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10.21037/jtd.2017.05.34 http://scihub22266oqcxt.onion/10.21037/jtd.2017.05.34 C5506159!5506159 !28740688     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28740688 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 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 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\28740688 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       J+Thorac+Dis 2017 ; 9 (6 ): 1725-1729 Nephropedia Template TP {{tp|p=28740688 |t=2017. A general introduction to adjustment for multiple comparisons |pdf=|usr=}}{{28740688 }} gab.com Text A general introduction to adjustment for multiple comparisons JO: J Thorac Dis http://www.kidney.de/pget.php?&tw=1&pmid=28740688 #FOAvip In experimental research a scientific conclusion is always drawn from the statistical testing of hypothesis, in which an acceptable cutoff of probability, such as 0.05 or 0.01, is used for decision-making. However, the probability of committing false statistical inferences would considerably increase when more than one hypothesis is simultaneously tested (namely the multiple comparisons), which therefore requires proper adjustment. Although the adjustment for multiple comparisons is proposed to be mandatory in some journals, it still remains difficult to select a proper method suitable for the various experimental properties and study purposes, especially for researchers without good background in statistics. In the present paper, we provide a brief review on mathematical framework, general concepts and common methods of adjustment for multiple comparisons, which is expected to facilitate the understanding and selection of adjustment methods. Twit Text FOAVip A general introduction to adjustment for multiple comparisons ????J Thorac Dis http://www.kidney.de/pget.php?&tw=1&pmid=28740688 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28740688 #FOAvip English Wikipedia <ref>{{Cite pmid|28740688 }}</ref> A general introduction to adjustment for multiple comparisons #MMPMID28740688 Chen SY ; Feng Z ; Yi X J Thorac Dis 2017[Jun]; 9 (6 ): 1725-1729 PMID28740688 show ga In experimental research a scientific conclusion is always drawn from the statistical testing of hypothesis, in which an acceptable cutoff of probability, such as 0.05 or 0.01, is used for decision-making. However, the probability of committing false statistical inferences would considerably increase when more than one hypothesis is simultaneously tested (namely the multiple comparisons), which therefore requires proper adjustment. Although the adjustment for multiple comparisons is proposed to be mandatory in some journals, it still remains difficult to select a proper method suitable for the various experimental properties and study purposes, especially for researchers without good background in statistics. In the present paper, we provide a brief review on mathematical framework, general concepts and common methods of adjustment for multiple comparisons, which is expected to facilitate the understanding and selection of adjustment methods. äA general introduction to adjustment for multiple comparisons (epmc).pdf DeepDyve Pubget Overpricing