It is becoming increasingly important to examine the relationship between the outcomes of a clinical trial and the costs of the medical therapy under study. The results of such analysis can affect reimbursement decisions for...

Buy Now From Amazon

It is becoming increasingly important to examine the relationship between the outcomes of a clinical trial and the costs of the medical therapy under study. The results of such analysis can affect reimbursement decisions for new medical technologies, drugs, devices or diagnostics. It can aid companies seeking to make claims about the cost-effectiveness of their product, as well as allowing early consideration of the economic value of therapies which may be important to improving initial adoption decisions. It is also vital for addressing the requirements of regulatory bodies.

Economic Evaluation in Clinical Trials provides practical advice on how to conduct cost-effectiveness analyses in controlled trials of medical therapies. This new edition has been extensively rewritten and revised; topics discussed range from design issues such as the types of services that should be measured and price weights, to assessment of quality-adjusted life years. Illustrative materials, case histories and worked examples are included to encourage the reader to apply the methods discussed. These exercises are supported with datasets, programmes and solutions made available online.


Similar Products

Decision Modelling for Health Economic Evaluation (Handbooks in Health Economic Evaluation)Cost-Effectiveness in Health and MedicineApplied Methods of Cost-effectiveness Analysis in Healthcare (Handbooks in Health Economic Evaluation Series)Methods for the Economic Evaluation of Health Care Programmes (Oxford Medical Publications)Methods for the Economic Evaluation of Health Care ProgrammesApplied Methods of Cost-benefit Analysis in Health Care (Handbooks in Health Economic Evaluation)Mastering 'Metrics: The Path from Cause to EffectDesign & Analysis of Clinical Trials for Economic Evaluation & Reimbursement: An Applied Approach Using SAS & STATA (Chapman & Hall/CRC Biostatistics Series)