Methods in Comparative Effectiveness Research

Constantine Gatsonis, Sally C. Morton

February 7, 2017 by Chapman and Hall/CRC
Reference - 554 Pages - 51 B/W Illustrations
ISBN 9781466511965 - CAT# K14862
Series: Chapman & Hall/CRC Biostatistics Series

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Features

  • Describes statistical methods in comparative effectiveness research (CER) that address the generation and analysis of new evidence, as well as the synthesis of existing evidence
  • Discusses the language and terminology of CER, its history, and the policy setting
  • Includes a long summary discussing the content and relevance of the research questions that can be addressed with the methodology presented in the chapter
  • Contains a consolidated index

Summary

Comparative effectiveness research (CER) is the generation and synthesis of evidence that compares the benefits and harms of alternative methods to prevent, diagnose, treat, and monitor a clinical condition or to improve the delivery of care (IOM 2009). CER is conducted to develop evidence that will aid patients, clinicians, purchasers, and health policy makers in making informed decisions at both the individual and population levels. CER encompasses a very broad range of types of studies—experimental, observational, prospective, retrospective, and research synthesis.

This volume covers the main areas of quantitative methodology for the design and analysis of CER studies. The volume has four major sections—causal inference; clinical trials; research synthesis; and specialized topics. The audience includes CER methodologists, quantitative-trained researchers interested in CER, and graduate students in statistics, epidemiology, and health services and outcomes research. The book assumes a masters-level course in regression analysis and familiarity with clinical research.