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Trellis and related plots are frequent in the statistical literature, e.g., for testing and adjusting methods for publication bias [ 4– 10] and meta-analysis in general [ 11– 13].
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Methods for assessing publication bias, and tools for combining dose-response data, are discussed also.
Testing for heterogeneity in bivariate and multivariate meta-analysis is a new but rapidly developing field; bivariate methods for exploring publication bias have not yet been developed, thus necessitating use of univariate tests.
RQ2: What are the most common methods of publication for the papers?
RQ2 asked "What are the most common methods of publication for the papers?" The majority of papers were published in conferences with the evolutionary computation conference GECCO publishing the most papers at seven.
There are two methods for adding publications to the site.
Papers reporting on these activities, the assessment of the usefulness of various qualitative methods for these purposes, and improvements in qualitative methods are considered for publication by JPRO.
Two methods to test for publication bias, a common problem in meta-analysis, suggested that whilst the presence of unpublished small-size studies is probable, it is not likely that this would significantly bias the overall chilling effect estimated in this study.
The popular funnel-plot-based methods to test for publication bias in meta-analysis are inappropriate and potentially misleading when the number of included studies is small and heterogeneity is large [25], [26].
In this paper we have compared some novel and existing methods for adjusting for publication bias through an extensive simulation study.
In December 2003, a protocol for the meta-analysis, describing the study rationale, statistical methods, and guidelines for publication, was distributed to the principal investigators of the five trials.
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