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ctesta01/README.md

Hi there 👋

My work centers on the intersections of mathematics, statistics, health equity and disparities, and data visualization.

I'm currently a PhD student in Biostatistics at Harvard University.

Until recently, I was working with Nancy Krieger, Jarvis Chen and Pamela Waterman to understand how complex patterns of discrimination affect people's health using hierarchical/multi-level modeling and causal inference. We wrote a series of articles about COVID-19 in the United States including the following:

See more of our publications on my Google Scholar.

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  1. RUG-at-HDSI/rug-at-hdsi.org RUG-at-HDSI/rug-at-hdsi.org Public

    The website for the R User Group at the Harvard Data Science Initiative

    JavaScript 2

  2. covid.gradient.estimation covid.gradient.estimation Public

    Using generalized additive models to analyze COVID-19 US county level mortality data

    HTML 2 1

  3. spatial_poisson_covid spatial_poisson_covid Public

    A sparse CAR Poisson model of US COVID-19 county deaths in June 2020 - February 2021

    R 1

  4. longitudinal_eda_talk longitudinal_eda_talk Public

    A presentation on exploratory data visualization for longitudinal data in R using dplyr and ggplot2

    SCSS 1

  5. covid_osha covid_osha Public

    This repository stores the code which was used to render figures and analyses for the COVID-19: US Federal accountability for entry, spread, and inequities—lessons for the future manuscript.

    R 1