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10.1186/s40064-016-2210-9 http://scihub22266oqcxt.onion/10.1186/s40064-016-2210-9 C4870550!4870550 !27330915     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=27330915 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\27330915 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Springerplus 2016 ; 5 (ä): 649 Nephropedia Template TP {{tp|p=27330915 |t=2016. Bayesian test for hazard ratio in survival analysis |pdf=|usr=}}{{27330915 }} gab.com Text Bayesian test for hazard ratio in survival analysis JO: Springerplus http://www.kidney.de/pget.php?&tw=1&pmid=27330915 #FOAvip Over the decades, testing for equivalence of hazard functions has received a wide attention in survival analysis. In this paper, we proposed a Bayesian test to address this testing equivalence problem, Most of all, proposed test is methodologically flexible so that a procedure determining weights is not required when the proportional assumption is violated. In comparison with popularly exploited methods, the proposed test is shown to be more powerful and robust in testing differences of hazard functions, in spite of the presence of crossing hazard functions. Extensive applications to simulation and real data were conducted, demonstrating that the proposed test presents outstanding performance and hold desirable properties in terms of numerical aspects. Twit Text FOAVip Bayesian test for hazard ratio in survival analysis ????Springerplus http://www.kidney.de/pget.php?&tw=1&pmid=27330915 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27330915 #FOAvip English Wikipedia <ref>{{Cite pmid|27330915 }}</ref> Bayesian test for hazard ratio in survival analysis #MMPMID27330915 Kim G ; Lee SW Springerplus 2016[]; 5 (ä): 649 PMID27330915 show ga Over the decades, testing for equivalence of hazard functions has received a wide attention in survival analysis. In this paper, we proposed a Bayesian test to address this testing equivalence problem, Most of all, proposed test is methodologically flexible so that a procedure determining weights is not required when the proportional assumption is violated. In comparison with popularly exploited methods, the proposed test is shown to be more powerful and robust in testing differences of hazard functions, in spite of the presence of crossing hazard functions. Extensive applications to simulation and real data were conducted, demonstrating that the proposed test presents outstanding performance and hold desirable properties in terms of numerical aspects. äBayesian test for hazard ratio in survival analysis (epmc).pdf DeepDyve Pubget Overpricing