9781466511965-1466511966-Methods in Comparative Effectiveness Research (Chapman & Hall/CRC Biostatistics Series)

Methods in Comparative Effectiveness Research (Chapman & Hall/CRC Biostatistics Series)

ISBN-13: 9781466511965
ISBN-10: 1466511966
Edition: 1
Author: Constantine Gatsonis, Sally C. Morton
Publication date: 2017
Publisher: Chapman and Hall/CRC
Format: Hardcover 574 pages
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Book details

ISBN-13: 9781466511965
ISBN-10: 1466511966
Edition: 1
Author: Constantine Gatsonis, Sally C. Morton
Publication date: 2017
Publisher: Chapman and Hall/CRC
Format: Hardcover 574 pages

Summary

Methods in Comparative Effectiveness Research (Chapman & Hall/CRC Biostatistics Series) (ISBN-13: 9781466511965 and ISBN-10: 1466511966), written by authors Constantine Gatsonis, Sally C. Morton, was published by Chapman and Hall/CRC in 2017. With an overall rating of 3.9 stars, it's a notable title among other Applied (Mathematics) books. You can easily purchase or rent Methods in Comparative Effectiveness Research (Chapman & Hall/CRC Biostatistics Series) (Hardcover) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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.

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