Bayesian analysis with R for drug development : concepts, algorithms, and case studies /: concepts, algorithms, and case studies. (2019)
- Record Type:
- Book
- Title:
- Bayesian analysis with R for drug development : concepts, algorithms, and case studies /: concepts, algorithms, and case studies. (2019)
- Main Title:
- Bayesian analysis with R for drug development : concepts, algorithms, and case studies
- Further Information:
- Note: Harry Yang and Steven J. Novick.
- Authors:
- Yang, Harry
Novick, Steven J - Contents:
- ; SECTION I Background; ; 1. Bayesian Statistics in Pharmaceutical Development; Introduction; Overview of Drug Development; Basic Research; Drug Discovery; Formulation; Laboratory Test Methods; Pre-Clinical Studies; Clinical Development; Translational Research; Chemical Manufacturing and Control; Regulatory Registration; Statistics in Drug Research and Development; Bayesian Statistics; Opportunities of Bayesian Approach; Pre-Clinical Development; CMC Development; Clinical Trials; Challenges of Bayesian Approach; Objection to Bayesian; Regulatory Hurdles; Concluding Remarks ; 2. Basics of Bayesian Statistics ; Introduction; Statistical Inference; Research Questions; Probability Distribution; Frequentist Methods; Bayesian Inference; Selection of Priors; Bayesian Computation; Monte Carlo Simulation; Example; Markov Chain Monte Carlo; Computation Tools; BUGS and JAGS; SAS PROC MCMC; Utility of JAGS; Concluding Remarks ; 3. Bayesian Estimation of Sample Size and Power; Introduction; Sample Size Determination; Frequentist Methods; Bayesian Considerations; Bayesian Approaches; Power and Sample Size; Interim Analysis; Futility and Sample Size; Case Example; Modelling of Overall Survival; Maximum Likelihood Estimation; Futility Analysis; Concluding Remarks ; SECION II Pre-Clinical and Clinical Research; ; 4. Pre-Clinical Efficacy Study ; Introduction; Evaluation of Lab-Based Drugs in Combination; Background; Statistical Methods; Antiviral Combination; Evaluation of Fixed Dose; SECTION I Background; ; 1. Bayesian Statistics in Pharmaceutical Development; Introduction; Overview of Drug Development; Basic Research; Drug Discovery; Formulation; Laboratory Test Methods; Pre-Clinical Studies; Clinical Development; Translational Research; Chemical Manufacturing and Control; Regulatory Registration; Statistics in Drug Research and Development; Bayesian Statistics; Opportunities of Bayesian Approach; Pre-Clinical Development; CMC Development; Clinical Trials; Challenges of Bayesian Approach; Objection to Bayesian; Regulatory Hurdles; Concluding Remarks ; 2. Basics of Bayesian Statistics ; Introduction; Statistical Inference; Research Questions; Probability Distribution; Frequentist Methods; Bayesian Inference; Selection of Priors; Bayesian Computation; Monte Carlo Simulation; Example; Markov Chain Monte Carlo; Computation Tools; BUGS and JAGS; SAS PROC MCMC; Utility of JAGS; Concluding Remarks ; 3. Bayesian Estimation of Sample Size and Power; Introduction; Sample Size Determination; Frequentist Methods; Bayesian Considerations; Bayesian Approaches; Power and Sample Size; Interim Analysis; Futility and Sample Size; Case Example; Modelling of Overall Survival; Maximum Likelihood Estimation; Futility Analysis; Concluding Remarks ; SECION II Pre-Clinical and Clinical Research; ; 4. Pre-Clinical Efficacy Study ; Introduction; Evaluation of Lab-Based Drugs in Combination; Background; Statistical Methods; Antiviral Combination; Evaluation of Fixed Dose Combination; Bayesian Survival Analysis; Limitations of Animal Data; Current Methods; Bayesian Solution; Case Example; Concluding Remarks ; 5. Bayesian Adaptive Design for Phase I Dose-Finding Studies; Introduction; Algorithm-Based Design; 3+3 Design; Alternate Algorithm-Based Designs; Advantages and Disadvantages of Algorithm-Based Designs; Model Based Designs; Continual Reassessment Methods; CRM for Phase I Cancer Trials; Escalation with Overdose Control; Escalation Based on Toxicity Intervals; Concluding Remarks ; 6. Design and Analysis of Phase II Dose-Ranging Studies; Introduction; Phase II Dose-Ranging Studies; Criticisms of Traditional Methods; Model-Based Approaches; Estimating Predictive Precision and Assurance for New Trial; COPD Study; Estimation Method; Concluding Remarks ; 7. Bayesian Multi-Stage Designs for Phase II Clinical Trials; Introduction; Phase II Clinical Trials; Multi-Stage Designs; Frequentist Approaches; Bayesian Methods; Bayesian Single-Arm Trials; Continuous Monitoring of Single-Arm Trials; Comparative Phase II Studies; Examples; Oncology Trial; Multi-Stage Bayesian Design; Concluding Remarks ; SECTION III Chemistry, Manufacturing, and Control; ; 8. Analytical Methods ; Introduction; Method Validation; Background; Study Design for Validation of Accuracy and Precision; Current Statistical Methods; Total Error Approach; Bayesian Solutions; Example; Method Transfer; Background; Model; Linear Response; Case Example; Concluding Remarks 9. Process Development ; Introduction; Quality by Design; Critical Quality Attributes; Risk of Oncogenicity; Bayesian Risk Assessment; Modeling Enzyme Cutting Efficiency; Bayesian Solution; Example; Design Space; Definition; Statistical Methods for Design Space; Bayesian Design Space; Example; Process Validation; Risk-Based Lifecycle Approach; Method Based on Process Capability; Method Based on Predictive Performance; Determination of Number of PPQ Batches; Concluding Remarks ; 10. Stability ; Introduction; Stability Study; Shelf-Life Estimation; Current Methods; Bayesian Approaches; Examples; Selection of Stability Design; Bayesian Criterion; Setting Release Limits; Concluding Remarks 11. Process Control ; Introduction; Quality Control and Improvement; Control Charts; Types of Control Charts; Shewhart I-MR Chart; EWMA Control Chart; CUSUM Control Chart; J-Chart; Multivariate Control Chart; Bayesian Control Charts; Control Chart for Data with Censoring; Control Chart for Discrete Data; Control Limit for Aberrant Data; Product Quality Control Based on Safety Data from Surveillance; Concluding Remarks ; … (more)
- Publisher Details:
- Boca Raton : CRC Press, Taylor & Francis Group
- Publication Date:
- 2019
- Extent:
- 1 online resource
- Subjects:
- 615.1/9
Drug development
Biopharmaceutics
Clinical trials
Bayesian statistical decision theory
R (Computer program language)
MATHEMATICS / Probability & Statistics / General
MEDICAL / Pharmacy
MEDICAL / Biostatistics
Bayesian statistical decision theory
Biopharmaceutics
Clinical trials
Drug development
R (Computer program language)
Electronic books - Languages:
- English
- ISBNs:
- 9781315100388
9781351585941
1351585940
9781351585927
1351585924
9781351585934
1351585932 - Related ISBNs:
- 131510038X
9781138295872 - Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (EBSCO, viewed July 01, 2019). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library HMNTS - ELD.DS.449229
- Ingest File:
- 03_023.xml