Studies With Staggered Starts: Multiple Baseline Designs and Group-Randomized Trials.

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Title: Studies With Staggered Starts: Multiple Baseline Designs and Group-Randomized Trials.
Authors: Rhoda, Dale A. (AUTHOR), Murray, David M. (AUTHOR), Andridge, Rebecca R. (AUTHOR), Pennell, Michael L. (AUTHOR), Hade, Erinn M. (AUTHOR)
Source: American Journal of Public Health. Nov2011, Vol. 101 Issue 11, p2164-2169. 6p.
Subjects: Multiple baseline design, Analysis of variance, Comparative studies, Experimental design, Policy science research, Research evaluation, Research funding, Time, Statistical power analysis, Group process, Randomized controlled trials, Repeated measures design, Classification
Abstract: Objectives. Multiple baseline designs (MBDs) have been suggested as alternatives to group-randomized trials (GRT). We reviewed structural features of MBDs and considered their potential effectiveness in public health research. We also reviewed the effect of staggered starts on statistical power. Methods. We reviewed the MBD literature to identify key structural features, recent suggestions that MBDs be adopted in public health research, and the literature on power in GRTs with staggered starts. We also computed power for MBDs and GRTs. Results. The features that have contributed to the success of small MBDs in some fields are not likely to translate well to public health research. MBDs can be more powerful than GRTs under some conditions, but those conditions involve assumptions that require careful evaluation in practice. Conclusions. MBDs will often serve better as a complement of rather than as an alternative to GRTs. GRTs may employ staggered starts for logistical or ethical reasons, but this will always increase their duration and will often increase their cost. [ABSTRACT FROM AUTHOR]
Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Studies With Staggered Starts: Multiple Baseline Designs and Group-Randomized Trials.
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  Data: <searchLink fieldCode="JN" term="%22American+Journal+of+Public+Health%22">American Journal of Public Health</searchLink>. Nov2011, Vol. 101 Issue 11, p2164-2169. 6p.
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  Data: Objectives. Multiple baseline designs (MBDs) have been suggested as alternatives to group-randomized trials (GRT). We reviewed structural features of MBDs and considered their potential effectiveness in public health research. We also reviewed the effect of staggered starts on statistical power. Methods. We reviewed the MBD literature to identify key structural features, recent suggestions that MBDs be adopted in public health research, and the literature on power in GRTs with staggered starts. We also computed power for MBDs and GRTs. Results. The features that have contributed to the success of small MBDs in some fields are not likely to translate well to public health research. MBDs can be more powerful than GRTs under some conditions, but those conditions involve assumptions that require careful evaluation in practice. Conclusions. MBDs will often serve better as a complement of rather than as an alternative to GRTs. GRTs may employ staggered starts for logistical or ethical reasons, but this will always increase their duration and will often increase their cost. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of American Journal of Public Health is the property of American Public Health Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.2105/AJPH.2011.300264
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        Text: English
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      – SubjectFull: Multiple baseline design
        Type: general
      – SubjectFull: Analysis of variance
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      – SubjectFull: Comparative studies
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      – SubjectFull: Experimental design
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      – SubjectFull: Policy science research
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      – SubjectFull: Research evaluation
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      – SubjectFull: Research funding
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      – SubjectFull: Time
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      – SubjectFull: Statistical power analysis
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      – SubjectFull: Group process
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      – SubjectFull: Randomized controlled trials
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      – SubjectFull: Repeated measures design
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      – SubjectFull: Classification
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              Text: Nov2011
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