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10.1186/s12915-017-0357-7 http://scihub22266oqcxt.onion/10.1186/s12915-017-0357-7 C5336618!5336618!28257642     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMC+Biol 2017 ; 15 (ä): ä Nephropedia Template TP {{tp|p=28257642|t=2017. Meta-evaluation of meta-analysis: ten appraisal questions for biologists |pdf=|usr=}}{{28257642}} gab.com Text Meta-evaluation of meta-analysis: ten appraisal questions for biologists JO: BMC Biol http://www.kidney.de/pget.php?&tw=1&pmid=28257642 #FOAvip Meta-analysis is a statistical procedure for analyzing the combined data from different studies, and can be a major source of concise up-to-date information. The overall conclusions of a meta-analysis, however, depend heavily on the quality of the meta-analytic process, and an appropriate evaluation of the quality of meta-analysis (meta-evaluation) can be challenging. We outline ten questions biologists can ask to critically appraise a meta-analysis. These questions could also act as simple and accessible guidelines for the authors of meta-analyses. We focus on meta-analyses using non-human species, which we term ?biological? meta-analysis. Our ten questions are aimed at enabling a biologist to evaluate whether a biological meta-analysis embodies ?mega-enlightenment?, a ?mega-mistake?, or something in between. Twit Text FOAVip Meta-evaluation of meta-analysis: ten appraisal questions for biologists ????BMC Biol http://www.kidney.de/pget.php?&tw=1&pmid=28257642 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28257642 #FOAvip English Wikipedia <ref>{{Cite pmid|28257642}}</ref> Meta-evaluation of meta-analysis: ten appraisal questions for biologists #MMPMID28257642 Nakagawa S; Noble DWA; Senior AM; Lagisz M BMC Biol 2017[]; 15 (ä): ä PMID28257642show ga Meta-analysis is a statistical procedure for analyzing the combined data from different studies, and can be a major source of concise up-to-date information. The overall conclusions of a meta-analysis, however, depend heavily on the quality of the meta-analytic process, and an appropriate evaluation of the quality of meta-analysis (meta-evaluation) can be challenging. We outline ten questions biologists can ask to critically appraise a meta-analysis. These questions could also act as simple and accessible guidelines for the authors of meta-analyses. We focus on meta-analyses using non-human species, which we term ?biological? meta-analysis. Our ten questions are aimed at enabling a biologist to evaluate whether a biological meta-analysis embodies ?mega-enlightenment?, a ?mega-mistake?, or something in between. äMeta-evaluation of meta-analysis: ten appraisal questions for biologis(epmc).pdf DeepDyve Pubget Overpricing