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10.1111/biom.12613 http://scihub22266oqcxt.onion/10.1111/biom.12613 C5923898!5923898!27775814     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 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Biometrics 2017 ; 73 (2): 367-77 Nephropedia Template TP {{tp|p=27775814|t=2017. A Subgroup Cluster-Based Bayesian Adaptive Design for Precision Medicine |pdf=|usr=}}{{27775814}} gab.com Text A Subgroup Cluster-Based Bayesian Adaptive Design for Precision Medicine JO: Biometrics http://www.kidney.de/pget.php?&tw=1&pmid=27775814 #FOAvip In precision medicine, a patient is treated with targeted therapies that are predicted to be effective based on the patient?s baseline characteristics such as biomarker profiles. Oftentimes, patient subgroups are unknown and must be learned through inference using observed data. We present SCUBA, a Subgroup ClUster-based Bayesian Adaptive design aiming to fulfill two simultaneous goals in a clinical trial, 1) to treatments enrich the allocation of each subgroup of patients to their precision and desirable treatments and 2) to report multiple subgroup-treatment pairs (STPs). Using random partitions and semiparametric Bayesian models, SCUBA provides coherent and probabilistic assessment of potential patient subgroups and their associated targeted therapies. Each STP can then be used for future confirmatory studies for regulatory approval. Through extensive simulation studies, we present an application of SCUBA to an innovative clinical trial in gastroesphogeal cancer. Twit Text FOAVip A Subgroup Cluster-Based Bayesian Adaptive Design for Precision Medicine ????Biometrics http://www.kidney.de/pget.php?&tw=1&pmid=27775814 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27775814 #FOAvip English Wikipedia <ref>{{Cite pmid|27775814}}</ref> A Subgroup Cluster-Based Bayesian Adaptive Design for Precision Medicine #MMPMID27775814 Guo W; Ji Y; Catenacci DVT Biometrics 2017[Jun]; 73 (2): 367-77 PMID27775814show ga In precision medicine, a patient is treated with targeted therapies that are predicted to be effective based on the patient?s baseline characteristics such as biomarker profiles. Oftentimes, patient subgroups are unknown and must be learned through inference using observed data. We present SCUBA, a Subgroup ClUster-based Bayesian Adaptive design aiming to fulfill two simultaneous goals in a clinical trial, 1) to treatments enrich the allocation of each subgroup of patients to their precision and desirable treatments and 2) to report multiple subgroup-treatment pairs (STPs). Using random partitions and semiparametric Bayesian models, SCUBA provides coherent and probabilistic assessment of potential patient subgroups and their associated targeted therapies. Each STP can then be used for future confirmatory studies for regulatory approval. Through extensive simulation studies, we present an application of SCUBA to an innovative clinical trial in gastroesphogeal cancer. äA Subgroup Cluster-Based Bayesian Adaptive Design for Precision Medici(epmc).pdf DeepDyve Pubget Overpricing