Description

In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are both effective and cost-effective. Usually a single study will not fully address these issues and it is desirable to synthesize evidence from multiple sources. This book aims to provide a practical guide to evidence synthesis for the purpose of decision making, starting with a simple single parameter model, where all studies estimate the same quantity (pairwise meta-analysis) and progressing to more complex multi-parameter structures (including meta-regression, mixed treatment comparisons, Markov models of disease progression, and epidemiology models). A comprehensive, coherent framework is adopted and estimated using Bayesian methods.

Key features:

  • A coherent approach to evidence synthesis from multiple sources.
  • Focus is given to Bayesian methods for evidence synthesis that can be integrated within cost-effectiveness analyses in a probabilistic framework using Markov Chain Monte Carlo simulation.
  • Provides methods to statistically combine evidence from a range of evidence structures.
  • Emphasizes the importance of model critique and checking for evidence consistency.
  • Presents numerous worked examples, exercises and solutions drawn from a variety of medical disciplines throughout the book.
  • WinBUGS code is provided for all examples.

Evidence Synthesis for Decision Making in Healthcare is intended for health economists, decision modelers, statisticians and others involved in evidence synthesis, health technology assessment, and economic evaluation of health technologies.

Evidence Synthesis for Decision Making in Healthcare

Product form

£55.95

Includes FREE delivery
Usually despatched within 5 days
Hardback by Nicky J. Welton , Alexander J. Sutton

1 in stock

Short Description:

In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are both effective and... Read more

    Publisher: John Wiley & Sons Inc
    Publication Date: 11/05/2012
    ISBN13: 9780470061091, 978-0470061091
    ISBN10: 047006109X

    Number of Pages: 320

    Non Fiction , Education

    Description

    In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are both effective and cost-effective. Usually a single study will not fully address these issues and it is desirable to synthesize evidence from multiple sources. This book aims to provide a practical guide to evidence synthesis for the purpose of decision making, starting with a simple single parameter model, where all studies estimate the same quantity (pairwise meta-analysis) and progressing to more complex multi-parameter structures (including meta-regression, mixed treatment comparisons, Markov models of disease progression, and epidemiology models). A comprehensive, coherent framework is adopted and estimated using Bayesian methods.

    Key features:

    • A coherent approach to evidence synthesis from multiple sources.
    • Focus is given to Bayesian methods for evidence synthesis that can be integrated within cost-effectiveness analyses in a probabilistic framework using Markov Chain Monte Carlo simulation.
    • Provides methods to statistically combine evidence from a range of evidence structures.
    • Emphasizes the importance of model critique and checking for evidence consistency.
    • Presents numerous worked examples, exercises and solutions drawn from a variety of medical disciplines throughout the book.
    • WinBUGS code is provided for all examples.

    Evidence Synthesis for Decision Making in Healthcare is intended for health economists, decision modelers, statisticians and others involved in evidence synthesis, health technology assessment, and economic evaluation of health technologies.

    Customer Reviews

    Be the first to write a review
    0%
    (0)
    0%
    (0)
    0%
    (0)
    0%
    (0)
    0%
    (0)

    Recently viewed products

    © 2024 Book Curl,

      • American Express
      • Apple Pay
      • Diners Club
      • Discover
      • Google Pay
      • Maestro
      • Mastercard
      • PayPal
      • Shop Pay
      • Union Pay
      • Visa

      Login

      Forgot your password?

      Don't have an account yet?
      Create account