Quantitative Methods for HIV/AIDS Research

Cliburn Chan, Michael G. Hudgens, Shein-Chung Chow

August 15, 2017 by Chapman and Hall/CRC
Reference - 290 Pages
ISBN 9781498734233 - CAT# K26357
Series: Chapman & Hall/CRC Biostatistics Series


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    • State-of-the-art methods described by well-known contributors
    • Emphasizes bench-to-bedside translational research in HIV/AIDS research
    • Provides a comprehensive summarization of the application of computational biology including big data analytics and model building
    • Introduces the potential use of adaptive design methods in HIV/AIDS clinical trials such as vaccine clinical trials



Quantitative Methods in HIV/AIDS Research provides a comprehensive discussion of modern statistical approaches for the analysis of HIV/AIDS data. The first section focuses on statistical issues in clinical trials and epidemiology that are unique to or particularly challenging in HIV/AIDS research; the second section focuses on the analysis of laboratory data used for immune monitoring, biomarker discovery and vaccine development; the final section focuses on statistical issues in the mathematical modeling of HIV/AIDS pathogenesis, treatment and epidemiology.

This book brings together a broad perspective of new quantitative methods in HIV/AIDS research, contributed by statisticians and mathematicians immersed in HIV research, many of whom are current or previous leaders of CFAR quantitative cores. It is the editors’ hope that the work will inspire more statisticians, mathematicians and computer scientists to collaborate and contribute to the interdisciplinary challenges of understanding and addressing the AIDS pandemic.