Quantitative Methods for Hiv/AIDS Research

ISBN-13: 9781498734233 / Angielski / Twarda / 2017 / 290 str.

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

Opis

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.

Recenzje

"The book highlights statistical and mathematical work done in the quantitative cores of the Centers for AIDS Research (CFARs), a network of centers funded by the US National Institutes of Health, and gives a good sense of the breadth of quantitative issues involved in the varied research streams in HIV/AIDS. The level of the text varies between introductory overview and cutting-edge; some sections will be more useful for beginners in that area, others for experienced professionals with a challenging problem. Even having worked in HIV research for the bulk of my career, I learned something; simultaneously, I expect that someone new to the area would find it a useful introduction."
~Nicole Bohme Carnegie, Montana State University