Bayesian designs for phase I-II clinical trials / Ying Yuan, Hoang Q. Nguyen, Peter F. Thall.
Reliably optimizing a new treatment in humans is a critical first step in clinical evaluation since choosing a suboptimal dose or schedule may lead to failure in later trials. At the same time, if promising preclinical results do not translate into a real treatment advance, it is important to determ...
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Full Text (via Taylor & Francis) |
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| Main Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton :
Chapman & Hall/CRC,
2016.
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| Edition: | 1st. |
| Series: | Chapman & Hall/CRC biostatistics series.
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| Subjects: |
Table of Contents:
- Outcomes ; A Common Logistical Problem; Late-Onset Events as Missing Data; Probability Model; Imputation of Delayed Outcomes; Illustration Utility-Based Designs ; Assigning Utilities to Outcomes; Subjectivity of Utilities; Utility-Based Sequential Decision Making; Optimizing Radiation Dose for Brain Tumors Personalized Dose Finding ; The EffTox Design with Covariates; Biomarker-Based Dose Finding Combination Trials ; Bivariate Binary Outcomes; Bivariate Ordinal Outcomes Optimizing Molecularly Targeted Agents ; Features of Targeted Agents; One Targeted Agent; Combining Targeted and Cytotoxic Agents; Combining Two Molecularly Targeted Agents Optimizing Doses in Two Cycles ; The Two-Cycle Problem; A Two-Cycle Model; Decision Criteria; Illustration; Simulation Study Optimizing Dose and Schedule.
- ; Schedule Dependent Effects; Trinary Outcomes; Event Times Outcomes Dealing with Dropouts ; Dropouts and Missing Efficacy; Probability Model; Dose-Finding Algorithm; Simulations Optimizing Intra-Arterial tPA ; Rapid Treatment of Stroke; Probability Model; Decision Criteria and Trial Conduct; Priors; Simulations Optimizing Sedative Dose in Preterm Infants ; Respiratory Distress Syndrome in Neonates; Clinical Outcomes and Probability Model; Prior and Likelihood; Decision Criteria; Simulations Bibliography.