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10.1080/00031305.2014.940467 http://scihub22266oqcxt.onion/10.1080/00031305.2014.940467 C4302277!4302277 !25620804     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 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\25620804 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Am+Stat 2014 ; 68 (4 ): 271-276 Nephropedia Template TP {{tp|p=25620804 |t=2014. A Paradoxical Result in Estimating Regression Coefficients |pdf=|usr=}}{{25620804 }} gab.com Text A Paradoxical Result in Estimating Regression Coefficients JO: Am Stat http://www.kidney.de/pget.php?&tw=1&pmid=25620804 #FOAvip This paper presents a counterintuitive result regarding the estimation of a regression slope co-efficient. Paradoxically, the precision of the slope estimator can deteriorate when additional information is used to estimate its value. In a randomized experiment, the distribution of baseline variables should be identical across treatments due to randomization. The motivation for this paper came from noting that the precision of slope estimators deteriorated when pooling baseline predictors across treatment groups. Twit Text FOAVip A Paradoxical Result in Estimating Regression Coefficients ????Am Stat http://www.kidney.de/pget.php?&tw=1&pmid=25620804 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25620804 #FOAvip English Wikipedia <ref>{{Cite pmid|25620804 }}</ref> A Paradoxical Result in Estimating Regression Coefficients #MMPMID25620804 Tarpey T ; Ogden RT ; Petkova E ; Christensen R Am Stat 2014[Oct]; 68 (4 ): 271-276 PMID25620804 show ga This paper presents a counterintuitive result regarding the estimation of a regression slope co-efficient. Paradoxically, the precision of the slope estimator can deteriorate when additional information is used to estimate its value. In a randomized experiment, the distribution of baseline variables should be identical across treatments due to randomization. The motivation for this paper came from noting that the precision of slope estimators deteriorated when pooling baseline predictors across treatment groups. äA Paradoxical Result in Estimating Regression Coefficients (epmc).pdf DeepDyve Pubget Overpricing