The Cochrane Handbook for Systematic Reviews of Interventions is the official document that describes in detail the process of preparing and maintaining Cochrane systematic reviews on the effects of healthcare interventions.

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Cochrane Handbook for Systematic Reviews of Interventions

EASL-EORTC clinical practice guidelines : management of hepatocellular carcinoma

Background and Purpose—The authors present an overview of the current evidence and management recommendations for evaluation and treatment of adults with acute ischemic stroke. The intended audienc...

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Guidelines for the Early Management of Patients With Acute Ischemic Stroke A Guideline for Healthcare Professionals From the American Heart Association/American Stroke Association

Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Estimation and Inference in Econometrics

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The Theory of Industrial Organization

The purpose of economic evaluation is to inform decisions intended to improve healthcare. The new edition of Methods for the Economic Evaluation of Health Care Programmes equips the reader with the necessary tools and understanding required to undertake evaluations by providing an outline of key principles and a 'tool kit' based on the authors' own experiences of undertaking economic evaluations. Building on the strength of the previous edition, the accessible writing style ensures the text is key reading for the non-expert reader, as no prior knowledge of economics is required. The book employs a critical appraisal framework, which is useful both to researchers conducting studies and to decision-makers assessing them. Practical examples are provided throughout to aid learning and understanding. The book discusses the analytical and policy challenges that face health systems in seeking to allocate resources efficiently and fairly. New chapters include 'Principles of economic evaluation' and 'Making decisions in healthcare' which introduces the reader to core issues and questions about resource allocation, and provides an understanding of the fundamental principles which guide decision making. A key part of evidence-based decision making is the analysis of all the relevant evidence to make informed decisions and policy. The new chapter 'Identifying, synthesising and analysing evidence' highlights the importance of systematic review, and how and why these methods are used. As methods of analysis continue to develop, the chapter on 'Characterising, reporting and interpreting uncertainty' introduces the reader to recent methods of analysis and why characterizing uncertainty matters for health care decisions. The fourth edition of Methods for the Economic Evaluation of Health Care Programmes has been thoroughly revised and updated, making it essential reading for anyone commissioning, undertaking, or using economic evaluations in health care, including health service professionals, health economists, and health care decision makers.

Methods for the Economic Evaluation of Health Care Programmes

1. Introduction 2. Key aspects of decision modelling for economic evaluation 3. Further developments in decision analytic models for economic evaluation 4. Making decision models probabilistic 5. Analysing and presenting simulation output from probabilistic models 6. Decision-making, uncertainty and the value of information 7. Efficient research design 8. Future challenges for cost-effectiveness modelling of health care interventions

Decision Modelling for Health Economic Evaluation

Decision-making in health care is inevitably undertaken in a context of uncertainty concerning the effectiveness and costs of health care interventions and programmes. One method that has been suggested to represent this uncertainty is the cost-effectiveness acceptability curve. This technique, which directly addresses the decision-making problem, has advantages over confidence interval estimation for incremental cost-effectiveness ratios. However, despite these advantages, cost-effectiveness acceptability curves have yet to be widely adopted within the field of economic evaluation of health care technologies. In this paper we consider the relationship between cost-effectiveness acceptability curves and decision-making in health care, suggest the introduction of a new concept more relevant to decision-making, that of the cost-effectiveness frontier, and clarify the use of these techniques when considering decisions involving multiple interventions. We hope that as a result we can encourage the greater use of these techniques.

Representing uncertainty: the role of cost-effectiveness acceptability curves.

The irrelevance of inference: a decision-making approach to the stochastic evaluation of health care technologies.

BACKGROUND: Decision-analytic models represent an explicit way to synthesise evidence currently available on the outcomes and costs of alternative (mutually exclusive) healthcare interventions. Usually their objective is to obtain a clear understanding of the relationship between incremental cost and effect in order to assess relative cost-effectiveness and to determine which interventions should be adopted given existing information. Given that the use of decision-analytic modelling for health technology assessment has increased exponentially in recent years, there is a need to consider how good practice in the field has been defined. Since the 1980s, several published guidelines have been available for those developing and evaluating decision-analytic models for health technology assessment. However, given the speed at which economic evaluation methodology has progressed, it is timely to review, critically appraise and consolidate those existing guidelines on the use of decision-analytic modelling in health technology assessment, and to identify key issues where guidance is lacking.

OBJECTIVES: To identify existing guidelines and develop a synthesised guideline plus accompanying checklist. In addition to provide guidance on key theoretical, methodological and practical issues and consider the implications of this research for what might be expected of future decision-analytic models.

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Karl Claxton

Papers

Methods for the Economic Evaluation of Health Care Programmes

Decision Modelling for Health Economic Evaluation

Representing uncertainty: the role of cost-effectiveness acceptability curves.

The irrelevance of inference: a decision-making approach to the stochastic evaluation of health care technologies.

Review of guidelines for good practice in decision-analytic modelling in health technology assessment