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It seems appealing to say, oh, just have the Major Social Media Companies take a hard line approach to anything having to do with isis. But the fact is, that will end up blocking a lot of speech. Woodruff all that and more, on tonights pbs newshour. Major funding for the pbs newshour has been provided by love me tender love me true we can like many, but we can love only a precious few. Because it is for those precious few that you have to be willingi to do so very much. But you dont have to do itu alone. Lincoln financial helps you provide for and protect your financial future, because this, is what you do for people you love. Lincoln financial youre in charge. Bnsf railway. Xq institute. Supporting social entrepreneurs and their solutions to the worlds most pressing problems skollfoundation. Org. Supported by the john d. And catherine t. Macarthur foundation. Committed to building a moreit just, verdant and peaceful world. More information at macfound. Org and with the ongoing support
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Various methods are available to help users assess whether selective non-publication of studies or selective non-reporting of study results has occurred, but not its impact on a meta-analysis. This limitation of existing methods leaves users to decide their own approach for judging the risk of bias in a meta-analysis result. In this paper, Page and colleagues describe the ROB-ME (risk of bias due to missing evidence) tool, a structured approach for assessing the risk of bias that arises when entire studies, or particular results within studies, are missing from a meta-analysis because of the P value, magnitude, or direction of the study results. The tool is anticipated to help authors and users of systematic reviews identify meta-analyses at high risk of bias and interpret results appropriately.
A key feature of systematic reviews of quantitative research is the attempt to identify all studies that meet the review inclusion criteria and to include relevant data from all such studies i