Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.11613/BM.2016.015 http://scihub22266oqcxt.onion/10.11613/BM.2016.015 C4910276!4910276!27346958     free     free     free       Biochem+Med+(Zagreb) 2016 ; 26 (2): 150-63 Nephropedia Template TP {{tp|p=27346958|t=2016. Understanding the effect size and its measures |pdf=|usr=}}{{27346958}} gab.com Text Understanding the effect size and its measures JO: Biochem Med (Zagreb) http://www.kidney.de/pget.php?&tw=1&pmid=27346958 #FOAvip The evidence based medicine paradigm demands scientific reliability, but modern research seems to overlook it sometimes. The power analysis represents a way to show the meaningfulness of findings, regardless to the emphasized aspect of statistical significance. Within this statistical framework, the estimation of the effect size represents a means to show the relevance of the evidences produced through research. In this regard, this paper presents and discusses the main procedures to estimate the size of an effect with respect to the specific statistical test used for hypothesis testing. Thus, this work can be seen as an introduction and a guide for the reader interested in the use of effect size estimation for its scientific endeavour. Twit Text FOAVip Understanding the effect size and its measures ????Biochem Med (Zagreb) http://www.kidney.de/pget.php?&tw=1&pmid=27346958 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27346958 #FOAvip English Wikipedia <ref>{{Cite pmid|27346958}}</ref> Understanding the effect size and its measures #MMPMID27346958 Ialongo C Biochem Med (Zagreb) 2016[Jun]; 26 (2): 150-63 PMID27346958show ga The evidence based medicine paradigm demands scientific reliability, but modern research seems to overlook it sometimes. The power analysis represents a way to show the meaningfulness of findings, regardless to the emphasized aspect of statistical significance. Within this statistical framework, the estimation of the effect size represents a means to show the relevance of the evidences produced through research. In this regard, this paper presents and discusses the main procedures to estimate the size of an effect with respect to the specific statistical test used for hypothesis testing. Thus, this work can be seen as an introduction and a guide for the reader interested in the use of effect size estimation for its scientific endeavour. äUnderstanding the effect size and its measures (epmc).pdf DeepDyve Pubget Overpricing