Methods for assessing the cost-effectiveness of public health interventions: key challenges and recommendations

H Weatherly, M Drummond, K Claxton, R Cookson… - Health policy, 2009 - Elsevier
RATIONALE: Increasing attention is being given to the evaluation of public health
interventions. Methods for the economic evaluation of clinical interventions are well …

Dynamic microsimulation models for health outcomes: a review

CM Rutter, AM Zaslavsky… - Medical Decision …, 2011 - journals.sagepub.com
Background. Microsimulation models (MSMs) for health outcomes simulate individual event
histories associated with key components of a disease process; these simulated life histories …

Key principles for the improved conduct of health technology assessments for resource allocation decisions

MF Drummond, JS Schwartz, B Jönsson… - International journal of …, 2008 - cambridge.org
Health technology assessment (HTA) is a dynamic, rapidly evolving process, embracing
different types of assessments that inform real-world decisions about the value (ie, benefits …

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 …

Probabilistic sensitivity analysis in health economics

G Baio, AP Dawid - Statistical methods in medical research, 2015 - journals.sagepub.com
Health economic evaluations have recently become an important part of the clinical and
medical research process and have built upon more advanced statistical decision-theoretic …

Recent developments in decision-analytic modelling for economic evaluation

MC Weinstein - Pharmacoeconomics, 2006 - Springer
The past few years have seen rapid changes in the methods of decision-analytic modelling
of healthcare programmes for the purposes of economic evaluation. This paper focuses on …

Accounting for methodological, structural, and parameter uncertainty in decision-analytic models: a practical guide

J Bilcke, P Beutels, M Brisson… - Medical Decision …, 2011 - journals.sagepub.com
Accounting for uncertainty is now a standard part of decision-analytic modeling and is
recommended by many health technology agencies and published guidelines. However, the …

[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 …

One-way sensitivity analysis for probabilistic cost-effectiveness analysis: conditional expected incremental net benefit

C McCabe, M Paulden, I Awotwe, A Sutton, P Hall - Pharmacoeconomics, 2020 - Springer
Although probabilistic analysis has become the accepted standard for decision analytic cost-
effectiveness models, deterministic one-way sensitivity analysis continues to be used to …

Uncertainty and patient heterogeneity in medical decision models

B Groot Koerkamp, MC Weinstein… - Medical Decision …, 2010 - journals.sagepub.com
Parameter uncertainty, patient heterogeneity, and stochastic uncertainty of outcomes are
increasingly important concepts in medical decision models. The purpose of this study is to …