Beschreibung:
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.
Observational studies. Data sources and design considerations for observational studies in CER. Causal inference methods in CER. Clinical trials in CER. CER considerations for clinical trials: Choice of research questions, populations, study settings, and endpoints. Approaches to randomization: cluster randomization, use of EMR. Adaptive designs, Bayesian methods. Deriving evidence for population subsets, CER and personalized medicine. Systematic reviews. General: systematic reviews with study-level and individual patient-level data. General: Strength and quality of evidence data. Network meta-analysis. Systematic reviews of diagnostic accuracy. Modeling. Decision analysis. Micro simulation methods. Cost-effectiveness analysis. Value of Information analysis. CER for diagnostic tests. Prevention studies. Early detection and surveillance studies.