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10.1371/journal.pbio.2004299 http://scihub22266oqcxt.onion/10.1371/journal.pbio.2004299 C5933802!5933802!29684013     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+Biol 2018 ; 16 (4): ä Nephropedia Template TP {{tp|p=29684013|t=2018. How measurement science can improve confidence in research results |pdf=|usr=}}{{29684013}} gab.com Text How measurement science can improve confidence in research results JO: PLoS Biol http://www.kidney.de/pget.php?&tw=1&pmid=29684013 #FOAvip The current push for rigor and reproducibility is driven by a desire for confidence in research results. Here, we suggest a framework for a systematic process, based on consensus principles of measurement science, to guide researchers and reviewers in assessing, documenting, and mitigating the sources of uncertainty in a study. All study results have associated ambiguities that are not always clarified by simply establishing reproducibility. By explicitly considering sources of uncertainty, noting aspects of the experimental system that are difficult to characterize quantitatively, and proposing alternative interpretations, the researcher provides information that enhances comparability and reproducibility. Twit Text FOAVip How measurement science can improve confidence in research results ????PLoS Biol http://www.kidney.de/pget.php?&tw=1&pmid=29684013 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29684013 #FOAvip English Wikipedia <ref>{{Cite pmid|29684013}}</ref> How measurement science can improve confidence in research results #MMPMID29684013 Plant AL; Becker CA; Hanisch RJ; Boisvert RF; Possolo AM; Elliott JT PLoS Biol 2018[Apr]; 16 (4): ä PMID29684013show ga The current push for rigor and reproducibility is driven by a desire for confidence in research results. Here, we suggest a framework for a systematic process, based on consensus principles of measurement science, to guide researchers and reviewers in assessing, documenting, and mitigating the sources of uncertainty in a study. All study results have associated ambiguities that are not always clarified by simply establishing reproducibility. By explicitly considering sources of uncertainty, noting aspects of the experimental system that are difficult to characterize quantitatively, and proposing alternative interpretations, the researcher provides information that enhances comparability and reproducibility. äHow measurement science can improve confidence in research results (epmc).pdf DeepDyve Pubget Overpricing