Methods in Comparative Effectiveness Research

9781466511965: Methods in Comparative Effectiveness Research

The book 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. The book includes prevention and early detection, diagnosis, treatment, and post-therapy surveillance. The book is accessible to readers with a masters-level course in regression and some familiarity with clinical research, CER methodologists, quantitative trained researchers interested in CER, and graduate students in all branches of statistics, epidemiology, and health services and outcomes research.

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Contenuti:

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.

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