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10.1016/j.cct.2014.09.005 http://scihub22266oqcxt.onion/10.1016/j.cct.2014.09.005 C4254362!4254362 !25308312     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 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\25308312 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Contemp+Clin+Trials 2014 ; 39 (2 ): 294-302 Nephropedia Template TP {{tp|p=25308312 |t=2014. Formulating appropriate statistical hypotheses for treatment comparison in clinical trial design and analysis |pdf=|usr=}}{{25308312 }} gab.com Text Formulating appropriate statistical hypotheses for treatment comparison in clinical trial design and analysis JO: Contemp Clin Trials http://www.kidney.de/pget.php?&tw=1&pmid=25308312 #FOAvip We discuss the problem of properly defining treatment superiority through the specification of hypotheses in clinical trials. The need to precisely define the notion of superiority in a one-sided hypothesis test problem has been well recognized by many authors. Ideally designed null and alternative hypotheses should correspond to a partition of all possible scenarios of underlying true probability models P={P(?):???} such that the alternative hypothesis Ha={P(?):???a} can be inferred upon the rejection of null hypothesis Ho={P(?):???(o)} However, in many cases, tests are carried out and recommendations are made without a precise definition of superiority or a specification of alternative hypothesis. Moreover, in some applications, the union of probability models specified by the chosen null and alternative hypothesis does not constitute a completed model collection P (i.e., H(o)?H(a) is smaller than P). This not only imposes a strong non-validated assumption of the underlying true models, but also leads to different superiority claims depending on which test is used instead of scientific plausibility. Different ways to partition P fro testing treatment superiority often have different implications on sample size, power, and significance in both efficacy and comparative effectiveness trial design. Such differences are often overlooked. We provide a theoretical framework for evaluating the statistical properties of different specification of superiority in typical hypothesis testing. This can help investigators to select proper hypotheses for treatment comparison inclinical trial design. Twit Text FOAVip Formulating appropriate statistical hypotheses for treatment comparison in clinical trial design and analysis ????Contemp Clin Trials http://www.kidney.de/pget.php?&tw=1&pmid=25308312 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25308312 #FOAvip English Wikipedia <ref>{{Cite pmid|25308312 }}</ref> Formulating appropriate statistical hypotheses for treatment comparison in clinical trial design and analysis #MMPMID25308312 Huang P ; Ou AH ; Piantadosi S ; Tan M Contemp Clin Trials 2014[Nov]; 39 (2 ): 294-302 PMID25308312 show ga We discuss the problem of properly defining treatment superiority through the specification of hypotheses in clinical trials. The need to precisely define the notion of superiority in a one-sided hypothesis test problem has been well recognized by many authors. Ideally designed null and alternative hypotheses should correspond to a partition of all possible scenarios of underlying true probability models P={P(?):???} such that the alternative hypothesis Ha={P(?):???a} can be inferred upon the rejection of null hypothesis Ho={P(?):???(o)} However, in many cases, tests are carried out and recommendations are made without a precise definition of superiority or a specification of alternative hypothesis. Moreover, in some applications, the union of probability models specified by the chosen null and alternative hypothesis does not constitute a completed model collection P (i.e., H(o)?H(a) is smaller than P). This not only imposes a strong non-validated assumption of the underlying true models, but also leads to different superiority claims depending on which test is used instead of scientific plausibility. Different ways to partition P fro testing treatment superiority often have different implications on sample size, power, and significance in both efficacy and comparative effectiveness trial design. Such differences are often overlooked. We provide a theoretical framework for evaluating the statistical properties of different specification of superiority in typical hypothesis testing. This can help investigators to select proper hypotheses for treatment comparison inclinical trial design. |*Models, Statistical [MESH] |*Research Design [MESH] |Humans [MESH] |Probability [MESH]Formulating appropriate statistical hypotheses for treatment compariso(epmc).pdf DeepDyve Pubget Overpricing