Quantitative Methods for HIV/AIDS Research, 1st edition

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; t...

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Những tác giả chính: Chan, Cliburn, Hudgens, Michael G., Chow, Shein-Chung
Định dạng: Sách
Ngôn ngữ:English
Được phát hành: Chapman and Hall/CRC 2020
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Truy cập trực tuyến:https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/93693
https://doi.org/10.1201/9781315120805
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spelling oai:scholar.dlu.edu.vn:DLU123456789-936932023-11-11T07:12:16Z Quantitative Methods for HIV/AIDS Research, 1st edition Chan, Cliburn Hudgens, Michael G. Chow, Shein-Chung Bioscience Medicine Mathematics & Statistics Dentistry 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. 2020-06-25T02:11:23Z 2020-06-25T02:11:23Z 2017 Book 9781315120805 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/93693 https://doi.org/10.1201/9781315120805 en application/pdf Chapman and Hall/CRC New York
institution Thư viện Trường Đại học Đà Lạt
collection Thư viện số
language English
topic Bioscience
Medicine
Mathematics & Statistics
Dentistry
spellingShingle Bioscience
Medicine
Mathematics & Statistics
Dentistry
Chan, Cliburn
Hudgens, Michael G.
Chow, Shein-Chung
Quantitative Methods for HIV/AIDS Research, 1st edition
description 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.
format Book
author Chan, Cliburn
Hudgens, Michael G.
Chow, Shein-Chung
author_facet Chan, Cliburn
Hudgens, Michael G.
Chow, Shein-Chung
author_sort Chan, Cliburn
title Quantitative Methods for HIV/AIDS Research, 1st edition
title_short Quantitative Methods for HIV/AIDS Research, 1st edition
title_full Quantitative Methods for HIV/AIDS Research, 1st edition
title_fullStr Quantitative Methods for HIV/AIDS Research, 1st edition
title_full_unstemmed Quantitative Methods for HIV/AIDS Research, 1st edition
title_sort quantitative methods for hiv/aids research, 1st edition
publisher Chapman and Hall/CRC
publishDate 2020
url https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/93693
https://doi.org/10.1201/9781315120805
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