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10.1007/s00477-020-01821-0 http://scihub22266oqcxt.onion/10.1007/s00477-020-01821-0 C7265167!7265167!32837310     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Stoch+Environ+Res+Risk+Assess 2020 ; 34 (8): 1281-3 Nephropedia Template TP {{tp|p=32837310|t=2020. Undersampling in action and at scale: application to the COVID-19 pandemic |pdf=|usr=}}{{32837310}} gab.com Text Undersampling in action and at scale: application to the COVID-19 pandemic JO: Stoch Environ Res Risk Assess http://www.kidney.de/pget.php?&tw=1&pmid=32837310 #FOAvip It is the purpose of this short communication to analyze the possible caveats in the statistical interpretation of collected data, particularly in the light of decision-making concerning the current COVID-19 coronavirus pandemic. A mitigation of undersampling is proposed, based on re-scaling of statistics that can be considered reliable, such as deaths, and epidemic properties like mortality, that may be considered comparable between countries with similar levels of health care, which would not have reached a saturation level. Twit Text FOAVip Undersampling in action and at scale: application to the COVID-19 pandemic ????Stoch Environ Res Risk Assess http://www.kidney.de/pget.php?&tw=1&pmid=32837310 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32837310 #FOAvip English Wikipedia <ref>{{Cite pmid|32837310}}</ref> Undersampling in action and at scale: application to the COVID-19 pandemic #MMPMID32837310 Langousis A; Carsteanu AA Stoch Environ Res Risk Assess 2020[]; 34 (8): 1281-3 PMID32837310show ga It is the purpose of this short communication to analyze the possible caveats in the statistical interpretation of collected data, particularly in the light of decision-making concerning the current COVID-19 coronavirus pandemic. A mitigation of undersampling is proposed, based on re-scaling of statistics that can be considered reliable, such as deaths, and epidemic properties like mortality, that may be considered comparable between countries with similar levels of health care, which would not have reached a saturation level. äUndersampling in action and at scale: application to the COVID-19 pand(epmc).pdf DeepDyve Pubget Overpricing