The Biostatistics Core of this project will be led by Professor Richard Olshen, who will be joined in supportive efforts by Professors Bradley Efron and Lu Tian. There will be high level statistical consulting on all projects and all investigators of SHIMR by these investigators. All data made available to these individuals will be anonymized compliant with HIPPA rules. Open source computer programs written in the popular R language www.r-project.org/ will be made available to SHIMR investigators. Stanford's Data Coordinating Center (DCC) is the umbrella organization that will supervise writing these open source computer programs. In most instances the programs will call existing routines, available for downloading from CRAN http://cran.r proiect.org/, though occasionally we will create the ingredient routines ourselves.
We wish to analyze a variety of different disease/vaccine models in order to define common and unique characteristics of responder and non-responder individuals. The Biostatistics Core will work with the investigators on all Research Projects and Cores to provide statistical analyses that should be illuminating both to specific questions regarding these study groups and will also be of benefit generally with respect to metrics of immunological health.
|Qi, Qian; Liu, Yi; Cheng, Yong et al. (2014) Diversity and clonal selection in the human T-cell repertoire. Proc Natl Acad Sci U S A 111:13139-44|
|Chang, Serena; Kohrt, Holbrook; Maecker, Holden T (2014) Monitoring the immune competence of cancer patients to predict outcome. Cancer Immunol Immunother 63:713-9|
|Qi, Qian; Zhang, David W; Weyand, Cornelia M et al. (2014) Mechanisms shaping the naïve T cell repertoire in the elderly - thymic involution or peripheral homeostatic proliferation? Exp Gerontol 54:71-4|
|Shekhar, Karthik; Brodin, Petter; Davis, Mark M et al. (2014) Automatic Classification of Cellular Expression by Nonlinear Stochastic Embedding (ACCENSE). Proc Natl Acad Sci U S A 111:202-7|
|Jackson, Katherine J L; Liu, Yi; Roskin, Krishna M et al. (2014) Human responses to influenza vaccination show seroconversion signatures and convergent antibody rearrangements. Cell Host Microbe 16:105-14|
|Lu, Yuan; Welsh, John P; Swartz, James R (2014) Production and stabilization of the trimeric influenza hemagglutinin stem domain for potentially broadly protective influenza vaccines. Proc Natl Acad Sci U S A 111:125-30|
|Wang, Chen; Liu, Yi; Xu, Lan T et al. (2014) Effects of aging, cytomegalovirus infection, and EBV infection on human B cell repertoires. J Immunol 192:603-11|
|O'Gorman, William E; Huang, Huang; Wei, Yu-Ling et al. (2014) The Split Virus Influenza Vaccine rapidly activates immune cells through Fc? receptors. Vaccine 32:5989-97|
|Rosenberg-Hasson, Yael; Hansmann, Leo; Liedtke, Michaela et al. (2014) Effects of serum and plasma matrices on multiplex immunoassays. Immunol Res 58:224-33|
|Kay, Alexander W; Fukuyama, Julia; Aziz, Natali et al. (2014) Enhanced natural killer-cell and T-cell responses to influenza A virus during pregnancy. Proc Natl Acad Sci U S A 111:14506-11|
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