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10.1002/pst.1756 http://scihub22266oqcxt.onion/10.1002/pst.1756 C5468795!5468795 !27307025     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 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\27307025 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Pharm+Stat 2016 ; 15 (5 ): 405-11 Nephropedia Template TP {{tp|p=27307025 |t=2016. Survival trial design and monitoring using historical controls |pdf=|usr=}}{{27307025 }} gab.com Text Survival trial design and monitoring using historical controls JO: Pharm Stat http://www.kidney.de/pget.php?&tw=1&pmid=27307025 #FOAvip In this paper, we propose a multistage group sequential procedure to design survival trials using historical controls. The formula for the number of events required for historical control trial designs is derived. Furthermore, a transformed information time is proposed for trial monitoring. An example is given to illustrate the application of the proposed methods to survival trial designs using historical controls. Copyright © 2016 John Wiley & Sons, Ltd. Twit Text FOAVip Survival trial design and monitoring using historical controls ????Pharm Stat http://www.kidney.de/pget.php?&tw=1&pmid=27307025 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27307025 #FOAvip English Wikipedia <ref>{{Cite pmid|27307025 }}</ref> Survival trial design and monitoring using historical controls #MMPMID27307025 Wu J ; Xiong X Pharm Stat 2016[Sep]; 15 (5 ): 405-11 PMID27307025 show ga In this paper, we propose a multistage group sequential procedure to design survival trials using historical controls. The formula for the number of events required for historical control trial designs is derived. Furthermore, a transformed information time is proposed for trial monitoring. An example is given to illustrate the application of the proposed methods to survival trial designs using historical controls. Copyright © 2016 John Wiley & Sons, Ltd. |Double-Blind Method [MESH] |Humans [MESH] |Liver Cirrhosis, Biliary/*drug therapy/*mortality [MESH] |Models, Statistical [MESH] |Penicillamine/*therapeutic use [MESH] |Randomized Controlled Trials as Topic/methods/*statistics & numerical data [MESH] |Research Design/*statistics & numerical data [MESH] |Sample Size [MESH]Survival trial design and monitoring using historical controls (epmc).pdf DeepDyve Pubget Overpricing