Acknowledgements | |
Forward | |
Opportunity for Efficiency | |
The Adaptive Solution | |
An Industrial Success Story | |
Signs of Trouble Ahead | |
Converging Challenges | |
The Struggle to Replace Lost Revenues | |
Clinical Research is the Key | |
Behind the High Costs of Clinical Development | |
High Costs and Increasing Prices | |
Growing Pressures Mandate Greater Efficiency | |
The High Risk of Current Development Practices | |
Economic Consequences of Faster Clinical Development | |
Thriving in a New Era | |
Defining and Extending the Adaptive Approach | |
The Adaptive Concept | |
Knowledge, Time and Decision-Making | |
The Value of Early Knowledge | |
The Spectrum of Design and Operational Adaptations | |
Maximizing the Adaptive Approach: Agile Clinical Development | |
Measure Performance in Real-time | |
Metrics in Action | |
Right Information to the Right Eyes at the Right Time | |
Make Timely Decisions | |
Organize Work in Lean Processes | |
Rework in Clinical Studies | |
Backflow of Patient Data | |
Match Technology with Tasks | |
Objections to Adaptive Methods | |
Integrity and Validity | |
The Regulatory Environment | |
The Complexity of Clinical Research | |
Conclusion | |
Design Adaptations Part One: Finding the Right Dose | |
Background | |
Types of Design Adaptations | |
Order of Discussion | |
Dosing Nomenclature | |
etermining Maximum Safe Dose | |
Single Arm | |
Continual Reassessment Method | |
Other Bayesian Dose-Finding Methods | |
Determining Optimal Dose (Pruning) | |
Multiple Arms | |
Improvements over Conventional Approaches to Dose Finding | |
Dose Selection in Practice | |
Optimizing Dose Selection | |
Minimizing Costs vs. Maximizing Information | |
Surrogate Endpoints | |
Conclusion | |
Design Adaptations Part Two: Additional Design Changes | |
Sample-Size Reestimation | |
The Trouble with Planning Estimates | |
The High Cost of "Underbuilt" Studies | |
The Benefits of Reestimation and Rightsizing | |
Reestimation and Trial Stages | |
Rules to Restrict Reestimation | |
Adjusting Sample Size for Nuisance Parameters | |
Seamless Designs: Combining Multiple Phases | |
When to Consider Seamless Studies | |
Seamless Phase I/Phase II Trials | |
Seamless Phase II/Phase III Trials | |
Planning Issues in Seamless Trials | |
Phase I-II-III Designs | |
Adaptive Randomization | |
Response-Adaptive Randomization | |
Other Forms of Adaptive Randomization | |
Other Types of Design Adaptations | |
Noninferiority-to-Superiority Design | |
Adaptive Hypotheses and Subpopulations | |
Treatment Switching | |
Conclusions | |
Operational Adaptations | |
Design and Operational Adaptations | |
The Nature and Significance of Operational Adaptations | |
Implementing Operational Adaptations | |
Enrollment and Other Site Issues | |
Data Quality | |
Monitoring | |
Site Closeout and Database Lock | |
Supporting Functions for Efficient Operations | |
The Bottom Line | |
Agile Clinical Development | |
Benefits of Agile Development | |
A Development Example | |
Program Planning | |
Safety Testing (Phase I) | |
Design | |
Planning | |
Operational Considerations | |
Putting the Plan into Action | |
Benefits Realized | |
Transition to Dose-Finding Study | |
Dose Finding (Phase II) | |
Design | |
Planning | |
Operational Considerations | |
Putting the Plan into Action | |
Benefits Realized | |
Transition to Confirmatory Studies | |
Confirmatory Testing (Phase III) | |
Design | |
Planning | |
Operational | |
Putting the Plan into Action | |
Benefits Realized | |
Transition to Regulatory Filings | |
Summing Up: The Power of Agile Development | |
Planning Adaptive Programs | |
Determining Design Adaptations and their Requirements | |
Determining Operational Requirements to Support Design Adaptations | |
Ensuring the Ability to Meet Operational Requirements | |
The Importance of Programmatic Thinking | |
Looking Ahead | |
Advisory and Oversight Groups | |
Optimizing the Planning Process | |
Regulatory Discussions | |
Contingency Planning | |
Planning Tools and Techniques | |
Decision Trees | |
Simulation | |
Uncertainties in Clinical Research | |
Simulation Tools | |
Simulation Step by Step | |
The Limitations of Simulation | |
Conclusions | |
Statistics and Decision Making in Adaptive Research | |
The Frequentist Approach | |
What Frequentist Results Say about the Results of a Clinical Study | |
Using Frequentist Results to Make Decisions Based on Individual Trials | |
Other Issues with Frequentist Methods | |
The Bayesian Approach | |
Prior Distributions | |
How Bayesian Statistics Works | |
Bayesian Statistics in the Real World | |
Bayesian Methods in Clinical Research | |
Comparing Bayesian and Frequentist Methods.\ | |
Prior Distributions | |
The Pharma Context | |
Learning and Confirming | |
Ethical and Operational Issues | |
Regulatory Considerations | |
Conclusions | |
Frequentists, Bayesians, and Pragmatists | |
The Agile Platform | |
Essential Types of Data | |
Management Cycles in Clinical Studies | |
The Common Platform for Design and Operational Adaptations | |
Data Capture | |
Data-Capture Technologies | |
The First Generation | |
The Second Generation | |
The Third Generation | |
Data Cleaning and Validation Technology | |
Data Analysis Tools | |
Randomization | |
Site Management | |
Supply-Chain Management | |
Communications | |
Conclusions | |
The Future of Clinical Development | |
Is Restructuring an Alternative to Improving Clinical Development? | |
Greater Efficiency: Changes that Everyone Can Applaud | |
Biotechs and Emerging Low-Cost Competitors | |
Globalization, Offshoring, and Outsourcing | |
Managing More Complex Trials | |
Individualized Medicine Demands Greater Efficiency | |
A More Important Role for Postmarketing Studies | |
The Reward for Greater Efficiency | |
Financial Implications of the Agile Approach | |
Financial Implications of the Agile Approach for the Drug Industry | |
A Brighter Future for Clinical Development | |
First Steps toward Agile Development | |
A Eight-Point Program for Embracing the Adaptive Approach | |
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