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Hello, and Welcome!

I recently completed my dissertation research related to causal inference for multiple simultaneous continuous exposures as part of my Ph.D. in the Department of Biostatistics at UCLA. In the past I have worked on statistical methods related to censored regression and simulating longitudinal differential abundance of the microbiome. Many of these projects have resulted in R packages that I have authored including tcensReg, mvGPS, and microbiomeDASim which can be seen in the repositories.

I currently work for the Los Angeles Dodgers as a Quantitative Analyst.

I code primarily in R and use LaTeX for scientific writing. Some of my favorite tools to help my work are Overleaf, which has been an extremely helpful way to work collaboratively on manuscripts written with LaTeX, and the xaringan R package (https://github.com/yihui/xaringan) for creating presentations such as my dissertation.

I enjoy hiking 🗻, spending time outdoors ⛺, and baseball ⚾. Any feedback when implementing my projects here is always welcome. If you want to reach me you can 📧 me at [email protected].

Justin Williams's Projects

ggplot.spaghetti icon ggplot.spaghetti

Function for creating time-series plots using ggplot. Updated from legacy project r-ggplotspaghetti

gps.continuousnav icon gps.continuousnav

Functions used for running generalized propensity score methods with a continuous treatment, where treatment is assigned at the highest level in study.

microbiomedasim icon microbiomedasim

Tools to simulate longitudinal differential abundance for microbiome data

mvgps icon mvgps

Tools for estimating causal effects for multivariate continuous exposures

paws icon paws

Paws, a package for Amazon Web Services in R

rwindow.baseball icon rwindow.baseball

R package for analyzing the length of a teams window in MLB. Pulls data from baseball-reference

tcensreg icon tcensreg

tcensReg is a package written to obtain maximum likelihood estimates from a truncated normal distribution with censoring.

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