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10.11919/j.issn.1002-0829.216084 http://scihub22266oqcxt.onion/10.11919/j.issn.1002-0829.216084 C5434296!5434296!28638214     free     free     free       Shanghai+Arch+Psychiatry ä ; 28 (6): 355-60 Nephropedia Template TP {{tp|p=28638214|t=ä. Two Paradoxes in Linear Regression Analysis |pdf=|usr=}}{{28638214}} gab.com Text Two Paradoxes in Linear Regression Analysis JO: Shanghai Arch Psychiatry http://www.kidney.de/pget.php?&tw=1&pmid=28638214 #FOAvip Regression is one of the favorite tools in applied statistics. However, misuse and misinterpretation of results from regression analysis are common in biomedical research. In this paper we use statistical theory and simulation studies to clarify some paradoxes around this popular statistical method. In particular, we show that a widely used model selection procedure employed in many publications in top medical journals is wrong. Formal procedures based on solid statistical theory should be used in model selection. Twit Text FOAVip Two Paradoxes in Linear Regression Analysis ????Shanghai Arch Psychiatry http://www.kidney.de/pget.php?&tw=1&pmid=28638214 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28638214 #FOAvip English Wikipedia <ref>{{Cite pmid|28638214}}</ref> Two Paradoxes in Linear Regression Analysis #MMPMID28638214 FENG G; PENG J; TU D; ZHENG JZ; FENG C Shanghai Arch Psychiatry ä[]; 28 (6): 355-60 PMID28638214show ga Regression is one of the favorite tools in applied statistics. However, misuse and misinterpretation of results from regression analysis are common in biomedical research. In this paper we use statistical theory and simulation studies to clarify some paradoxes around this popular statistical method. In particular, we show that a widely used model selection procedure employed in many publications in top medical journals is wrong. Formal procedures based on solid statistical theory should be used in model selection. äTwo Paradoxes in Linear Regression Analysis (epmc).pdf DeepDyve Pubget Overpricing