Experts Guide for Media

Topic: Statistical models

Jeremy Taylor Jeremy Taylor, PhD

Professor of Biostatistics
Phone: (734) 936-3287 E-mail: jmgt@umich.edu
Faculty Profile

  • Works on theory and application of statistics to biomedical problems ranging from AIDS to cancer.
  • His radiation oncology research has focused on the effect of fraction size, total dose, time and volume on the biological response to radiation; has studied the response of both tumors and normal tissues to radiation.
  • Expert in longitudinal and survival analysis, cure models, missing data, Box-Cox transformations, statistical methods for bioinformatics, surrogate and auxiliary variables, statistical modeling of biomedical data.
  • Other UM appointments include professor in the Department of Radiation Oncology in the School of Medicine, director of the Cancer Center Biostatistics Unit, and director of the Cancer/Biostatistics training program.

Other topics for Jeremy Taylor

SPH Faculty Experts for Statistical models

Michael BoehnkeMichael Boehnke, PhD

Professor in Biostatistics
Phone: (734) 936-1001 E-mail: boehnke@umich.edu

  • Research focuses on problems of study design and statistical analysis of human genetic data, with a particular emphasis on development and application of statistical methods for human gene mapping.      MORE

Brenda GillespieBrenda Gillespie, PhD

Assistant Professor in Biostatistics
Phone: 734-647-4609 E-mail: bgillesp@umich.edu

  • Works on application of statistical regression models to biomedical problems in a variety of areas including glaucoma, STDs, and organ transplant.      MORE

James KoopmanJames Koopman, MD, MPH

Professor in Epidemiology
Phone: 734 763 5629 E-mail: jkoopman@umich.edu

  • Concerned with all aspects of infectious diseases, but especially the control of infection spread in populations, newly emerging infections like SARS, and vaccines.      MORE

Jeremy TaylorJeremy Taylor, PhD

Professor in Biostatistics
Phone: (734) 936-3287 E-mail: jmgt@umich.edu

  • Works on theory and application of statistics to biomedical problems ranging from AIDS to cancer.     MORE

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