LEADER 01655nam0 22003733i 450 001 VAN00279173 005 20250127043655.180 017 70$2N$a9789811981760 100 $a20240704d2023 |0itac50 ba 101 $aeng 102 $aSG 105 $a|||| ||||| 200 1 $aBayesian Adaptive Design for Immunotherapy and Targeted Therapy$fHaitao Pan, Ying Yuan 210 $aSingapore$cSpringer$d2023 215 $axi, 262 p.$cill.$d24 cm 606 $a62P10$xApplications of statistics to biology and medical sciences; meta analysis [MSC 2020]$3VANC024649$2MF 606 $a92-XX$xBiology and other natural sciences [MSC 2020]$3VANC020839$2MF 610 $aAdaptive clinical trial design$9KW:K 610 $aDelayed outcomes$9KW:K 610 $aLate-onset outcomes$9KW:K 610 $aMarkov chain Monte Carlo methods$9KW:K 610 $aMissing data analysis$9KW:K 620 $aSG$dSingapore$3VANL000061 700 1$aPan$bHaitao$3VANV231718$01354686 701 1$aYuan$bYing$3VANV231719$0671774 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20250131$gRICA 856 4 $uhttps://doi.org/10.1007/978-981-19-8176-0$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN00279173 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-Book 9304 $e08eMF9304 20240708 996 $aBayesian Adaptive Design for Immunotherapy and Targeted Therapy$94208974 997 $aUNICAMPANIA