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The Resource Power Analysis of Trials with Multilevel Data

Power Analysis of Trials with Multilevel Data

Label
Power Analysis of Trials with Multilevel Data
Title
Power Analysis of Trials with Multilevel Data
Creator
Contributor
Subject
Language
eng
Summary
Power Analysis of Trials with Multilevel Data covers using power and sample size calculations to design trials that involve nested data structures. The book gives a thorough overview of power analysis that details terminology and notation, outlines key concepts of statistical power and power analysis, and explains why they are necessary in trial design. It guides you in performing power calculations with hierarchical data, which enables more effective trial design. The authors are leading experts in the field who recognize that power analysis has attracted attention from applied statisticians in social, behavioral, medical, and health science. Their book supplies formulae that allow statisticians and researchers in these fields to perform calculations that enable them to plan cost-efficient trials. The formulae can also be applied to other sciences. Using power analysis in trial design is increasingly important in a scientific community where experimentation is often expensive, competition for funding among researchers is intense, and agencies that finance research require proposals to give thorough justification for funding. This handbook shows how power analysis shapes trial designs that have high statistical power and low cost, using real-life examples. The book covers multiple types of trials, including cluster randomized trials, multisite trials, individually randomized group treatment trials, and longitudinal intervention studies. It also offers insight on choosing which trial is best suited to a given project. Power Analysis of Trials with Multilevel Data helps you craft an optimal research design and anticipate the necessary sample size of data to collect to give your research maximum effectiveness and efficiency
Member of
Cataloging source
MiAaPQ
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Chapman & Hall/CRC Interdisciplinary Statistics
Power Analysis of Trials with Multilevel Data
Label
Power Analysis of Trials with Multilevel Data
Link
http://libproxy.rpi.edu/login?url=https://ebookcentral.proquest.com/lib/rpi/detail.action?docID=2089311
Publication
Copyright
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Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Cover -- Contents -- List of Figures -- List of Tables -- Preface -- Chapter 1: Introduction -- Chapter 2: Multilevel Statistical Models -- Chapter 3: Concepts of Statistical Power Analysis -- Chapter 4: Cluster Randomized Trials -- Chapter 5: Improving Statistical Power in Cluster Randomized Trials -- Chapter 6: Multisite Trials -- Chapter 7: Pseudo Cluster Randomized Trials -- Chapter 8: Individually Randomized Group Treatment Trials -- Chapter 9: Longitudinal Intervention Studies -- Chapter 10: Extensions: Three Levels of Nesting and Factorial Designs -- Chapter 11: The Problem of Unknown Intraclass Correlation Coe cients -- Chapter 12: Computer Software for Power Calculations -- References -- Back Cover
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9781498729901&userID=ebsco-test&password=ebsco-test
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b3794553'}
Edition
1st ed.
Extent
1 online resource (275 pages)
Form of item
online
Isbn
9781498729901
Media category
computer
Media MARC source
rdamedia
Media type code
c
Sound
unknown sound
Specific material designation
remote

Library Locations

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      110 8th St, Troy, NY, 12180, US
      42.729766 -73.682577
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