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published studies. The literature shows strong publication bias: researchers report negative and insignificant estimates less … often than they should, which pulls the mean estimate up by about 0.5. When I correct the mean for the bias, for macro …
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the potential threats of data-mining and publication bias. We propose extended meta-regression models and evaluate their … presence of publication bias, but data-mining bias leads to seriously inflated type I errors and has to be addressed explicitly. …
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consider two types of publication bias: publication bias directed against statistically insignificant estimates, and … publication bias directed against wrong-signed estimates. Finally, the authors consider three cases concerning the distribution of …
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