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Jeremy M. G. Taylor

Researcher at University of Michigan

Publications -  497
Citations -  32870

Jeremy M. G. Taylor is an academic researcher from University of Michigan. The author has contributed to research in topics: Cancer & Population. The author has an hindex of 85, co-authored 476 publications receiving 30831 citations. Previous affiliations of Jeremy M. G. Taylor include Mayo Clinic & University of Western Australia.

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Gene-expression profiles predict survival of patients with lung adenocarcinoma

TL;DR: The identification of a set of genes that predict survival in early-stage lung adenocarcinoma allows delineation of a high-risk group that may benefit from adjuvant therapy.
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The hazard of accelerated tumor clonogen repopulation during radiotherapy.

TL;DR: It is suggested that, on average, clonogen repopulation in squamous cell carcinomas of the head and neck accelerates only after a lag period of the order of 4 +/- 1 weeks after initiation of radiotherapy and that a dose increment of about 0.6 Gy per day is required to compensate for this repopulating.
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Robust Statistical Modeling Using the t Distribution

TL;DR: In this paper, an analytical strategy based on maximum likelihood for a general model with multivariate t errors is suggested and applied to a variety of problems, including linear and nonlinear regression, robust estimation of the mean and covariance matrix with missing data, unbalanced multivariate repeated-measures data, multivariate modeling of pedigree data, and multivariate non-linear regression.
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Discordant Protein and mRNA Expression in Lung Adenocarcinomas

TL;DR: The relationship between gene expression measured at the mRNA level and the corresponding protein level is not well characterized in human cancer, and it is shown that only a subset of the proteins exhibited a significant correlation with mRNA abundance.
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The prognostic value of cellular and serologic markers in infection with human immunodeficiency virus type 1.

TL;DR: In this article, the authors evaluated three cellular and five serologic markers that are affected by infection with the human immunodeficiency virus type 1 (HIV-1) for their ability to predict the progression to clinical AIDS, and concluded that progression to AIDS was predicted most accurately by the level of CD4+ T cells in combination with the serum level of either neopterin or beta 2-microglobulin.