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10.1080/19466315.2016.1174147 http://scihub22266oqcxt.onion/10.1080/19466315.2016.1174147 C5619878/?report=reader!5619878!28966721     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       Stat+Biopharm+Res 2017 ; 9 (1): 25-34 Nephropedia Template TP {{tp|p=28966721|t=2017. Single-Arm Phase II Survival Trial Design Under the Proportional Hazards Model |pdf=|usr=}}{{28966721}} gab.com Text Single-Arm Phase II Survival Trial Design Under the Proportional Hazards Model JO: Stat Biopharm Res http://www.kidney.de/pget.php?&tw=1&pmid=28966721 #FOAvip For designing single-arm phase II trials with time-to-event endpoints, a sample size formula is derived for the modified one-sample log-rank test under the proportional hazards model. The derived formula enables new methods for designing trials that allow a flexible choice of the underlying survival distribution. Simulation results showed that the proposed formula provides an accurate estimation of sample size. The sample size calculation has been implemented in an R function for the purpose of trial design. Twit Text FOAVip Single-Arm Phase II Survival Trial Design Under the Proportional Hazards Model ????Stat Biopharm Res http://www.kidney.de/pget.php?&tw=1&pmid=28966721 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28966721 #FOAvip English Wikipedia <ref>{{Cite pmid|28966721}}</ref> Single-Arm Phase II Survival Trial Design Under the Proportional Hazards Model #MMPMID28966721 Wu J Stat Biopharm Res 2017[]; 9 (1): 25-34 PMID28966721show ga For designing single-arm phase II trials with time-to-event endpoints, a sample size formula is derived for the modified one-sample log-rank test under the proportional hazards model. The derived formula enables new methods for designing trials that allow a flexible choice of the underlying survival distribution. Simulation results showed that the proposed formula provides an accurate estimation of sample size. The sample size calculation has been implemented in an R function for the purpose of trial design. äSingle-Arm Phase II Survival Trial Design Under the Proportional Hazar(epmc).pdf DeepDyve Pubget Overpricing