Quantitative Methods for HIV/AIDS Research

Quantitative Methods for HIV/AIDS Research by Cliburn Chan, published by Taylor & Francis in 2017, offers a detailed examination of contemporary statistical techniques for analyzing HIV/AIDS data. This edition spans 308 pages and is presented in English, addressing the unique statistical challenges encountered in clinical trials and epidemiology related to HIV/AIDS research.
Readers will find a thorough exploration of various quantitative methods, with the book divided into three main sections. The first section discusses statistical issues specific to clinical trials and epidemiology, while the second focuses on laboratory data analysis for immune monitoring and vaccine development. The final section delves into mathematical modeling related to HIV/AIDS pathogenesis and treatment. This work aims to foster collaboration among statisticians, mathematicians, and computer scientists in tackling the complexities of the AIDS pandemic.
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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.
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