Uncertainty and Patient Heterogeneity in Medical Decision Models
A Framework for Addressing Structural Uncertainty in Decision Models
Accounting for Methodological, Structural, and Parameter Uncertainty in Decision-Analytic Models: A Practical Guide

The table of contents, and that of other key journals, can be accessed from the left hand border of the blog.