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      Referral Rates for Intervention or Assessment : A Meta-Analysis of Racial Differences

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      The Journal of Special Education
      SAGE Publications

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          A hypothesis-confirming bias in labeling effects.

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            Overrepresentation of Minority Students in Special Education

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              A comparison of statistical methods for combining event rates from clinical trials.

              We compare two statistical methods for combining event rates from several studies. Both methods treat each study as a separate stratum. The Peto-modified Mantel-Haenszel (Peto) method estimates a combined odds ratio assuming homogeneity across strata and provides a test for heterogeneity. The DerSimonian and Laird modified Cochran method (D&L) produces a weighted average of rate differences, where the weights allow for among-study variability. We analyse 22 meta-analyses from ten reports by both methods. The pooled estimates are divided by their standard errors to produce a Z-statistic. A t-test comparing Z-statistics from all 22 studies suggests that the D&L method tends to be more conservative [d(Peto - D&L) = 0.29, t = 2.53, p = 0.02]. For a subset of 14 non-heterogeneous studies, the difference is smaller and non-significant (d = 0.09, t = 0.72, p = 0.49). The results from the methods correlate well (r = 0.66 for all 22 studies, r = 0.95 for 14 non-heterogeneous studies). Thus, the presence of heterogeneity influences our conclusion. We discuss the statistical and scientific implications of these findings.
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                Author and article information

                Journal
                The Journal of Special Education
                J Spec Educ
                SAGE Publications
                0022-4669
                1538-4764
                August 19 2016
                August 19 2016
                : 37
                : 2
                : 67-80
                Article
                10.1177/00224669030370020201
                f42c5bdc-4059-4e1c-98d5-344cd64867b0
                © 2016

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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