Statistical Methodology and Applications to HIV/AIDS Immunologic and Virologic Outcomes

首席研究员Samantha MaWhinney博士将致力于学习与艾滋病毒/艾滋病研究相关的免疫学和病毒学。她将发展该领域的工作知识，将其应用于转化研究，将基础科学的发现应用于疾病的预防、早期检测和治疗。MaWhinney博士将与她的基础科学和临床研究者主持/导师确定新的合作项目。要做到这一点，她将：a)参加分子和细胞生物学课程；B)参加免疫学课程；c)参加艾滋病毒/艾滋病病毒学讲座；d)参加有关艾滋病毒/艾滋病的研讨会；E)在她的导师/东道主的实验室之间轮流进行免疫学/病毒学实验室分析培训，并了解潜在的生物学机制；f)从事特定的假设驱动的项目。MaWhinney博士将识别多变量、纵向收集的免疫学和病毒学结果，并将其纳入动态生物学精确模型，该模型依赖于多变量状态空间和混合效应、变系数方法以及数学模型与统计推断的相互作用。MaWhinney博士将把她从IGMS奖项中获得的知识和经验应用于她所在大学的生物统计学教育和研究的更广泛背景下，以及生物统计学、艾滋病毒/艾滋病、免疫学、病毒学和临床试验等更广泛的领域。她计划为艾滋病毒/艾滋病研究人员和生物统计学家组织和举办研讨会。她的目标是在生物统计学和艾滋病毒/艾滋病研究文献中发表合作和方法论文。此外，她的IGMS提案正被用作免疫学/传染病跟踪的模型，用于生物统计学博士生的跨学科培训资助，该资助将于9月提交给国家普通医学科学研究所（NIGMS）。该IGMS项目由MPS多学科活动办公室（OMA）和数学科学司（DMS）联合支持。

The Principal Investigator, Dr. Samantha MaWhinney, will devote her efforts to learning immunology and virology relevant to HIV/AIDS research. She will develop a working knowledge of the field as it applies to translational research, the application of discoveries in the basic sciences to the prevention, early detection, and treatment of disease. Dr. MaWhinney will identify new collaborative projects with her basic science and clinical investigator host/mentors. To accomplish this she will: a) take a course in molecular and cellular biology; b) take a course in immunology; c) attend lectures on HIV/AIDS virology; d) attend seminars on HIV/AIDS; e) spend the remainder rotating between the laboratories of her mentor/hosts training on immunology/virology laboratory assays and gaining an understanding of the underlying biological mechanisms; and f) work on specific hypothesis-driven projects. Dr. MaWhinney will identify multivariate, longitudinally collected immunologic and virologic outcomes to incorporate in dynamic biologically-accurate models relying on multivariate state-space and mixed-effects, varying-coefficient methods and the interaction of mathematical models with statistical inference. Dr. MaWhinney will apply the knowledge and experience she gains through the IGMS award in the broader context of biostatistics education and research at her university, and in the wider communities of biostatistics, HIV/AIDS, immunology, virology and clinical trials. She plans on organizing and giving seminars for HIV/AIDS researchers and biostatisticians. She aims to publish collaborative and methods papers in the biostatistical and HIV/AIDS research literature. In addition, her IGMS proposal is being used as the model for an immunology/infectious disease track for an interdisciplinary training grant for biostat PhD students which will be submitted to The National Institute of General Medical Sciences (NIGMS) in September. This IGMS project is jointly supported by the MPS Office of Multidisciplinary Activities (OMA) and the Division of Mathematical Sciences (DMS).