[HTML][HTML] Value of information analytical methods: report 2 of the ISPOR value of information analysis emerging good practices task force
The allocation of healthcare resources among competing priorities requires an assessment
of the expected costs and health effects of investing resources in the activities and of the …
of the expected costs and health effects of investing resources in the activities and of the …
[HTML][HTML] Model parameter estimation and uncertainty: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force-6
A model's purpose is to inform medical decisions and health care resource allocation.
Modelers employ quantitative methods to structure the clinical, epidemiological, and …
Modelers employ quantitative methods to structure the clinical, epidemiological, and …
A review of methods for analysis of the expected value of information
In recent years, value-of-information analysis has become more widespread in health
economic evaluations, specifically as a tool to guide further research and perform …
economic evaluations, specifically as a tool to guide further research and perform …
Model parameter estimation and uncertainty analysis: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force Working Group–6
AH Briggs, MC Weinstein, EAL Fenwick… - Medical decision …, 2012 - journals.sagepub.com
A model's purpose is to inform medical decisions and health care resource allocation.
Modelers employ quantitative methods to structure the clinical, epidemiological, and …
Modelers employ quantitative methods to structure the clinical, epidemiological, and …
Estimating multiparameter partial expected value of perfect information from a probabilistic sensitivity analysis sample: a nonparametric regression approach
The partial expected value of perfect information (EVPI) quantifies the expected benefit of
learning the values of uncertain parameters in a decision model. Partial EVPI is commonly …
learning the values of uncertain parameters in a decision model. Partial EVPI is commonly …
Exploring uncertainty in cost-effectiveness analysis
K Claxton - Pharmacoeconomics, 2008 - Springer
This paper describes the key principles of why an assessment of uncertainty and its
consequences are critical for the types of decisions that a body such as the UK National …
consequences are critical for the types of decisions that a body such as the UK National …
Cost effectiveness modelling for health technology assessment: a practical course
This book provides an introduction to decision analytic cost-effectiveness modelling, giving
the theoretical and practical knowledge required to design and implement analyses that …
the theoretical and practical knowledge required to design and implement analyses that …
[HTML][HTML] A conceptual framework for life-cycle health technology assessment
Objectives Health technology assessment (HTA) uses evidence appraisal and synthesis
with economic evaluation to inform adoption decisions. Standard HTA processes sometimes …
with economic evaluation to inform adoption decisions. Standard HTA processes sometimes …
[图书][B] Bayesian methods in health economics
G Baio - 2013 - api.taylorfrancis.com
Health economics is a relatively new discipline, essentially characterised by the integration
of different expertise and perspectives. Clearly, the clinical aspect is fundamental and the …
of different expertise and perspectives. Clearly, the clinical aspect is fundamental and the …
Estimating the expected value of sample information using the probabilistic sensitivity analysis sample: a fast, nonparametric regression-based method
Health economic decision-analytic models are used to estimate the expected net benefits of
competing decision options. The true values of the input parameters of such models are …
competing decision options. The true values of the input parameters of such models are …