Design and analysis of group-randomized trials: a review of recent methodological developments.
By D. Murray, Sherri P. Varnell, Jonathan L. Blitstein. American Journal of Public Health, 2004
664 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/f7fc078843417d58a44e6fb833dd7a4f5e4dc6f2
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Citations in the corpus
- An Overview of Research and Evaluation Designs for Dissemination and Implementation (2017, background): “, practices or organizations) as well as individuals, as the statistical power of such designs is most strongly influenced by the number units at the highest level (75, 77).”
- The Power of the Test for Treatment Effects in Three-Level Cluster Randomized Designs (2008, background): “For example, Murray and Blitstein (2003) and Murray, Varnell, and Blitstein (2004) reported intraclass correlations obtained from recent cluster randomized trials in psychology and public health.”
- Correcting a Significance Test for Clustering (2007, background): “(2000), Klar and Donner (2001), Murray (1998), or Murray, Varnell, & Blitstein (2004) .”
- Effect Sizes in Cluster-Randomized Designs (2007, background): “…Blitstein (2003) reported a summary of intraclass correlations obtained from 17 articles reporting cluster-randomized trials in psychology and public health, and Murray et al. (2004) gave references to 14 very recent studies that provide data on intraclass correlations for health-related outcomes.”
- Reducing obesity and related chronic disease risk in children and youth: a synthesis of evidence with ‘best practice’ recommendations (2006, background): “This can contribute to inflation of the measures of association (326).”
- Intraclass Correlation Values for Planning Group-Randomized Trials in Education (2007, background): “For general discussions of the design and analyses of cluster-randomized experiments, see Murray (1998); Bloom, Bos, and Lee (1999); Donner and Klar (2000); Klar and Donner (2001); Raudenbush and Bryk (2002); Murray, Varnell, and Blitstein (2004); or Bloom (2005).”
- Why Small Is Better: Advancing the Study of the Role of Behavioral Contexts in Crime Causation (2009, background): “However, generally and within certain limits, more statistical power is gained by choosing more areas with fewer respondents rather than fewer areas with more respondents ( Murrey et al. 2004, p. 424; Snijders and Bosker 1999, p. 152).”