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Model-Assisted Bayesian Designs for Dose Finding and Optimization 1st Edition 2022 Hardbound at Meripustak

Model-Assisted Bayesian Designs for Dose Finding and Optimization 1st Edition 2022 Hardbound by Yuan, Ying, Taylor and Francis Ltd

Books from same Author: Yuan, Ying

Books from same Publisher: Taylor and Francis Ltd

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  • General Information  
    Author(s)Yuan, Ying
    PublisherTaylor and Francis Ltd
    Edition1st Edition
    ISBN9780367146245
    Pages220
    BindingHardbound
    LanguageEnglish
    Publish YearOctober 2022

    Description

    Taylor and Francis Ltd Model-Assisted Bayesian Designs for Dose Finding and Optimization 1st Edition 2022 Hardbound by Yuan, Ying

    FeaturesRepresents the first book to provide comprehensive coverage of model-assisted designs for various types of dose-finding and optimization clinical trialsDescribes the up-to-date theory and practice for model-assisted designsPresents many practical challenges and issues arising from early-phase clinical trialsIllustrates with many real trial applicationsOffers numerous tips and guidance on designing dose finding and optimization trialsProvides step-by-step illustration of using software to design trialsDevelops a companion website (www.trialdesign.org) to provide easy-to-use software to assist learning and implementing model-assisted designs. 1. Bayesian Statistics and Adaptive Designs. 1.1. Basics of Bayesian Statistics. 1.2. Bayesian Adaptive Designs. 1.2. Bayesian Adaptive Designs. 2. Algorithm and Model-Based Dose Finding Designs. 2.1 Introduction. 2.2. Traditional 3+3 Design. 2.3. Cohort Expansion. 2.4 Accelerated Titration Design. 2.5. Continual Reassessment Method. 2.6. Bayesian Model Averaging CRM. 2.7. Escalation with Overdose Control. 2.8. Bayesian Logistic Regression Method. 2.9. Software. 3. Model-Assisted Dose Finding Designs. 3.1. Introduction. 3.2. Modified Toxicity Probability Interval Design. 3.3. Keyboard Design. 3.4. 3.4 Bayesian Optimal Interval (BOIN) Design. 3.5. Operating Characteristics. 3.6. Software and Case Study. 4. Drug-Combination Trials. 4.1. Introduction. 4.2. Model-based Designs. 4.3. Model-assisted Designs. 4.4. Operating Characteristics. 4.5. Software and Case Study. 5. Late-Onset Toxicity. 5.1. A Common Logistical Problem. 5.2. Late-Onset Toxicities. 5.3. TITE-CRM. 5.4. TITE-BOIN. 5.5. A Unified Approach using "Effective" Data. 5.6. TITE-keyboard and TITE-mTPI designs. 5.7. Software and Case Study. 6. Incorporating Historical Data. 6.1. Historical Data and Prior Information. 6.2. Informative BOIN (iBOIN). 6.3. iKeyboard Design. 6.4. Operating Characteristics. 6.5. Software and Case Study. 7. Multiple Toxicity Grades. 7.1. Multiple Toxicity Grades. 7.2. gBOIN Accounting for Toxicity Grade. 7.3. Multiple-toxicity BOIN. 7.4. Software and Illustration. 8. Finding Optimal Biological Dose. 8.1. Introduction. 8.2. EffTox design. 8.3. U-BOIN Design. 8.4. BOIN12 Design. 8.5. TITE-BOIN12 Design. 8.6. Other Model-Assisted Phase I/II Designs. 8.7. Software and Case Study. Bibliography. Index.



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