Methods in comparative effectiveness research 1st Edition by Constantine Gatsonis, Sally Morton – Ebook PDF Instant Download/Delivery: 9781466511965, 1466511966
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Product details:
ISBN 10: 1466511966
ISBN 13: 9781466511965
Author: Constantine Gatsonis, Sally C. Morton
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.
Table of contents:
Section I: Causal Inference Methods
1. An Overview of Statistical Approaches for Comparative Effectiveness Research
2. Instrumental Variables Methods
3. Observational Studies Analyzed Like Randomized Trials and Vice Versa
Section II: Clinical Trials: Design, Interpretation, and Generalizability
4. Cluster-Randomized Trials
5. Bayesian Adaptive Designs
6. Generalizability of Clinical Trials Results
7. Combining Information from Multiple Data Sources: An Introduction to Cross-Design Synthesis with
8. Heterogeneity of Treatment Effects
9. Challenges in Establishing a Hierarchy of Evidence
Section III: Research Synthesis
10. Systematic Reviews with Study-Level and Individual Patient-Level Data
11. Network Meta-Analysis
12. Bayesian Network Meta-Analysis for Multiple Endpoints
13. Mathematical Modeling
Section IV: Special Topics
14. On the Use of Electronic Health Records
15. Evaluating Personalized Treatment Regimes
16. Early Detection of Diseases
17. Evaluating Tests for Diagnosis and Prediction
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Tags: Constantine Gatsonis, Sally Morton, Methods, comparative