Chan / Hudgens / Chow Quantitative Methods for HIV/AIDS Research

1. Auflage 2017
ISBN: 978-1-4987-3425-7
Verlag: CRC Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 308 Seiten

Reihe: Chapman & Hall/CRC Biostatistics Series

This book will cover critical topics in quantitative methods that are commonly encountered in HIV/AIDS research, such as management of laboratory data, biomarker discovery in vaccine trials and safety and efficacy studies. Distinguished contributors will be invited from Centers for Aids Research at different universities and other research organizations that have a focus on HIV/AIDS research. This proposed volume is motivated by the need for biostatisticians working on HIV/AIDS-related research at separate institutions to share ideas and foster inter-institutional collaborations.

Autoren/Hrsg.

Chan, Cliburn

Hudgens, Michael G.

Chow, Shein-Chung

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Epidemiologie, Medizinische Statistik
• Mathematik | Informatik Mathematik Stochastik

Inhaltsverzeichnis

1. Design and analysis of HIV clinical trials with multiple or combined endpoints. 2. Design and analysis of HIV vaccine clinical trials. 3. Genetic and antigenic variation in HIV vaccine trials. 4. Biomarker development in HIV clinical research. 5. Design and Analysis for assessing perinatal transmission in HIV clinical trials. 6. Design and analysis of early stage HIV studies. 7. Modeling of HIV pathogenesis. 8. Modeling of HIV transmission. 9. Design of animal challenge studies for assessing the effects of HIV. 10. Methods for the statistical evaluation of data quality in large, multi-centered clinical trials. 11. Design and analysis of Phase I and phase II HIV vaccine trials. 12. Design and analysis of immunogenicity studies of HIV vaccine candidates. 13. Personalized medicine for patients with HIV. 14. Analysis of assay data related to cure, immune responses to vaccines, and incidence. 15. Computational biology and bioinformatics for HIV research. 16. Viral phylogenetics. 17. B cell phylogenetics for vaccines. 18. HIV dynamical systems models. 19. Social network analysis. 20. Statistical modeling for social behavioral science approaches. 21. Assay standardization. 22. Single cell Biomarkers. 23. Global Health perspectives