Quantitative Methods for HIV_AIDS Research (2017) Pdf Free Download

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Acquired immune deficiency syndrome (AIDS) was first defined by the Centers for Disease Control and Prevention (CDC) in 1982, following unprecedented outbreaks of Pneumocystis carinii pneumonia and Kaposi’s sarcoma in young men in California and New York. It was soon recognized that AIDS was a pandemic infectious disease, and human immunodeficiency virus (HIV) (then known as HTLV-III/LAV) was identified as the causal agent in 1984. The Centers for AIDS Research (CFAR) program was established in 1988 to support a multidisciplinary environment that promotes basic, clinical, epidemiological, behavioral, and translational research in the prevention, detection, and treatment of HIV infection and AIDS. Although sponsored by the Division of AIDS, the CFAR program is supported by multiple NIH institutes and centers, including NIAID, NCI, NICHD, NHLBI, NIDA, NIMH, NIA, NIDDK, NIGMS, NIMHD, FIC, and OAR.
An essential aspect of the multidisciplinary support is the collaboration with and mentoring of biomedical researchers by the statisticians, mathematicians, and computational biologists associated with CFAR quantitative cores. CFAR quantitative core faculty are deeply involved in the cutting edge of statistical and mathematical analysis of HIV/AIDS laboratory tests, clinical trials, vaccine development, and epidemiological surveys across the CFAR. Although many of these analyses are statistical in nature, mathematical modeling and computational simulation play a more important role in HIV/AIDS research compared with many other research fields. HIV/AIDS research has stimulated many innovative statistical, mathematical, and computational developments, but these advances have been dispersed over specialized publications, limiting the ability to see common themes and cross-fertilization of ideas.

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