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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.
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.
A critical yet constructive description of the rich analytical techniques and substantive applications that typify how statistical thinking has been applied at the RAND Corporation over the past two decades. Case studies of public policy problems are useful for teaching because they are familiar: almost everyone knows something abut health insurance, global warming, and capital punishment, to name but a few of the applications covered in this casebook. Each case study has a common format that describes the policy questions, the statistical questions, and the successful and the unsuccessful analytic strategies. Readers should be familiar with basic statistical concepts including sampling and regression. While designed for statistics courses in areas ranging from economics to health policy to the law at both the advanced undergraduate and graduate levels, empirical researchers and policy-makers will also find this casebook informative.
In September 2002, RAND contracted with the U.S. Agency for
Healthcare Research and Quality to serve as the evaluation center
for its national patient safety initiative. This report assesses
the context and goals that were the foundation for the initiative,
documents the baseline status of the activities being undertaken,
and identifies priorities the researchers believe will have the
strongest positive impact on the future of AHRQ's patient safety
initiative.
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