Book contents
- Alzheimer’s Disease Drug Development
- Alzheimer’s Disease Drug Development
- Copyright page
- Dedication
- Contents
- Contributors
- Foreword
- Acknowledgments
- Section 1 Advancing Alzheimer’s Disease Therapies in a Collaborative Science Ecosystem
- Section 2 Non-clinical Assessment of Alzheimer’s Disease Candidate Drugs
- Section 3 Alzheimer’s Disease Clinical Trials
- 11 Phase 1 Trials in Alzheimer’s Disease Drug Development
- 12 The Importance of Phase 2 in Drug Development for Alzheimer’s Disease
- 13 Alzheimer’s Disease Drug Development in Pharmaceutical Companies
- 14 Trial Site Infrastructure and Management: Importance to Alzheimer’s Disease Drug Development
- 15 ATRI and ACTC: Academic Programs to Accelerate Alzheimer’s Disease Drug Development
- 16 The European Prevention of Alzheimer’s Disease Program: A Public–Private Partnership to Facilitate the Secondary Prevention of Alzheimer’s Disease Dementia
- 17 The Global Alzheimer’s Platform Foundation®: Delivering New Medicines Faster by Accelerating Clinical Trials
- 18 Clinical Trial Development in Frontotemporal Lobar Degeneration
- 19 Statistical Considerations in the Design and Analysis of Alzheimer’s Disease Clinical Trials
- 20 Alzheimer’s Disease Trial Recruitment and Diversifying Trial Populations
- 21 The Role of Online Registries in Accelerating Alzheimer’s Disease Drug Development
- 22 Data Safety Monitoring Boards in Alzheimer’s Disease Trials
- 23 Globalization of Alzheimer’s Disease Clinical Trials
- 24 The Use and Development of Clinical Measures of Alzheimer’s Disease Trials
- 25 Tele-Trials, Remote Monitoring, and Trial Technology for Alzheimer’s Disease Clinical Trials
- 26 Expanded Access and Compassionate Use in Alzheimer’s Disease Drug Development
- 27 The Role of the Contract Research Organization in Alzheimer’s Disease: The Vital Link in the Clinical Drug-Development Program
- 28 The Role of Regulatory Agencies in Alzheimer’s Disease Drug Development
- 29 Alzheimer’s Disease Clinical Trial Study Partners
- 30 From Trials to Practice: Are We Ready for a Disease-Modifying Treatment?
- 31 Best Practices for Clinical Trials during COVID-19
- Section 4 Imaging and Biomarker Development in Alzheimer’s Disease Drug Discovery
- Section 5 Academic Drug-Development Programs
- Section 6 Public–Private Partnerships in Alzheimer’s Disease Drug Development
- Section 7 Funding and Financing Alzheimer’s Disease Drug Development
- Index
- References
19 - Statistical Considerations in the Design and Analysis of Alzheimer’s Disease Clinical Trials
from Section 3 - Alzheimer’s Disease Clinical Trials
Published online by Cambridge University Press: 03 March 2022
- Alzheimer’s Disease Drug Development
- Alzheimer’s Disease Drug Development
- Copyright page
- Dedication
- Contents
- Contributors
- Foreword
- Acknowledgments
- Section 1 Advancing Alzheimer’s Disease Therapies in a Collaborative Science Ecosystem
- Section 2 Non-clinical Assessment of Alzheimer’s Disease Candidate Drugs
- Section 3 Alzheimer’s Disease Clinical Trials
- 11 Phase 1 Trials in Alzheimer’s Disease Drug Development
- 12 The Importance of Phase 2 in Drug Development for Alzheimer’s Disease
- 13 Alzheimer’s Disease Drug Development in Pharmaceutical Companies
- 14 Trial Site Infrastructure and Management: Importance to Alzheimer’s Disease Drug Development
- 15 ATRI and ACTC: Academic Programs to Accelerate Alzheimer’s Disease Drug Development
- 16 The European Prevention of Alzheimer’s Disease Program: A Public–Private Partnership to Facilitate the Secondary Prevention of Alzheimer’s Disease Dementia
- 17 The Global Alzheimer’s Platform Foundation®: Delivering New Medicines Faster by Accelerating Clinical Trials
- 18 Clinical Trial Development in Frontotemporal Lobar Degeneration
- 19 Statistical Considerations in the Design and Analysis of Alzheimer’s Disease Clinical Trials
- 20 Alzheimer’s Disease Trial Recruitment and Diversifying Trial Populations
- 21 The Role of Online Registries in Accelerating Alzheimer’s Disease Drug Development
- 22 Data Safety Monitoring Boards in Alzheimer’s Disease Trials
- 23 Globalization of Alzheimer’s Disease Clinical Trials
- 24 The Use and Development of Clinical Measures of Alzheimer’s Disease Trials
- 25 Tele-Trials, Remote Monitoring, and Trial Technology for Alzheimer’s Disease Clinical Trials
- 26 Expanded Access and Compassionate Use in Alzheimer’s Disease Drug Development
- 27 The Role of the Contract Research Organization in Alzheimer’s Disease: The Vital Link in the Clinical Drug-Development Program
- 28 The Role of Regulatory Agencies in Alzheimer’s Disease Drug Development
- 29 Alzheimer’s Disease Clinical Trial Study Partners
- 30 From Trials to Practice: Are We Ready for a Disease-Modifying Treatment?
- 31 Best Practices for Clinical Trials during COVID-19
- Section 4 Imaging and Biomarker Development in Alzheimer’s Disease Drug Discovery
- Section 5 Academic Drug-Development Programs
- Section 6 Public–Private Partnerships in Alzheimer’s Disease Drug Development
- Section 7 Funding and Financing Alzheimer’s Disease Drug Development
- Index
- References
Summary
Statistical issues are prominent in Alzheimer’s disease (AD) clinical trials due to the enormous challenges in this disease. The complexity of the disease and intervention pathways challenge drug discovery efforts, but measurement and analysis complexities and subjective outcomes also interfere with successful drug development. Variability across disease stage, disease sub-types, comorbidities and concomitant treatments (between-subject), and non-equivalent forms, good and bad days, and rater inconsistencies (within-subject) increase the chance of failure. AD-specific statistical expertise is critical for success, in contrast to most disease areas that require less disease-specific statistical knowledge. Use of global statistical tests and composites, correcting for covariates, and model selection increase the chance of a clearly positive outcome for active treatments and a clearly negative outcome for inactive or harmful treatments.
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- Alzheimer's Disease Drug DevelopmentResearch and Development Ecosystem, pp. 232 - 248Publisher: Cambridge University PressPrint publication year: 2022