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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Định dạng: | Sách |
Ngôn ngữ: | English |
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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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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 |
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Thư viện Trường Đại học Đà Lạt |
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Thư viện số |
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English |
topic |
Bioscience Medicine Mathematics & Statistics Dentistry |
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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 |
_version_ |
1782543649518649344 |