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73 results

Page 1 of 4

  • 5 - Matrices for Climate Data

  • Samuel S. P. Shen, San Diego State University, Gerald R. North, Texas A & M University
  • Book:
    Statistics and Data Visualization in Climate Science with R and Python
    Published online:
    09 November 2023
    Print publication:
    30 November 2023, pp 165-199
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Statistics and Data Visualization in Climate Science with R and Python
  • Samuel S. P. Shen, Gerald R. North
  • Published online:
    09 November 2023
    Print publication:
    30 November 2023
  • A comprehensive overview of essential statistical concepts, useful statistical methods, data visualization, and modern computing tools for the climate sciences and many others such as geography and environmental engineering. It is an invaluable reference for students and researchers in climatology and its connected fields who wish to learn data science, statistics, R and Python programming. The examples and exercises in the book empower readers to work on real climate data from station observations, remote sensing and simulated results. For example, students can use R or Python code to read and plot the global warming data and the global precipitation data in netCDF, csv, txt, or JSON; and compute and interpret empirical orthogonal functions. The book's computer code and real-world data allow readers to fully utilize the modern computing technology and updated datasets. Online supplementary resources include R code and Python code, data files, figure files, tutorials, slides and sample syllabi.

  • Challenges and strategies for recruitment of minorities to clinical research and trials

  • Susan P. Fisher-Hoch, Jennifer E. Below, Kari E. North, Joseph B. McCormick
  • Journal:
    Journal of Clinical and Translational Science / Volume 7 / Issue 1 / 2023
    Published online by Cambridge University Press:
    13 June 2023, e154
    • Article
      • You have access
      • Open access
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  • Minority populations are largely absent from clinical research trials. The neglect of these populations has become increasingly apparent, with escalating cancer burdens and chronic disease. The challenges to recruitment of minorities in the United States are multiple including trust or lack thereof. Keys to successful recruitment are responding to community issues, its history, beliefs, and its social and economic pressures. The strategy we have used in many low-income, sometimes remote, communities is to recruit staff from the same community and train them in the required basic research methods. They are the first line of communication. After our arrival in the Texas Rio Grande Valley in 2001, we applied these principles learned over years of global research, to studies of chronic diseases. Beginning in 2004, we recruited and trained a team of local women who enrolled in a cohort of over five thousand Mexican Americans from randomly selected households. This cohort is being followed, and the team has remained, acquiring not only advanced skills (ultrasound, FibroScan, retinal photos, measures of cognition, etc.) but capacity to derive key health information. Currently, we are participating in multiple funded studies, including an NIH clinical trial, liver disease, obesity, and diabetes using multiomics aimed at developing precision medicine approaches to chronic disease prevention and treatment.

  • S47.04 Psychopathology following brain injury; Impact on return to work

  • P. North
  • Journal:
    European Psychiatry / Volume 15 / Issue S2 / October 2000
    Published online by Cambridge University Press:
    16 April 2020, p. 309s
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Page 1 of 4