MARC 主機 00000nam a2200469 i 4500 
001    978-981-19-8176-0 
003    DE-He213 
005    20230419085211.0 
006    m     o  d         
007    cr nn 008maaau 
008    230419s2023    si      s         0 eng d 
020    9789811981760|q(electronic bk.) 
020    9789811981746|q(paper) 
024 7  10.1007/978-981-19-8176-0|2doi 
040    GP|cGP|erda 
041 0  eng 
050  4 RM276 
072  7 PBT|2bicssc 
072  7 MED090000|2bisacsh 
072  7 PBT|2thema 
082 04 615.370151|223 
100 1  Pan, Haitao,|eauthor 
245 10 Bayesian adaptive design for immunotherapy and targeted 
       therapy /|cby Haitao Pan, Ying Yuan 
264  1 Singapore :|bSpringer Nature Singapore :|bImprint: 
       Springer,|c2023 
300    1 online resource (xi, 262 pages) :|billustrations (some 
       color), digital ;|c24 cm 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file|bPDF|2rda 
505 0  Introduction to Adaptive Design and Delayed Outcomes -- 
       Basics of Bayesian Statistics -- Phase I Dose-finding 
       Design -- Phase II Design for Interim Monitoring -- Phase 
       I-II Dose-finding Design -- Drug Combination Trial Design 
       -- Conclusion 
520    This book provides a comprehensive review of novel 
       adaptive trial designs for targeted therapies and 
       immunotherapies. This book covers a wide range of novel 
       statistical designs for various clinical settings, 
       including early phase dose-escalation study, proof-of-
       concept trials, and confirmatory studies with 
       registrational. The book includes real-life examples and 
       software to facilitate practitioners to learn and use the 
       designs in practice 
650  0 Immunotherapy|xStatistical methods 
650  0 Drug targeting|xStatistical methods 
650  0 Clinical trials|xDesign|xStatistical methods 
650  0 Bayesian statistical decision theory 
650 14 Biostatistics 
700 1  Yuan, Ying,|eauthor 
710 2  SpringerLink (Online service) 
773 0  |tSpringer Nature eBook 
856 40 |uhttps://doi.org/10.1007/978-981-19-8176-0 
912    Springer |b111206084615  
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